Sample records for choosing vehicle capacity
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CHOOSING THE POWER OF TRACTION ELECTRIC MOTORS FOR ELECTRIC VEHICLES
O. Smirnov; A. Borisenko
2017-01-01
Recommendations on choosing the power of the electric motor, depending on the weight of the vehicle, its speed and the run distance in the «only electricity» mode are developed. Based on mathematical modeling and a number of field tests of electric vehicles, a three-dimensional dependance of the power on the weight and the speed set is built and conclusions are presented.
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CHOOSING THE POWER OF TRACTION ELECTRIC MOTORS FOR ELECTRIC VEHICLES
Directory of Open Access Journals (Sweden)
O. Smirnov
2017-06-01
Full Text Available Recommendations on choosing the power of the electric motor, depending on the weight of the vehicle, its speed and the run distance in the «only electricity» mode are developed. Based on mathematical modeling and a number of field tests of electric vehicles, a three-dimensional dependance of the power on the weight and the speed set is built and conclusions are presented.
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METHOD OF CHOOSING THE TECHNOLOGY OF VEHICLE OPERATION ON DELIVERY ROUTES
Directory of Open Access Journals (Sweden)
Ye. Nagornyi
2014-10-01
Full Text Available A method for determining the technology of vehicles operation on delivery (team routes, which allows to determine the optimal sequence of cargo delivery to customers by vehicles of certain capacity in order to meet the requirements of cargo owners regarding the conditions of service is offered. Recommendations for creation of an automated system of forming the technology of vehicles operation on delivery routes are developed.
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The capacity to choose: reformulating the concept of choice in economic theory
Directory of Open Access Journals (Sweden)
Mark S. Peacock
2011-05-01
Full Text Available Despite being conceived as a ‘theory of rational choice’, orthodox economics fails to ascribe to human beings the ability to choose in a meaningful sense, something philosophical approaches to economics have long noted and tried to remedy. Tony Lawson’s critical realism is one attempt at a remedy. If, following Lawson, one conceives of choice as a ‘capacity’ of human beings, critical realist analysis suggests a distinction between humans’ possession and their exercise of this capacity. If one can sustain this distinction, one should be able to distinguish cases in which agents actually exercise their capacity to choose from those in which they do not. Investigation of this distinction does not, however, lead to the desired distinction between such cases. Consequently, a reformulation of the notion of choice is required. An implication for economic theory – namely, the possibility of conceptualizing ‘exploitation’ – is discussed.
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Assessment of capacity building needs among motor vehicle ...
African Journals Online (AJOL)
The motor vehicle mechanics trainers' are affected by the developments in the modern automobile technology (MAT) that brought about the use of auto scan tools for diagnosis and repair of modern vehicles in Nigeria. This study examined the capacity building needs among motor vehicle mechanics trainers in the use of ...
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On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment.
Alonso-Mora, Javier; Samaranayake, Samitha; Wallar, Alex; Frazzoli, Emilio; Rus, Daniela
2017-01-17
Ride-sharing services are transforming urban mobility by providing timely and convenient transportation to anybody, anywhere, and anytime. These services present enormous potential for positive societal impacts with respect to pollution, energy consumption, congestion, etc. Current mathematical models, however, do not fully address the potential of ride-sharing. Recently, a large-scale study highlighted some of the benefits of car pooling but was limited to static routes with two riders per vehicle (optimally) or three (with heuristics). We present a more general mathematical model for real-time high-capacity ride-sharing that (i) scales to large numbers of passengers and trips and (ii) dynamically generates optimal routes with respect to online demand and vehicle locations. The algorithm starts from a greedy assignment and improves it through a constrained optimization, quickly returning solutions of good quality and converging to the optimal assignment over time. We quantify experimentally the tradeoff between fleet size, capacity, waiting time, travel delay, and operational costs for low- to medium-capacity vehicles, such as taxis and van shuttles. The algorithm is validated with ∼3 million rides extracted from the New York City taxicab public dataset. Our experimental study considers ride-sharing with rider capacity of up to 10 simultaneous passengers per vehicle. The algorithm applies to fleets of autonomous vehicles and also incorporates rebalancing of idling vehicles to areas of high demand. This framework is general and can be used for many real-time multivehicle, multitask assignment problems.
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Directory of Open Access Journals (Sweden)
Charles Robert Standridge
2015-05-01
Full Text Available Purpose: A mathematical model is used to help determine the manufacturing capacity needed to support post-vehicle-application remanufacturing, repurposing, and recycling of lithium-ion batteries over time. Simulation is used in solving the model to estimate capacity in kWh. Lithium-ion batteries that are commonly used in the electrification of vehicles cannot be simply discarded post-vehicle-application due to the materials of which they are composed. Eventually, each will fail to hold a charge and will need to be recycled. Remanufacturing, allowing a battery to return to a vehicle application, and repurposing, transforming a battery for use in a non-vehicle application, postpone recycling and increase value. The mathematical model and its solution using simulation test the hypothesis that the capacity needed for remanufacturing, repurposing, and recycling as well as new battery production is a function of a single parameter: the percent of post-vehicle-application batteries that are remanufactured. Design/methodology/approach: Equations in the mathematical model represent the capacity needed for remanufacturing, repurposing, and recycling as well as new battery production as dependent variables. Independent variables are exogenous quantities as such as the demand for electrified vehicles of all types, physical properties of batteries such as their application life distribution including the time to recycling, and a single decision variable: the percent of post-vehicle-application batteries that are remanufactured. Values of the dependent variables over time are estimated by simulation for values of the percent of post-vehicle-application batteries ranging from 0% to 85% in steps of 5%. Findings and Originality/value: The simulation results support important insights for investment in capacity for remanufacturing, repurposing, and recycling of post-vehicle-application batteries as well as new batteries. The capacity needed for
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Battery prices and capacity sensitivity: Electric drive vehicles
DEFF Research Database (Denmark)
Juul, Nina
2012-01-01
, the prices at which the electric drive vehicles become of interest to the power system are found. Smart charge, including the opportunity to discharge (vehicle-to-grid) is used in all scenarios. Analyses show that the marginal benefits decrease the larger the battery. For very high battery prices, large......The increase in fluctuating power production requires an increase in flexibility in the system as well. Flexibility can be found in generation technologies with fast response times or in storage options. In the transport sector, the proportion of electric drive vehicles is expected to increase over...... the next decade or two. These vehicles can provide some of the flexibility needed in the power system, in terms of both flexible demand and electricity storage. However, what are the batteries worth to the power system? And does the value depend on battery capacity? This article presents an analysis...
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CHOOSING DRIVING CYCLE OF HYBRID VEHICLE
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A. Vorona
2011-01-01
Full Text Available The analysis of existing driving cycles was performed. After comparing some of the cycles, one specific driving cycle was selected for the hybrid vehicle as the most reliable in representing the real moving of the vehicle in operating conditions and which may be reproduced at experimental tests at the modeling roller stand.
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Energy Technology Data Exchange (ETDEWEB)
Rugh, J.; Chaney, L.; Venson, T.; Ramroth, L.; Rose, M.
2013-04-01
The objective of the study was to assess the impact of Saflex1 S-series Solar Control PVB (polyvinyl butyral) configurations on conventional vehicle fuel economy and electric vehicle (EV) range. The approach included outdoor vehicle thermal soak testing, RadTherm cool-down analysis, and vehicle simulations. Thermal soak tests were conducted at the National Renewable Energy Laboratory's Vehicle Testing and Integration Facility in Golden, Colorado. The test results quantified interior temperature reductions and were used to generate initial conditions for the RadTherm cool-down analysis. The RadTherm model determined the potential reduction in air-conditioning (A/C) capacity, which was used to calculate the A/C load for the vehicle simulations. The vehicle simulation tool identified the potential reduction in fuel consumption or improvement in EV range between a baseline and modified configurations for the city and highway drive cycles. The thermal analysis determined a potential 4.0% reduction in A/C power for the Saflex Solar PVB solar control configuration. The reduction in A/C power improved the vehicle range of EVs and fuel economy of conventional vehicles and plug-in hybrid electric vehicles.
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Performance and driveline analyses of engine capacity in range extender engine hybrid vehicle
Praptijanto, Achmad; Santoso, Widodo Budi; Nur, Arifin; Wahono, Bambang; Putrasari, Yanuandri
2017-01-01
In this study, range extender engine designed should be able to meet the power needs of a power generator of hybrid electrical vehicle that has a minimum of 18 kW. Using this baseline model, the following range extenders will be compared between conventional SI piston engine (Baseline, BsL), engine capacity 1998 cm3, and efficiency-oriented SI piston with engine capacity 999 cm3 and 499 cm3 with 86 mm bore and stroke square gasoline engine in the performance, emission prediction of range extender engine, standard of charge by using engine and vehicle simulation software tools. In AVL Boost simulation software, range extender engine simulated from 1000 to 6000 rpm engine loads. The highest peak engine power brake reached up to 38 kW at 4500 rpm. On the other hand the highest torque achieved in 100 Nm at 3500 rpm. After that using AVL cruise simulation software, the model of range extended electric vehicle in series configuration with main components such as internal combustion engine, generator, electric motor, battery and the arthemis model rural road cycle was used to simulate the vehicle model. The simulation results show that engine with engine capacity 999 cm3 reported the economical performances of the engine and the emission and the control of engine cycle parameters.
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Sunstein, Cass R
2014-10-01
Choice can be an extraordinary benefit or an immense burden. In some contexts, people choose not to choose, or would do so if they were asked. In part because of limitations of "bandwidth," and in part because of awareness of their own lack of information and potential biases, people sometimes want other people to choose for them. For example, many people prefer not to make choices about their health or retirement plans; they want to delegate those choices to a private or public institution that they trust (and may well be willing to pay a considerable amount to those who are willing to accept such delegations). This point suggests that however well accepted, the line between active choosing and paternalism is often illusory. When private or public institutions override people's desire not to choose and insist on active choosing, they may well be behaving paternalistically, through a form of choice-requiring paternalism. Active choosing can be seen as a form of libertarian paternalism, and a frequently attractive one, if people are permitted to opt out of choosing in favor of a default (and in that sense permitted not to choose); it is a form of nonlibertarian paternalism insofar as people are required to choose. For both ordinary people and private or public institutions, the ultimate judgment in favor of active choosing, or in favor of choosing not to choose, depends largely on the costs of decisions and the costs of errors.
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Capacity Utilisation of Vehicles for Road Freight Transport
DEFF Research Database (Denmark)
Kveiborg, Ole; Abate, Megersa Abera
to their analytical approach and origin of research. Findings The first approach looks at utilisation based on economic theories such as the firms’ objective to maximise profitability and considers how various firm and haul (market) characteristics influence utilisation. The second approach stems from the transport...... modelling literature and its main aim is analysing vehicle movement and usage in transport demand modelling context. A strand of this second group of contributions is the modelling of trip-chain and its implication on the level of capacity utilisation. Research limitations The review is not a comprehensive...... by combining different strands of this literature....
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Stochastic User Equilibrium Assignment in Schedule-Based Transit Networks with Capacity Constraints
Directory of Open Access Journals (Sweden)
Wangtu Xu
2012-01-01
Full Text Available This paper proposes a stochastic user equilibrium (SUE assignment model for a schedule-based transit network with capacity constraint. We consider a situation in which passengers do not have the full knowledge about the condition of the network and select paths that minimize a generalized cost function encompassing five components: (1 ride time, which is composed of in-vehicle and waiting times, (2 overload delay, (3 fare, (4 transfer constraints, and (5 departure time difference. We split passenger demands among connections which are the space-time paths between OD pairs of the network. All transit vehicles have a fixed capacity and operate according to some preset timetables. When the capacity constraint of the transit line segment is reached, we show that the Lagrange multipliers of the mathematical programming problem are equivalent to the equilibrium passenger overload delay in the congested transit network. The proposed model can simultaneously predict how passengers choose their transit vehicles to minimize their travel costs and estimate the associated costs in a schedule-based congested transit network. A numerical example is used to illustrate the performance of the proposed model.
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International Nuclear Information System (INIS)
Peterson, Scott B.; Michalek, Jeremy J.
2013-01-01
Federal electric vehicle (EV) policies in the United States currently include vehicle purchase subsidies linked to EV battery capacity and subsidies for installing charging stations. We assess the cost-effectiveness of increased battery capacity vs. nondomestic charging infrastructure installation for plug-in hybrid electric vehicles as alternate methods to reduce gasoline consumption for cars, trucks, and SUVs in the US. We find across a wide range of scenarios that the least-cost solution is for more drivers to switch to low-capacity plug-in hybrid electric vehicles (short electric range with gasoline backup for long trips) or gasoline-powered hybrid electric vehicles. If more gasoline savings are needed per vehicle, nondomestic charging infrastructure installation is substantially more expensive than increased battery capacity per gallon saved, and both approaches have higher costs than US oil premium estimates. Cost effectiveness of all subsidies are lower under a binding fuel economy standard. Comparison of results to the structure of current federal subsidies shows that policy is not aligned with fuel savings potential, and we discuss issues and alternatives. - Highlights: ► We compare cost of PHEV batteries vs. charging infrastructure per gallon of gasoline saved. ► The lowest cost solution is to switch more drivers to low-capacity PHEVs and HEVs. ► If more gasoline savings is needed, batteries offer a better value than chargers. ► Extra batteries and chargers are both more costly per gal than oil premium estimates. ► Current subsidies are misaligned with fuel savings. We discuss alternatives.
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Optimization for routing vehicles of seafood product transportation
Soenandi, I. A.; Juan, Y.; Budi, M.
2017-12-01
Recently, increasing usage of marine products is creating new challenges for businesses of marine products in terms of transportation that used to carry the marine products like seafood to the main warehouse. This can be a problem if the carrier fleet is limited, and there are time constraints in terms of the freshness of the marine product. There are many ways to solve this problem, including the optimization of routing vehicles. In this study, this strategy is to implement in the marine product business in Indonesia with such an expected arrangement of the company to optimize routing problem in transportation with time and capacity windows. Until now, the company has not used the scientific method to manage the routing of their vehicle from warehouse to the location of marine products source. This study will solve a stochastic Vehicle Routing Problems (VRP) with time and capacity windows by using the comparison of six methods and looking the best results for the optimization, in this situation the company could choose the best method, in accordance with the existing condition. In this research, we compared the optimization with another method such as branch and bound, dynamic programming and Ant Colony Optimization (ACO). Finally, we get the best result after running ACO algorithm with existing travel time data. With ACO algorithm was able to reduce vehicle travel time by 3189.65 minutes, which is about 23% less than existing and based on consideration of the constraints of time within 2 days (including rest time for the driver) using 28 tons capacity of truck and the companies need two units of vehicles for transportation.
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Farmann, Alexander; Waag, Wladislaw; Marongiu, Andrea; Sauer, Dirk Uwe
2015-05-01
This work provides an overview of available methods and algorithms for on-board capacity estimation of lithium-ion batteries. An accurate state estimation for battery management systems in electric vehicles and hybrid electric vehicles is becoming more essential due to the increasing attention paid to safety and lifetime issues. Different approaches for the estimation of State-of-Charge, State-of-Health and State-of-Function are discussed and analyzed by many authors and researchers in the past. On-board estimation of capacity in large lithium-ion battery packs is definitely one of the most crucial challenges of battery monitoring in the aforementioned vehicles. This is mostly due to high dynamic operation and conditions far from those used in laboratory environments as well as the large variation in aging behavior of each cell in the battery pack. Accurate capacity estimation allows an accurate driving range prediction and accurate calculation of a battery's maximum energy storage capability in a vehicle. At the same time it acts as an indicator for battery State-of-Health and Remaining Useful Lifetime estimation.
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Congestion patterns of electric vehicles with limited battery capacity
2018-01-01
The path choice behavior of battery electric vehicle (BEV) drivers is influenced by the lack of public charging stations, limited battery capacity, range anxiety and long battery charging time. This paper investigates the congestion/flow pattern captured by stochastic user equilibrium (SUE) traffic assignment problem in transportation networks with BEVs, where the BEV paths are restricted by their battery capacities. The BEV energy consumption is assumed to be a linear function of path length and path travel time, which addresses both path distance limit problem and road congestion effect. A mathematical programming model is proposed for the path-based SUE traffic assignment where the path cost is the sum of the corresponding link costs and a path specific out-of-energy penalty. We then apply the convergent Lagrangian dual method to transform the original problem into a concave maximization problem and develop a customized gradient projection algorithm to solve it. A column generation procedure is incorporated to generate the path set. Finally, two numerical examples are presented to demonstrate the applicability of the proposed model and the solution algorithm. PMID:29543875
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Congestion patterns of electric vehicles with limited battery capacity.
Jing, Wentao; Ramezani, Mohsen; An, Kun; Kim, Inhi
2018-01-01
The path choice behavior of battery electric vehicle (BEV) drivers is influenced by the lack of public charging stations, limited battery capacity, range anxiety and long battery charging time. This paper investigates the congestion/flow pattern captured by stochastic user equilibrium (SUE) traffic assignment problem in transportation networks with BEVs, where the BEV paths are restricted by their battery capacities. The BEV energy consumption is assumed to be a linear function of path length and path travel time, which addresses both path distance limit problem and road congestion effect. A mathematical programming model is proposed for the path-based SUE traffic assignment where the path cost is the sum of the corresponding link costs and a path specific out-of-energy penalty. We then apply the convergent Lagrangian dual method to transform the original problem into a concave maximization problem and develop a customized gradient projection algorithm to solve it. A column generation procedure is incorporated to generate the path set. Finally, two numerical examples are presented to demonstrate the applicability of the proposed model and the solution algorithm.
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Directory of Open Access Journals (Sweden)
Jaewook Lee
2015-06-01
Full Text Available This paper presents an efficient method for estimating capacity-fade uncertainty in lithium-ion batteries (LIBs in order to integrate them into the battery-management system (BMS of electric vehicles, which requires simple and inexpensive computation for successful application. The study uses the pseudo-two-dimensional (P2D electrochemical model, which simulates the battery state by solving a system of coupled nonlinear partial differential equations (PDEs. The model parameters that are responsible for electrode degradation are identified and estimated, based on battery data obtained from the charge cycles. The Bayesian approach, with parameters estimated by probability distributions, is employed to account for uncertainties arising in the model and battery data. The Markov Chain Monte Carlo (MCMC technique is used to draw samples from the distributions. The complex computations that solve a PDE system for each sample are avoided by employing a polynomial-based metamodel. As a result, the computational cost is reduced from 5.5 h to a few seconds, enabling the integration of the method into the vehicle BMS. Using this approach, the conservative bound of capacity fade can be determined for the vehicle in service, which represents the safety margin reflecting the uncertainty.
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On the multiple depots vehicle routing problem with heterogeneous fleet capacity and velocity
Hanum, F.; Hartono, A. P.; Bakhtiar, T.
2018-03-01
This current manuscript concerns with the optimization problem arising in a route determination of products distribution. The problem is formulated in the form of multiple depots and time windowed vehicle routing problem with heterogeneous capacity and velocity of fleet. Model includes a number of constraints such as route continuity, multiple depots availability and serving time in addition to generic constraints. In dealing with the unique feature of heterogeneous velocity, we generate a number of velocity profiles along the road segments, which then converted into traveling-time tables. An illustrative example of rice distribution among villages by bureau of logistics is provided. Exact approach is utilized to determine the optimal solution in term of vehicle routes and starting time of service.
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International Nuclear Information System (INIS)
Pearre, Nathaniel S.; Swan, Lukas G.
2016-01-01
Highlights: • Examination of EV charging in a wind rich area with transmission constraints. • Multiple survey instruments to determine transportation needs, when charging occurs. • Simple charging, time-of-day scheduled, and ideal smart charging investigated. • Export power peaks reduced by 2% with TOD, 10% with smart charging 10% of fleet. • Smart charging EVs enables enough added wind capacity to power the fleet. - Abstract: Digby, Nova Scotia, is a largely rural area with a wealth of renewable energy resources, principally wind and tidal. Digby’s electrical load is serviced by an aging 69 kV transmission line that often operates at the export capacity limit because of a local wind energy converter (WEC) field. This study examines the potential of smart charging of electric vehicles (EVs) to achieve two objectives: (1) add load so as to increase export capacity; (2) charge EVs using renewable energy. Multiple survey instruments were used to determine transportation energy needs and travel timing. These were used to create EV charging load timeseries based on “convenience”, “time-of-day”, and idealized “smart” charging. These charging scenarios were evaluated in combination with high resolution data of generation at the wind field, electrical flow through the transmission system, and electricity load. With a 10% adoption rate of EVs, time-of-day charging increased local renewable energy usage by 20% and enables marginal WEC upgrading. Smart charging increases charging by local renewable energy by 73%. More significantly, it adds 3 MW of load when power exports face constraints, allowing enough additional renewable electricity generation capacity to fully power those vehicles.
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Energy Technology Data Exchange (ETDEWEB)
Scoffield, Don R [Idaho National Lab. (INL), Idaho Falls, ID (United States); Smart, John [Idaho National Lab. (INL), Idaho Falls, ID (United States); Salisbury, Shawn [Idaho National Lab. (INL), Idaho Falls, ID (United States)
2015-03-01
As market penetration of plug-in electric vehicles (PEV) increases over time, the number of PEVs charging on the electric grid will also increase. As the number of PEVs increases, their ability to collectively impact the grid increases. The idea of a large body of PEVs connected to the grid presents an intriguing possibility. If utilities can control PEV charging, it is possible that PEVs could act as a distributed resource to provide grid services. The technology required to control charging is available for modern PEVs. However, a system for wide-spread implementation of controllable charging, including robust communication between vehicles and utilities, is not currently present. Therefore, the value of controllable charging must be assessed and weighed against the cost of building and operating such as system. In order to grasp the value of PEV charge control to the utility, the following must be understood: 1. The amount of controllable energy and power capacity available to the utility 2. The variability of the controllable capacity from day to day and as the number of PEVs in the market increases.
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Transportation and Production Lot-size for Sugarcane under Uncertainty of Machine Capacity
Directory of Open Access Journals (Sweden)
Sudtachat Kanchala
2018-01-01
Full Text Available The integrated transportation and production lot size problems is important effect to total cost of operation system for sugar factories. In this research, we formulate a mathematic model that combines these two problems as two stage stochastic programming model. In the first stage, we determine the lot size of transportation problem and allocate a fixed number of vehicles to transport sugarcane to the mill factory. Moreover, we consider an uncertainty of machine (mill capacities. After machine (mill capacities realized, in the second stage we determine the production lot size and make decision to hold units of sugarcane in front of mills based on discrete random variables of machine (mill capacities. We investigate the model using a small size problem. The results show that the optimal solutions try to choose closest fields and lower holding cost per unit (at fields to transport sugarcane to mill factory. We show the results of comparison of our model and the worst case model (full capacity. The results show that our model provides better efficiency than the results of the worst case model.
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International Nuclear Information System (INIS)
Moura, Scott J.; Fathy, Hosam K.; Stein, Jeffrey L.; Callaway, Duncan S.
2010-01-01
Recent results in plug-in hybrid electric vehicle (PHEV) power management research suggest that battery energy capacity requirements may be reduced through proper power management algorithm design. Specifically, algorithms which blend fuel and electricity during the charge depletion phase using smaller batteries may perform equally to algorithms that apply electric-only operation during charge depletion using larger batteries. The implication of this result is that ''blended'' power management algorithms may reduce battery energy capacity requirements, thereby lowering the acquisition costs of PHEVs. This article seeks to quantify the tradeoffs between power management algorithm design and battery energy capacity, in a systematic and rigorous manner. Namely, we (1) construct dynamic PHEV models with scalable battery energy capacities, (2) optimize power management using stochastic control theory, and (3) develop simulation methods to statistically quantify the performance tradeoffs. The degree to which blending enables smaller battery energy capacities is evaluated as a function of both daily driving distance and energy (fuel and electricity) pricing. (author)
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A Novel Data-Driven Fast Capacity Estimation of Spent Electric Vehicle Lithium-ion Batteries
Directory of Open Access Journals (Sweden)
Caiping Zhang
2014-12-01
Full Text Available Fast capacity estimation is a key enabling technique for second-life of lithium-ion batteries due to the hard work involved in determining the capacity of a large number of used electric vehicle (EV batteries. This paper tries to make three contributions to the existing literature through a robust and advanced algorithm: (1 a three layer back propagation artificial neural network (BP ANN model is developed to estimate the battery capacity. The model employs internal resistance expressing the battery’s kinetics as the model input, which can realize fast capacity estimation; (2 an estimation error model is established to investigate the relationship between the robustness coefficient and regression coefficient. It is revealed that commonly used ANN capacity estimation algorithm is flawed in providing robustness of parameter measurement uncertainties; (3 the law of large numbers is used as the basis for a proposed robust estimation approach, which optimally balances the relationship between estimation accuracy and disturbance rejection. An optimal range of the threshold for robustness coefficient is also discussed and proposed. Experimental results demonstrate the efficacy and the robustness of the BP ANN model together with the proposed identification approach, which can provide an important basis for large scale applications of second-life of batteries.
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Dawid, Rys; Piotr, Jaskula
2018-05-01
Oversized heavy duty vehicles occur in traffic very rarely but they reach extremely high weights, even up to 800 tonne. The detrimental impact of these vehicles on pavement structure is much higher than in case of commercial vehicles that comprise typical traffic, thus it is necessary to assess the sensitivity of pavement structure to passage of oversized vehicles. The paper presents results of sample calculations of load equivalency factor of a heavy duty oversized vehicle with usage of mechanistic-empirical approach. The effects of pavement thickness, type of distress (cracking or rutting) and pavement condition (new or old with structural damage) were considered in the paper. Analysis revealed that a single pass of an 800 tonne oversized vehicle is equivalent to pass of up to 377 standard 100 kN axles. Load equivalency factor calculated for thin structures is almost 3 times lower than for thick structures, however, the damage effect caused by one pass of an oversized vehicle is higher in the case of thin structure. Bearing capacity of a pavement structure may be qualified as sufficient for passage of an oversized heavy duty vehicle when the measured deflection, for example in an FWD test, does not exceed the maximum deflections derived from mechanistic-empirical analysis. The paper presents sample calculation of maximum deflections which allow to consider passage of an oversized vehicle as safe over different pavement structures. The paper provides road administration with a practical tool which helps to decide whether to issue a permit of passage for a given oversized vehicle.
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Ratzon, Navah Z; Ari Shevil, Eynat Ben; Froom, Paul; Friedman, Sharon; Amit, Yehuda
2013-01-01
Pelvic injuries following motor vehicle accidents (MVA) cause disability and affect work capabilities. This study evaluated functional, self-report, and medical-based factors that could predict work capacity as was reflected in a functional capacity evaluation (FCE) among persons who sustained a pelvic injury. It was hypothesized that self-reported functional status and bio-demographic variables would predict work capacity. Sixty-one community-dwelling adults previously hospitalized following a MVA induced pelvic injury. FCE for work performance was conducted using the Physical Work Performance Evaluation (PWPE). Additional data was collected through a demographics questionnaire and the Functional Status Questionnaire. All participants underwent an orthopedic medical examination of the hip and lower extremities. Most participants self-reported that their work capacity post-injury were lower than their job required. PWPE scores indicated below-range functional performance. Regression models predicted 23% to 51% of PWPE subtests. Participants' self-report of functioning (instrumental activities of daily living and work) and bio-demographic variables (gender and age) were better predictors of PWPE scores than factors originating from the medical examination. Results support the inclusion of FCE, in addition to self-report of functioning and medical examination, to evaluate work capacity among individuals' post-pelvic injury and interventions and discharge planning.
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Price Based Electric Vehicle Charging
DEFF Research Database (Denmark)
Mahat, Pukar; Handl, Martin; Kanstrup, Kenneth
2012-01-01
It is expected that a lot of the new light vehicles in the future will be electrical vehicles (EV). The storage capacity of these EVs has the potential to complement renewable energy resources and mitigate its intermittency. However, EV charging may have negative impact on the power grid. This pa......It is expected that a lot of the new light vehicles in the future will be electrical vehicles (EV). The storage capacity of these EVs has the potential to complement renewable energy resources and mitigate its intermittency. However, EV charging may have negative impact on the power grid...... method where distribution system operator (DSO) optimizes the cost of EV charging while taking substation transformer capacity into account....
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International Nuclear Information System (INIS)
Chau, K.T.; Wu, K.C.; Chan, C.C.; Shen, W.X.
2003-01-01
This paper describes a new approach to estimate accurately the battery residual capacity (BRC) of the nickel-metal hydride (Ni-MH) battery for modern electric vehicles (EVs). The key to this approach is to model the Ni-MH battery in EVs by using the adaptive neuro-fuzzy inference system (ANFIS) with newly defined inputs and output. The inputs are the temperature and the discharged capacity distribution describing the discharge current profile, while the output is the state of available capacity (SOAC) representing the BRC. The estimated SOAC from ANFIS model and the measured SOAC from experiments are compared, and the results confirm that the proposed approach can provide an accurate estimation of the SOAC under variable discharge currents
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Zhai, H; Behnam, S; Villarama, C D; Arens-Corell, M; Choi, M J; Maibach, H I
2005-01-01
Supplying topical exogenous antioxidants to the skin may prevent or minimize free radical-induced damaging. This study determines antioxidative capacity of a topical skin care emulsion (an oil-in-water vitamin E-containing formulation) versus its vehicle on human skin that was exposed to ultraviolet radiation (UVR) by utilizing a photochemiluminescence device and biophysical methods. Ten healthy Caucasians (3 male and 7 female; mean age 47 +/- 10 years) were enrolled. In a randomized and double-blind manner, a pH-balanced vitamin E emulsion or its vehicle control was applied onto predesignated forearm prior to UVR exposure. Thirty minutes after application, these test sites were exposed to a UV light to induce the minimal erythema dose. One untreated site served as a blank control. Visual scoring and instrumental measurements were recorded at baseline and at 24 h and 48 h thereafter. At day 3, after completing instrumental measurements, each test site was stripped three times in a consecutive manner with a proprietary adhesive tape disc. These tapes were quantified for antioxidant capacity using a photochemiluminescence device. Vitamin E emulsion and vehicle control significantly (p emulsion showed significantly (p emulsion and its vehicle control significantly (p emulsion significantly (p emulsion and its vehicle control showed significant (p emulsion and its vehicle control proved effective in preventing induction of erythema and reducing inflammatory damage caused by UV exposure. The effect of vitamin E emulsion exceeded that of an 'active control'. Copyright 2005 S. Karger AG, Basel
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Implications of Functional Capacity Loss and Fatality for Vehicle Safety Prioritization.
McMurry, Timothy L; Sherwood, Chris; Poplin, Gerald S; Seguí-Gómez, María; Crandall, Jeff
2015-01-01
We investigate the use of the Functional Capacity Index (FCI) as a tool for establishing vehicle safety priorities by comparing the life year burden of injuries to the burden of fatality in frontal and side automotive crashes. We demonstrate FCI's utility by investigating in detail the resulting disabling injuries and their life year costs. We selected occupants in the 2000-2013 NASS-CDS database involved in frontal and side crashes, merged their injuries with FCI, and then used the merged data to estimate each occupant's overall functional loss. Lifetime functional loss was assessed by combining this measure of impairment with the occupants' expected future life spans, estimated from the Social Security Administration's Actuarial Life Table. Frontal crashes produce a large number of disabling injuries, particularly to the lower extremities. In our population, these crashes are estimated to account for approximately 400,000 life years lost to disability in comparison with 500,000 life years lost to fatality. Victims of side crashes experienced a higher rate of fatality but a significantly lower rate of disabling injury (0.3 vs. 1.0%), resulting in approximately 370,000 life years lost to fatality versus 50,000 life years lost to disability. The burden of disabling injuries to car crash survivors should be considered when setting vehicle safety design priorities. In frontal crashes this burden in life years is similar to the burden attributable to fatality.
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Directory of Open Access Journals (Sweden)
Hiroyuki Sakai
Full Text Available Although low executive functioning is a risk factor for vehicle crashes among elderly drivers, the neural basis of individual differences in this cognitive ability remains largely unknown. Here we aimed to examine regional frontal gray matter volume associated with executive functioning in normal aging individuals, using voxel-based morphometry (VBM. To this end, 39 community-dwelling elderly volunteers who drove a car on a daily basis participated in structural magnetic resonance imaging, and completed two questionnaires concerning executive functioning and risky driving tendencies in daily living. Consequently, we found that participants with low executive function capacity were prone to risky driving. Furthermore, VBM analysis revealed that lower executive function capacity was associated with smaller gray matter volume in the supplementary motor area (SMA. Thus, the current data suggest that SMA volume is a reliable predictor of individual differences in executive function capacity as a risk factor for vehicle crashes among elderly persons. The implication of our results is that regional frontal gray matter volume might underlie the variation in driving tendencies among elderly drivers. Therefore, detailed driving behavior assessments might be able to detect early neurodegenerative changes in the frontal lobe in normal aging adults.
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DEFF Research Database (Denmark)
Eggers, Patrick Claus F.; Brown, Tim; Olesen, Kim
2007-01-01
Preliminary results on the use of the vehicle to vehicle MIMO channel in a rural highway environment are presented. This is looked at both in terms of the available spatial multiplexing through singular value decomposition and also angular distribution within the channel. Results indicate a strong...... predominant line of sight link in general while instances of scattering from other vehicles will cause changes in the Doppler spectrum as well as beamforming jitter....
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Statistical analysis of vehicle loads measured with three different vehicle weighing devices
CSIR Research Space (South Africa)
Mkhize, ZQP
2005-07-01
Full Text Available MEASURED WITH THREE DIFFERENT VEHICLE WEIGHING DEVICES Z Q P MKHIZE and M DE BEER CSIR Transportek, PO Box 395, Pretoria, 0001 ABSTRACT This study introduces a new scale for weighing individual tyres of slow moving vehicles. The new technology... that vehicles exert on pavements plays a vital part in the deterioration of the structural and functional capacity of the road. It also influences the safety of the vehicles, especially when vehicles are operated under overloaded and/or inappropriately loaded...
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DEFF Research Database (Denmark)
Milan, Christian; Nielsen, Mads Pagh; Bojesen, Carsten
2014-01-01
The use of renewable energy sources (RES) has continuously increased throughout the last decade. In the residential building sector the trend goes towards energy supply systems based on multiple RES. This is mainly due to political requirements, governmental subsidies and fuel price development....... These systems not only require an optimal design with respect to the installed capacities but also the right choice in combining the available technologies assuring a cost-effective solution. e aim of this paper is to present an optimization methodology for residential on-site energy supply systems based...... on mixed integer linear programming. The methodology chooses the right combination of technologies and sizes the components based on on-site weather data and expected consumption profiles. Through this approach the fluctuations of RES as well as the user behavior are taken into account already during...
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International Nuclear Information System (INIS)
Gu, Weijun; Sun, Zechang; Wei, Xuezhe; Dai, Haifeng
2014-01-01
Highlights: • Describe the aging mechanism of lithium-ion battery with electrochemical kinetics. • Establish the fading rate equation based on Eyring Equation. • The established equation is applicable to any reaction order. • Integrate the internal kinetics with external degradation characteristics. - Abstract: Battery life prediction is one of the critical issues that restrict the development of electric vehicles. Among the typical battery life models, the mechanism model focusing on the internal physical or electrochemical processes has a stronger theoretical foundation and greater accuracy. The empirical formula, which relies on the simplified mechanism, has a concise model structure and more flexibility in vehicle applications. However, the internal aging mechanism rarely correlates with the external operating characteristics. Based on the summary of the capacity fading mechanism and the reasoning of the internal kinetics of side reactions during the aging process, a lifetime model of the lithium-ion battery is established in this paper. The solutions to the vital parameters based on the external accelerated life testing results are also presented. The testing sample is a manganese oxide lithium-ion battery of 8 Ah. The validation results indicated that the life model established in this paper can describe the capacity fading law of the lithium-ion battery and the operability and accuracy for vehicle applications
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Evaluation of railway capacity
DEFF Research Database (Denmark)
Landex, Alex; Kaas, Anders H.; Schittenhelm, Bernd
2006-01-01
capacity consumptions. This paper describes the UIC 406 method and how it is expounded in Denmark. The paper describes the importance of choosing the right length of the line sections examined and how line sections with multiple track sections are examined. Furthermore, the possibility of using idle...
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An optimal control-based algorithm for hybrid electric vehicle using preview route information
Ngo, D.V.; Hofman, T.; Steinbuch, M.; Serrarens, A.F.A.
2010-01-01
Control strategies for Hybrid Electric Vehicles (HEVs) are generally aimed at optimally choosing the power distribution between the internal combustion engine and the electric motor in order to minimize the fuel consumption and/or emissions. Using vehicle navigation systems in combination with
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Increasing Road Infrastructure Capacity Through the Use of Autonomous Vehicles
2016-12-01
considerably in recent years. In many urban areas, individuals have foregone purchasing vehicles and have instead joined car - sharing programs like...lots throughout the metropolitan area.107 Car sharing has expanded to include bike-sharing programs like Capital Bikeshare in Washington, DC.108...vehicles could also enhance ride-sharing and car - sharing services, in which a user could request a vehicle via a mobile device to drive directly to the
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Capacity Analysis Of Parking Lot And Volume Of Vehicle Toward Sustainable Parking Convenience
Herdiansyah, Herdis; Sugiyanto; Guntur Octavianto, Andrew; Guntur Aritonang, Edison; Nova Imaduddin, Malya; Dedi; Rilaningrum, Magfira
2017-10-01
The development of human's population is having effect on the increase of facilities and transportation needs. One of the primary problems is the availability of parking area. This has occurred in Universitas Indonesia (UI), mainly in Salemba Campus. The availability of land is not as equal as the number of vehicles, which are to be parked, that is why the convenience of students, lecturers and employees at UI is unsatisfactory. The purpose of this paper is to know the level of parking convenience that is affected by the capacity of parking lots and the volume of vehicles in UI Salemba Campus. The results of this research indicate Salemba campus's parking index. The motor index is still in the category of medium (index 0.945) and the car parking index has less category with a parking index 0.485. While with the location of research object being behind the UI Salemba campus, the results obtained were both the motor and the car are still in the category of “enough” with the parking index of, that is 0.657 for the motor and 0.777 for the car. So theoretically, the parking management at Salemba Campus is in an unsustainable parking degree because, if there is no long-term solution, it will increase congestion in the surrounding area and intensify the dissatisfaction of existing parking users.
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Detection of vehicle parts based on Faster R-CNN and relative position information
Zhang, Mingwen; Sang, Nong; Chen, Youbin; Gao, Changxin; Wang, Yongzhong
2018-03-01
Detection and recognition of vehicles are two essential tasks in intelligent transportation system (ITS). Currently, a prevalent method is to detect vehicle body, logo or license plate at first, and then recognize them. So the detection task is the most basic, but also the most important work. Besides the logo and license plate, some other parts, such as vehicle face, lamp, windshield and rearview mirror, are also key parts which can reflect the characteristics of vehicle and be used to improve the accuracy of recognition task. In this paper, the detection of vehicle parts is studied, and the work is novel. We choose Faster R-CNN as the basic algorithm, and take the local area of an image where vehicle body locates as input, then can get multiple bounding boxes with their own scores. If the box with maximum score is chosen as final result directly, it is often not the best one, especially for small objects. This paper presents a method which corrects original score with relative position information between two parts. Then we choose the box with maximum comprehensive score as the final result. Compared with original output strategy, the proposed method performs better.
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49 CFR 575.105 - Vehicle rollover.
2010-10-01
...) The message area must be white with black text. (C) The pictograms must be black with a white..., either: (A) The rollover warning label must be affixed to the right (as viewed from the driver's seat) of... thereafter select a different option for that vehicle. If a manufacturer chooses to certify compliance with...
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Hellinga, Laurie A; McCartt, Anne T; Haire, Emily R
2007-01-01
To examine parental decisions about vehicles driven by teenagers and parental knowledge of vehicle safety. About 300 parents were interviewed during spring 2006 in Minnesota, North Carolina, and Rhode Island while teenagers took their first on-road driving tests. Fewer than half of parents surveyed said teenagers would be the primary drivers of the chosen vehicles. Parents most often cited safety, existing family vehicle, and reliability when explaining the choices for their teenagers' vehicles. About half of the vehicles intended for teenagers were small/mini/sports cars, pickups, or SUVs - vehicles considered less safe for teenagers than midsize/large cars or minivans. A large majority of vehicles were 2001 models or earlier. Vehicles purchased in anticipation of adding a new driver to the family were more likely to be the sizes/types considered less safe than vehicles already owned. Few parents insisted on side airbags or electronic stability control, despite strong evidence of their safety benefits. Even when asked to identify ideal vehicles for their teenagers to drive, about half of parents identified less safe vehicle sizes/types. Most parents knew that midsize/large vehicles are safer than small vehicles, and at least half of parents said SUVs and pickups are not safe for teenage drivers, citing instability. The majority of parents understood some of the important criteria for choosing safe vehicles for their teenagers. However, parents actually selected many vehicles for teenagers that provide inferior crash protection. Vehicle safety varies substantially by vehicle size, type, and safety features. Many teenagers are driving inferior vehicles in terms of crashworthiness and crash avoidance.
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Directory of Open Access Journals (Sweden)
Junjie Hu
2017-02-01
Full Text Available The growing penetration of electric vehicles (EVs represents an operational challenge to system operators, mainly at the distribution level by introducing congestion and voltage drop problems. To solve these potential problems, a two-level coordination approach is proposed in this study. An aggregation entity, i.e., an EV virtual power plant (EV-VPP, is used to facilitate the interaction between the distribution system operator (DSO and EV owners considering the decentralized electricity market structure. In level I, to prevent the line congestion and voltage drop problems, the EV-VPP internally respects the line and voltage constraints when making optimal charging schedules. In level II, to avoid power transformer congestion problems, this paper investigates three different coordination mechanisms, or power transformer capacity allocation mechanisms, between the DSO and the EV-VPPs, considering the case of EVs charging and discharging. The three mechanisms include: (1 a market-based approach; (2 a pro-rata approach; and (3 a newly-proposed constrained market-based approach. A case study considering a 37-bus distribution network and high penetration of electric vehicles is presented to demonstrate the effectiveness of the proposed coordination mechanism, comparing with the existing ones.
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International Launch Vehicle Selection for Interplanetary Travel
Ferrone, Kristine; Nguyen, Lori T.
2010-01-01
In developing a mission strategy for interplanetary travel, the first step is to consider launch capabilities which provide the basis for fundamental parameters of the mission. This investigation focuses on the numerous launch vehicles of various characteristics available and in development internationally with respect to upmass, launch site, payload shroud size, fuel type, cost, and launch frequency. This presentation will describe launch vehicles available and in development worldwide, then carefully detail a selection process for choosing appropriate vehicles for interplanetary missions focusing on international collaboration, risk management, and minimization of cost. The vehicles that fit the established criteria will be discussed in detail with emphasis on the specifications and limitations related to interplanetary travel. The final menu of options will include recommendations for overall mission design and strategy.
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Al-Rawahi, Nasser; Al-Yarabi, Ali
2013-01-01
This study aims at investigating the relationship between physical education teachers' attitudes toward participation in physical activity and their motives toward choosing physical education as a teaching profession. Two questionnaires with a sample of 98 participants were employed as a data collection vehicle. The results showed that…
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Aggregation server for grid-integrated vehicles
Kempton, Willett
2015-05-26
Methods, systems, and apparatus for aggregating electric power flow between an electric grid and electric vehicles are disclosed. An apparatus for aggregating power flow may include a memory and a processor coupled to the memory to receive electric vehicle equipment (EVE) attributes from a plurality of EVEs, aggregate EVE attributes, predict total available capacity based on the EVE attributes, and dispatch at least a portion of the total available capacity to the grid. Power flow may be aggregated by receiving EVE operational parameters from each EVE, aggregating the received EVE operational parameters, predicting total available capacity based on the aggregated EVE operational parameters, and dispatching at least a portion of the total available capacity to the grid.
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Vehicle Test Facilities at Aberdeen Proving Ground
1981-07-06
warehouse and rough terrain forklifts. Two 5-ton-capacity manual chain hoists at the rear of the table regulate its slope from 0 to 40 percent. The overall...Capacity at 24-Inch Load Center. 5. TOP/ HTP 2-2-608, Braking, Wheeled Vehicles, 15 Jav.&ry 1971. 6. TOP 2-2-603, Vehicle Fuel Consumption, 1 November 1977. A-1 r -. ’,’
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Directory of Open Access Journals (Sweden)
Weiya Chen
2012-01-01
Full Text Available This paper presents an improved model for improving headway-based bus route service reliability at bus stops using real-time preventive operation control, taking into account dynamic interaction among random passenger demand, stochastic driving conditions of route segments, and vehicle load capacity constraint. In this model, the real-time information of passenger demand and vehicle operation is involved to predict the imminent unacceptable headway deviation, in the case of which some in-time preventive control strategies are deployed according to the given control rules. As a case study, a single fixed bus route with high-frequency services was simulated and different scenarios of real-time preventive operation control were performed. Headway adherence and average passenger wait time were used to measure bus service reliability. The results show that the improved model is closer to the real bus route service, and using real-time information to predict potential service unreliability and trigger in-time preventive control can reduce bus bunching and avoid big gap.
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Directory of Open Access Journals (Sweden)
Shahaboddin Shamshirband
Full Text Available Intelligent Transportation Systems rely on understanding, predicting and affecting the interactions between vehicles. The goal of this paper is to choose a small subset from the larger set so that the resulting regression model is simple, yet have good predictive ability for Vehicle agent speed relative to Vehicle intruder. The method of ANFIS (adaptive neuro fuzzy inference system was applied to the data resulting from these measurements. The ANFIS process for variable selection was implemented in order to detect the predominant variables affecting the prediction of agent speed relative to intruder. This process includes several ways to discover a subset of the total set of recorded parameters, showing good predictive capability. The ANFIS network was used to perform a variable search. Then, it was used to determine how 9 parameters (Intruder Front sensors active (boolean, Intruder Rear sensors active (boolean, Agent Front sensors active (boolean, Agent Rear sensors active (boolean, RSSI signal intensity/strength (integer, Elapsed time (in seconds, Distance between Agent and Intruder (m, Angle of Agent relative to Intruder (angle between vehicles °, Altitude difference between Agent and Intruder (m influence prediction of agent speed relative to intruder. The results indicated that distance between Vehicle agent and Vehicle intruder (m and angle of Vehicle agent relative to Vehicle Intruder (angle between vehicles ° is the most influential parameters to Vehicle agent speed relative to Vehicle intruder.
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Shamshirband, Shahaboddin; Banjanovic-Mehmedovic, Lejla; Bosankic, Ivan; Kasapovic, Suad; Abdul Wahab, Ainuddin Wahid Bin
2016-01-01
Intelligent Transportation Systems rely on understanding, predicting and affecting the interactions between vehicles. The goal of this paper is to choose a small subset from the larger set so that the resulting regression model is simple, yet have good predictive ability for Vehicle agent speed relative to Vehicle intruder. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data resulting from these measurements. The ANFIS process for variable selection was implemented in order to detect the predominant variables affecting the prediction of agent speed relative to intruder. This process includes several ways to discover a subset of the total set of recorded parameters, showing good predictive capability. The ANFIS network was used to perform a variable search. Then, it was used to determine how 9 parameters (Intruder Front sensors active (boolean), Intruder Rear sensors active (boolean), Agent Front sensors active (boolean), Agent Rear sensors active (boolean), RSSI signal intensity/strength (integer), Elapsed time (in seconds), Distance between Agent and Intruder (m), Angle of Agent relative to Intruder (angle between vehicles °), Altitude difference between Agent and Intruder (m)) influence prediction of agent speed relative to intruder. The results indicated that distance between Vehicle agent and Vehicle intruder (m) and angle of Vehicle agent relative to Vehicle Intruder (angle between vehicles °) is the most influential parameters to Vehicle agent speed relative to Vehicle intruder.
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Directory of Open Access Journals (Sweden)
Seyed Zia'
2015-03-01
Full Text Available Each society and culture, according to its condition and requirements, makes special circumscriptions, criterions and norms in choosing a spouse. In every culture one may have several alternatives of his/her own opposite sex as a spouse, but spouse choosing is never accidental. In every culture, besides the circumscriptions which is due to the personal values and desires, there are some circumscriptions which are imposed by the society. Till some decades ago, the family organization was responsible for spouse choosing in Iran, but today each person's role has become more important; although cultural and social conditions have some effect on it. Therefore, nowadays spouse choosing is analyzed as an important social action and many theories have been provided for understanding the patterns of the spouse choosing. In this study and in a theoretical level, two important theories (similar spouses and different spouses are presented as two corrival theories and then according to similarities of these theories, the indicators of the study are made. After that, by using the survey research method throughout the country and the statistical population of five thousand people, we experimentally assess the indicators of the study and these two theories of the spouse choosing. Results show the domination of the similar spouses' theory in Iran. They also show that approximately 90% of people in the external traits, 89% in the psycho-emotional traits, 93% in the personal traits, 68% in the social level characteristics and 88% in the religious beliefs, follow the patterns of the similar spouses' theory.The analytical results also conclusively show that different groups in Iran choose persons who have more similarity with them in the external, psycho-emotional and personal traits as well as the social level and religious characteristics. Although it should be noted that among men and women, the strangeness and weakness of these patterns are
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Electric vehicles in imperfect electricity markets: The case of Germany
International Nuclear Information System (INIS)
Schill, Wolf-Peter
2011-01-01
We use a game-theoretic model to analyze the impacts of a hypothetical fleet of plug-in electric vehicles on the imperfectly competitive German electricity market. Electric vehicles bring both additional demand and additional storage capacity to the market. We determine the effects on prices, welfare, and electricity generation for various cases with different players in charge of vehicle operations. Vehicle loading increases generator profits, but decreases consumer surplus in the power market. If excess vehicle batteries can be used for storage, welfare results are reversed: generating firms suffer from the price-smoothing effect of additional storage, whereas power consumers benefit despite increasing overall demand. Strategic players tend to under-utilize the storage capacity of the vehicle fleet, which may have negative welfare implications. In contrast, we find a market power-mitigating effect of electric vehicle recharging on oligopolistic generators. Overall, electric vehicles are unlikely to be a relevant source of market power in Germany in the foreseeable future. - Highlights: → We study the effect of electric vehicles on an imperfectly competitive electricity market. → We apply a game-theoretic model to the German market. → There is a market power-mitigating effect of vehicle loading on oligopolistic generating firms. → Consumers benefit from electric vehicles if excess battery capacity can be used for grid storage. → Electric vehicles are unlikely to be a source of market power in Germany in the near future.
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Developing operator capacity estimates for supervisory control of autonomous vehicles.
Cummings, M L; Guerlain, Stephanie
2007-02-01
This study examined operators' capacity to successfully reallocate highly autonomous in-flight missiles to time-sensitive targets while performing secondary tasks of varying complexity. Regardless of the level of autonomy for unmanned systems, humans will be necessarily involved in the mission planning, higher level operation, and contingency interventions, otherwise known as human supervisory control. As a result, more research is needed that addresses the impact of dynamic decision support systems that support rapid planning and replanning in time-pressured scenarios, particularly on operator workload. A dual screen simulation that allows a single operator the ability to monitor and control 8, 12, or 16 missiles through high level replanning was tested on 42 U.S. Navy personnel. The most significant finding was that when attempting to control 16 missiles, participants' performance on three separate objective performance metrics and their situation awareness were significantly degraded. These results mirror studies of air traffic control that demonstrate a similar decline in performance for controllers managing 17 aircraft as compared with those managing only 10 to 11 aircraft. Moreover, the results suggest that a 70% utilization (percentage busy time) score is a valid threshold for predicting significant performance decay and could be a generalizable metric that can aid in manning predictions. This research is relevant to human supervisory control of networked military and commercial unmanned vehicles in the air, on the ground, and on and under the water.
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Modelling of an advanced charging system for electric vehicles
Hassan Jaafar, Abdul; Rahman, Ataur; Mohiuddin, A. K. M.; Rashid, Mahbubur
2017-03-01
Climate Change is recognized as one of the greatest environmental problem facing the World today and it has long been appreciated by governments that reducing the impact of the internal combustion (IC) engine powered motor vehicle has an important part to play in addressing this threat. In Malaysia, IC engine powered motor vehicle accounts almost 90% of the national greenhouse gas (GHG) emissions. The need to reduce the emission is paramount, as Malaysia has pledged to reduce 40% of CO2 intensity by 2020 from 2005 level by 25% of improvement in average fuel consumption. The introduction of electric vehicles (EVs) is one of the initiatives. However in terms of percentage, the electric vehicles have not been commonly used by people nowadays and one of the reasons is lack in charging infrastructure especially when cars are on the road. The aim of this study is to simulate and model an advanced charging system for the charging infrastructure of EVs/HEVs all over the nation with slow charging mode with charging current 25 A, medium charging mode with charging current 50 A and fast charging mode with charging current 100 A. The slow charging mode is proposed for residence, medium charging mode for office parking lots, and fast charging mode is called fast charging track for charging station on road. With three modes charger topology, consumers could choose a suitable mode for their car based on their need. The simulation and experiment of advanced charging system has been conducted on a scale down battery pack of nominal voltage of 3.75 V and capacity of 1020 mAh. Result shows that the battery could be charging less than 1 hour with fast charging mode. However, due to limitation of Tenaga Nasional Berhad (TNB) power grid, the maximum 50 A current is considered to be the optimized passive mode for the EV’s battery charging system. The developed advanced charger prototype performance has been compared with the simulation result and conventional charger performance, the
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Series Hybrid Electric Vehicle Power System Optimization Based on Genetic Algorithm
Zhu, Tianjun; Li, Bin; Zong, Changfu; Wu, Yang
2017-09-01
Hybrid electric vehicles (HEV), compared with conventional vehicles, have complex structures and more component parameters. If variables optimization designs are carried on all these parameters, it will increase the difficulty and the convergence of algorithm program, so this paper chooses the parameters which has a major influence on the vehicle fuel consumption to make it all work at maximum efficiency. First, HEV powertrain components modelling are built. Second, taking a tandem hybrid structure as an example, genetic algorithm is used in this paper to optimize fuel consumption and emissions. Simulation results in ADVISOR verify the feasibility of the proposed genetic optimization algorithm.
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Hardness of Preemptive Finite Capacity Dial-a-Ride
DEFF Research Database (Denmark)
Gørtz, Inge Li
2006-01-01
In the Finite Capacity Dial-a-Ride problem the input is a metric space, a set of objects, each specifying a source and a destination, and an integer k---the capacity of the vehicle used for making the deliveries. The goal is to compute a shortest tour for the vehicle in which all objects can...... and Raghavachari [FOCS '98] gave a min{O(log N),O(k)}-approximation algorithm for the preemptive version of the problem. In this paper we show that the preemptive Finite Capacity Dial-a-Ride problem has no $min{O(log^{1/4-\\epsilon}N),k^{1-\\epsilon}}$-approximation algorithm for any $\\epsilon>0$ unless all problems...
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Vehicle to grid: electric vehicles as an energy storage solution
McGee, Rodney; Waite, Nicholas; Wells, Nicole; Kiamilev, Fouad E.; Kempton, Willett M.
2013-05-01
With increased focus on intermittent renewable energy sources such as wind turbines and photovoltaics, there comes a rising need for large-scale energy storage. The vehicle to grid (V2G) project seeks to meet this need using electric vehicles, whose high power capacity and existing power electronics make them a promising energy storage solution. This paper will describe a charging system designed by the V2G team that facilitates selective charging and backfeeding by electric vehicles. The system consists of a custom circuit board attached to an embedded linux computer that is installed both in the EVSE (electric vehicle supply equipment) and in the power electronics unit of the vehicle. The boards establish an in-band communication link between the EVSE and the vehicle, giving the vehicle internet connectivity and the ability to make intelligent decisions about when to charge and discharge. This is done while maintaining compliance with existing charging protocols (SAEJ1772, IEC62196) and compatibility with standard "nonintelligent" cars and chargers. Through this system, the vehicles in a test fleet have been able to successfully serve as portable temporary grid storage, which has implications for regulating the electrical grid, providing emergency power, or supplying power to forward military bases.
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Capacity analysis of vehicular communication networks
Lu, Ning
2013-01-01
This SpringerBrief focuses on the network capacity analysis of VANETs, a key topic as fundamental guidance on design and deployment of VANETs is very limited. Moreover, unique characteristics of VANETs impose distinguished challenges on such an investigation. This SpringerBrief first introduces capacity scaling laws for wireless networks and briefly reviews the prior arts in deriving the capacity of VANETs. It then studies the unicast capacity considering the socialized mobility model of VANETs. With vehicles communicating based on a two-hop relaying scheme, the unicast capacity bound is deriv
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Directory of Open Access Journals (Sweden)
W. R. Lee
1999-01-01
Full Text Available A major problem facing battery-powered electric vehicles is in their batteries: weight and charge capacity. Thus, a battery-powered electric vehicle only has a short driving range. To travel for a longer distance, the batteries are required to be recharged frequently. In this paper, we construct a model for a battery-powered electric vehicle, in which driving strategy is to be obtained such that the total travelling time between two locations is minimized. The problem is formulated as an optimization problem with switching times and speed as decision variables. This is an unconventional optimization problem. However, by using the control parametrization enhancing technique (CPET, it is shown that this unconventional optimization is equivalent to a conventional optimal parameter selection problem. Numerical examples are solved using the proposed method.
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Electric Vehicle Grid Integration | Transportation Research | NREL
Electric Vehicle Grid Integration Electric Vehicle Grid Integration Illustration of a house with a in the garage, is connected via a power cord to a household outlet. A sustainable transportation sustainable transportation technologies to increase the capacity, efficiency, and stability of the grid
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Search and Classification Using Multiple Autonomous Vehicles Decision-Making and Sensor Management
Wang, Yue
2012-01-01
Search and Classification Using Multiple Autonomous Vehicles provides a comprehensive study of decision-making strategies for domain search and object classification using multiple autonomous vehicles (MAV) under both deterministic and probabilistic frameworks. It serves as a first discussion of the problem of effective resource allocation using MAV with sensing limitations, i.e., for search and classification missions over large-scale domains, or when there are far more objects to be found and classified than there are autonomous vehicles available. Under such scenarios, search and classification compete for limited sensing resources. This is because search requires vehicle mobility while classification restricts the vehicles to the vicinity of any objects found. The authors develop decision-making strategies to choose between these competing tasks and vehicle-motion-control laws to achieve the proposed management scheme. Deterministic Lyapunov-based, probabilistic Bayesian-based, and risk-based decision-mak...
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International Nuclear Information System (INIS)
Wang, Limei; Cheng, Yong; Zhao, Xiuliang
2015-01-01
Highlights: • Find the influence of in-parallel battery cell variations on battery pack capacity. • Redefine the battery module capacity with considering ANY battery cell safety. • Discuss the safety end-of-charge voltage for an aged in-parallel battery module. • Build an algorithm for battery pack capacity estimation with the charge curve. • Bench tests are used to verify the validity of the proposed algorithm. - Abstract: In electric vehicles (EVs), several battery cells are connected in parallel to establish a battery module. The safety of the battery module is influenced by inconsistent battery cell performance which causes uneven currents flowing through internal in-parallel battery cells. A battery cell model is developed based on the Matlab–Simscape platform and validated by tests. The battery cell model is used to construct simulation models for analyzing the effect of battery cell inconsistency on the performance of an in-parallel battery module. Simulation results indicate that the state-of-charge (SOC) of a battery module cannot characterize the SOC of ALL the internal battery cells in the battery module. When the battery management system (BMS) controls the end-of-charge (EOC) time according to the SOC of a battery module, some internal battery cells are over-charged. To guarantee the safety of ALL battery cells through the whole battery life, a safety EOC voltage of the battery module should be set according to the number of battery cells in the battery module and the applied charge current. Simulations reveal that the SOC of the “normal battery module” is related to its charge voltage when aged battery module is charged to the EOC voltage. Then, a function describing their relationship is established. Both the capacity and the charge voltage shift are estimated by comparing the measured voltage-to-capacity curve with the standard one provided by the manufactory. A battery pack capacity estimation method is proposed according to the SOC
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An optimization algorithm for a capacitated vehicle routing problem ...
Indian Academy of Sciences (India)
In this paper, vehicle routing problem (VRP) with time windows and real world constraints are considered as a real-world application on google maps. Also, tabu search is used and Hopfield neural networks is utilized. Basic constraints consist of customer demands, time windows, vehicle speed, vehicle capacity andworking ...
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Capacity management of nursing staff as a vehicle for organizational improvement
Elkhuizen, Sylvia G.; Bor, Gert; Smeenk, Marjolein; Klazinga, Niek S.; Bakker, Piet J. M.
2007-01-01
Background: Capacity management systems create insight into required resources like staff and equipment. For inpatient hospital care, capacity management requires information on beds and nursing staff capacity, on a daily as well as annual basis. This paper presents a comprehensive capacity model
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Choosing to Participate: Revised Edition
Goldstein, Phyllis; Strom, Adam
2009-01-01
"Choosing to Participate" focuses on civic choices--the decisions people make about themselves and others in their community, nation, and world. The choices people make, both large and small, may not seem important at the time, but little by little they shape them as individuals and responsible global citizens. "Choosing to…
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Friederich, Simon
2017-01-01
Reasoning that takes into account self-locating evidence in apparently plausible ways sometimes yields the startling conclusion that rational credences are such as if agents had bizarre causal powers. The present paper introduces a novel version of the Sleeping Beauty problem-Choosing Beauty-for
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Vehicles' Sample Generation and Realization in Car-Following Mathematical Models
Directory of Open Access Journals (Sweden)
Algimantas Danilevičius
2016-02-01
Full Text Available The object of the article is the adjustment of car-following mathematical models according to collected traffic data. Here the problem of ineffectively burdened road section is solved by adjusting the speed of vehicles in order to reduce the distance between the cars to a safe distance. The paper analyzes the car-following models to measure the interaction between vehicles in the same lane. Experimental data processed in Matlab and traffic distribution histograms are created using the most appropriate distribution curve. Distribution curve is used to compile congestion scenario of road section. Applicable model uses fundamental diagrams, which are created from the kind of traffic flow measurements. The mathematical model allows to choose the optimal vehicle speed while maintaining safe distance between vehicles, and to make recommendations to improve the traffic as the process.
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Scheduling and location issues in transforming service fleet vehicles to electric vehicles
DEFF Research Database (Denmark)
Mirchandani, Pitu; Madsen, Oli B.G.; Adler, Jonathan
There is much reason to believe that fleets of service vehicles of many organizations will transform their vehicles that utilize alternative fuels which are more sustainable. The electric vehicle is a good candidate for this transformation, especially which “refuels” by exchanging its spent...... batteries with charged ones. This paper discusses the issues that must be addressed if a transit service were to use electric vehicles, principally the issues related to the limited driving range of each electric vehicle’s set of charged batteries and the possible detouring for battery exchanges....... In particular, the paper addresses the optimization and analysis of infrastructure design alternatives dealing with (1) the number of battery-exchange stations, (2) their locations, (3) the recharging capacity and inventory management of batteries at each facility, and (4) routing and scheduling of the fleet...
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Electric Vehicle Requirements for Operation in Smart Grids
DEFF Research Database (Denmark)
Marra, Francesco; Sacchetti, Dario; Træholt, Chresten
2011-01-01
Several European projects on smart grids are considering Electric Vehicles (EVs) as active element in future power systems. Both battery-powered vehicles and plug-in hybrid vehicles are expected to interact with the grid, sharing their energy storage capacity. Different coordination concepts...... for EVs are being investigated, in which vehicles can be intelligently charged or discharged feeding power back to the grid in vehicle-to-grid mode (V2G). To respond to such needs, EVs are required to share their battery internal data as well as respond to external control signals. In this paper...
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Choosing the right system to manage electricity derivatives
International Nuclear Information System (INIS)
Vasey, G.
1998-01-01
The alternatives available and the considerations entering into the choice of the right system to manage electricity derivatives are reviewed. The choice of system will be influenced by a variety of factors, among them : (1) business issues, (2) business processes, (3) functionality, (4) technology, (5) integration into the enterprise, and (6) internal and external competition. The system chosen will need to be integrated into the enterprise. Beyond that,it will need executive commitment, dedicated internal resources, qualified assistance from the vendor, willingness to revisit the business processes and make changes when needed, and training and more training. Some factors to take into account when choosing a system vendor are also discussed. Among these good fit to business, system performance, flexibility, reliability, and customization capacity are the most important
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Strategies for Charging Electric Vehicles in the Electricity Market
DEFF Research Database (Denmark)
Juul, Nina; Pantuso, Giovanni; Iversen, Jan Emil Banning
2015-01-01
. We show that all vehicle owners will benefit from acting more intelligently on the energy market. Furthermore, the high value of the stochastic solution shows that, in case the regulating price differs from the expected, the solution to the deterministic problem becomes infeasible.......This paper analyses different charging strategies for a fleet of electric vehicles. Along with increasing the realism of the strategies, the opportunity for acting on the regulating market is also included. We test the value of a vehicle owner that can choose when and how to charge; by presenting...... optimally in response to predicted spot prices, and – in some settings – additional gains from using the up and down regulating prices. Particularly, strategies are chosen from uncontrolled charging through deterministic optimization, to modelling the charging and bidding problem with stochastic programming...
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The influence of the placement method of fuel dispenserson the refueling cycle of vehicles
Directory of Open Access Journals (Sweden)
Levin Ruslan Yur’evich
2015-05-01
Full Text Available Logistics of production processes at a gas station is a critical point in the system of petroleum products, on the operation of which the effectiveness and sustainability of the transport sector depends. The provision and supply of road transportation of petroleum products is one of the most urgent tasks.Technological processes of reception, storage of fuel and refuelling of motor vehicles on petrol stations needs a scientific study of their structure and organization. At the design stage of a gas station, it is necessary to consider quite a lot of different factors: the configuration of the area under the gas station, the scheme of arrangement and the number of fuel dispensers, the trajectory of motion and the design of vehicles, calls to the station, distance between cars on duty, between the elements of buildings and equipment, as well as the requirements for fire, building, public, sanitary-epidemiological and state regulations. Therefore, the designer has a great opportunity for varying the parameters of the elements of the station, especially when considering the characteristics of the fueled vehicles.Typical projects at a same power station include various sizes, the seizure of land to build a station changes from planning decisions and the locations of all its technological elements. For increase of functioning efficiency of transportation systems of petroleum products in modern conditions on the basis of the design and technical innovations it is necessary to conduct special studies.Research planning decisions for a refueling station led to the conclusion that the placement of technological equipment in the refueling area has a certain impact on the length of vehicles service. Improving the layout of the refueling zone several times reduces the loss of the components of the refueling cycle time and increase the capacity of the station.Information base describing the stages of a gas station includes parts of refueling cycle time and
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The Time-Dependent Multiple-Vehicle Prize-Collecting Arc Routing Problem
DEFF Research Database (Denmark)
Black, Daniel; Eglese, Richard; Wøhlk, Sanne
2015-01-01
-life traffic situations where the travel times change with the time of day are taken into account. Two metaheuristic algorithms, one based on Variable Neighborhood Search and one based on Tabu Search, are proposed and tested for a set of benchmark problems, generated from real road networks and travel time......In this paper, we introduce a multi vehicle version of the Time-Dependent Prize-Collecting Arc Routing Problem (TD-MPARP). It is inspired by a situation where a transport manager has to choose between a number of full truck load pick-ups and deliveries to be performed by a fleet of vehicles. Real...
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Li, Bingbing; Gao, Xianfeng; Li, Jianyang; Yuan, Chris
2014-01-01
Although silicon nanowires (SiNW) have been widely studied as an ideal material for developing high-capacity lithium ion batteries (LIBs) for electric vehicles (EVs), little is known about the environmental impacts of such a new EV battery pack during its whole life cycle. This paper reports a life cycle assessment (LCA) of a high-capacity LIB pack using SiNW prepared via metal-assisted chemical etching as anode material. The LCA study is conducted based on the average U.S. driving and electricity supply conditions. Nanowastes and nanoparticle emissions from the SiNW synthesis are also characterized and reported. The LCA results show that over 50% of most characterized impacts are generated from the battery operations, while the battery anode with SiNW material contributes to around 15% of global warming potential and 10% of human toxicity potential. Overall the life cycle impacts of this new battery pack are moderately higher than those of conventional LIBs but could be actually comparable when considering the uncertainties and scale-up potential of the technology. These results are encouraging because they not only provide a solid base for sustainable development of next generation LIBs but also confirm that appropriate nanomanufacturing technologies could be used in sustainable product development.
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Motor Torque Calculations For Electric Vehicle
Directory of Open Access Journals (Sweden)
Saurabh Chauhan
2015-08-01
Full Text Available Abstract It is estimated that 25 of the total cars across the world will run on electricity by 2025. An important component that is an integral part of all electric vehicles is the motor. The amount of torque that the driving motor delivers is what plays a decisive role in determining the speed acceleration and performance of an electric vehicle. The following work aims at simplifying the calculations required to decide the capacity of the motor that should be used to drive a vehicle of particular specifications.
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The Design of an Autonomous Underwater Vehicle for Water Quality Monitoring
Li, Yulong; Liu, Rong; Liu, Shujin
2018-01-01
This paper describes the development of a civilian-used autonomous underwater vehicle (AUV) for water quality monitoring at reservoirs and watercourses that can obtain realtime visual and locational information. The mechanical design was completed with CAD software Solidworks. Four thrusters—two horizontal and two vertical—on board enable the vehicle to surge, heave, yaw, and pitch. A specialized water sample collection compartment is designed to perform water collection at target locations. The vehicle has a central controller—STM32—and a sub-coordinate controller—Arduino MEGA 2560—that coordinates multiple sensors including an inertial sensor, ultrasonic sensors, etc. Global Navigation Satellite System (GNSS) and the inertial sensor enable the vehicle’s localization. Remote operators monitor and control the vehicle via a host computer system. Operators choose either semi-autonomous mode in which they set target locations or manual mode. The experimental results show that the vehicle is able to perform well in either mode.
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Comparative Analysis of Lightweight Robotic Wheeled and Tracked Vehicle
Johnson, Christopher Patrick
2012-01-01
This study focuses on conducting a benchmarking analysis for light wheeled and tracked robotic vehicles. Vehicle mobility has long been a key aspect of research for many organizations. According to the Department of Defense vehicle mobility is defined as, "the overall capacity to move from place to place while retaining its ability to perform its primary mission"[1]. Until recently this definition has been applied exclusively to large scale wheeled and tracked vehicles. With new development l...
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Transportable Emissions Testing Laboratory for Alternative Vehicles Emissions Testing
Energy Technology Data Exchange (ETDEWEB)
Clark, Nigel
2012-01-31
The overall objective of this project was to perform research to quantify and improve the energy efficiency and the exhaust emissions reduction from advanced technology vehicles using clean, renewable and alternative fuels. Advanced vehicle and alternative fuel fleets were to be identified, and selected vehicles characterized for emissions and efficiency. Target vehicles were to include transit buses, school buses, vocational trucks, delivery trucks, and tractor-trailers. Gaseous species measured were to include carbon monoxide, carbon dioxide, oxides of nitrogen, hydrocarbons, and particulate matter. An objective was to characterize particulate matter more deeply than by mass. Accurate characterization of efficiency and emissions was to be accomplished using a state-of-the-art portable emissions measurement system and an accompanying chassis dynamometer available at West Virginia University. These two units, combined, are termed the Transportable Laboratory. An objective was to load the vehicles in a real-world fashion, using coast down data to establish rolling resistance and wind drag, and to apply the coast down data to the dynamometer control. Test schedules created from actual vehicle operation were to be employed, and a specific objective of the research was to assess the effect of choosing a test schedule which the subject vehicle either cannot follow or can substantially outperform. In addition the vehicle loading objective was to be met better with an improved flywheel system.
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Market penetration scenarios for fuel cell vehicles
Energy Technology Data Exchange (ETDEWEB)
Thomas, C.E.; James, B.D.; Lomax, F.D. Jr. [Directed Technologies, Inc., Arlington, VA (United States)
1997-12-31
Fuel cell vehicles may create the first mass market for hydrogen as an energy carrier. Directed Technologies, Inc., working with the US Department of Energy hydrogen systems analysis team, has developed a time-dependent computer market penetration model. This model estimates the number of fuel cell vehicles that would be purchased over time as a function of their cost and the cost of hydrogen relative to the costs of competing vehicles and fuels. The model then calculates the return on investment for fuel cell vehicle manufacturers and hydrogen fuel suppliers. The model also projects the benefit/cost ratio for government--the ratio of societal benefits such as reduced oil consumption, reduced urban air pollution and reduced greenhouse gas emissions to the government cost for assisting the development of hydrogen energy and fuel cell vehicle technologies. The purpose of this model is to assist industry and government in choosing the best investment strategies to achieve significant return on investment and to maximize benefit/cost ratios. The model can illustrate trends and highlight the sensitivity of market penetration to various parameters such as fuel cell efficiency, cost, weight, and hydrogen cost. It can also illustrate the potential benefits of successful R and D and early demonstration projects. Results will be shown comparing the market penetration and return on investment estimates for direct hydrogen fuel cell vehicles compared to fuel cell vehicles with onboard fuel processors including methanol steam reformers and gasoline partial oxidation systems. Other alternative fueled vehicles including natural gas hybrids, direct injection diesels and hydrogen-powered internal combustion hybrid vehicles will also be analyzed.
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Using fleets of electric-drive vehicles for grid support
International Nuclear Information System (INIS)
Tomic, Jasna; Kempton, Willett
2007-01-01
Electric-drive vehicles can provide power to the electric grid when they are parked (vehicle-to-grid power). We evaluated the economic potential of two utility-owned fleets of battery-electric vehicles to provide power for a specific electricity market, regulation, in four US regional regulation services markets. The two battery-electric fleet cases are: (a) 100 Th.nk City vehicle and (b) 252 Toyota RAV4. Important variables are: (a) the market value of regulation services, (b) the power capacity (kW) of the electrical connections and wiring, and (c) the energy capacity (kWh) of the vehicle's battery. With a few exceptions when the annual market value of regulation was low, we find that vehicle-to-grid power for regulation services is profitable across all four markets analyzed. Assuming now more than current Level 2 charging infrastructure (6.6 kW) the annual net profit for the Th.nk City fleet is from US$ 7000 to 70,000 providing regulation down only. For the RAV4 fleet the annual net profit ranges from US$ 24,000 to 260,000 providing regulation down and up. Vehicle-to-grid power could provide a significant revenue stream that would improve the economics of grid-connected electric-drive vehicles and further encourage their adoption. It would also improve the stability of the electrical grid. (author)
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Monitoring operational conditions of vehicle tyre pressure levels and ...
African Journals Online (AJOL)
Compliance with vehicle tyre inflation pressure and tread depth standard specifications and legal requirements were monitored by survey study in Kumasi Metropolis, Ghana. The survey covered 400 vehicles, comprising cars (28 %), medium buses (25 %), large capacity buses (15 %) and trucks (32 %). There were wide ...
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Adsorbed natural gas usage in vehicles; Uso veicular do gas natural adsorvido
Energy Technology Data Exchange (ETDEWEB)
Campos, Flavio Barboza; Miller, Francisco Mateus; Moura, Newton Reis de [PETROBRAS, Rio de Janeiro, RJ (Brazil)
2004-07-01
This paper presents and evaluates the actual state of development of the natural gas storage in activated carbons (ANG - adsorbed natural gas) for vehicles applications. This paper also presents the technological challenges that must be overcome to turn ANG viable for vehicles applications. The main results published in ANG, its theoretical limit and a preliminary comparison between the ANG and the GNC technologies are also presented in this work. The parameters used in that comparison were storage capacity, reservoir's weight and volume. The maximum methane storage capacity in activated carbon monoliths (theoretical limit), determined by molecular simulation, is lower than the CNG ones. Therefore, the ANG contribution to vehicles applications is not related to a higher storage capacity but to its lower working pressure, that represents an advantage by the following aspects: reduction or elimination the loss of useful space inside the vehicle; safety and price reduction of NG at fueling station. (author)
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Kiaee, Mahdi; Cruden, Andrew; Sharkh, S.M.
2015-01-01
The storage capacity of the batteries in an electric vehicle (EV) could be utilised to store electrical energy and give it back to the grid when needed by participating in vehicle to grid (V2G) schemes. This participation could be a source of revenue for vehicle owners thus reducing the total charging cost of their EVs. A V2G simulator has been developed using MATLAB to find out the potential cost saving from participation of EVs in V2G schemes. A standard IEEE30 network has been modelled in ...
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Lightweight Vehicle and Driver’s Whole-Body Models for Vibration Analysis
MdSah, Jamali; Taha, Zahari; Azwan Ismail, Khairul
2018-03-01
Vehicle vibration is a main factor for driving fatigue, discomfort and health problems. The ability to simulate the vibration characteristics in the vehicle and its effects on driver’s whole-body vibration will give significant advantages to designers especially on the vehicle development time and cost. However, it is difficult to achieve optimal condition of ride comfort and handling when using passive suspension system. This paper presents mathematical equations that can be used to describe the vibration characteristics of a lightweight electric vehicle that had been developed. The vehicle’s model was combined with the lumped-parameter model of driver to determine the whole-body vibration level when the vehicle is passing over a road hump using Matlab Simulink. The models were simulated at a constant speed and the results were compared with the experimental data. The simulated vibration level at the vehicle floor and seat were almost similar to the experimental vibration results. The suspension systems that are being used for the solar vehicle are able to reduce the vibration level due to the road hump. The models can be used to simulate and choose the optimal parameters for the suspensions.
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Modeling connected and autonomous vehicles in heterogeneous traffic flow
Ye, Lanhang; Yamamoto, Toshiyuki
2018-01-01
The objective of this study was to develop a heterogeneous traffic-flow model to study the possible impact of connected and autonomous vehicles (CAVs) on the traffic flow. Based on a recently proposed two-state safe-speed model (TSM), a two-lane cellular automaton (CA) model was developed, wherein both the CAVs and conventional vehicles were incorporated in the heterogeneous traffic flow. In particular, operation rules for CAVs are established considering the new characteristics of this emerging technology, including autonomous driving through the adaptive cruise control and inter-vehicle connection via short-range communication. Simulations were conducted under various CAV-penetration rates in the heterogeneous flow. The impact of CAVs on the road capacity was numerically investigated. The simulation results indicate that the road capacity increases with an increase in the CAV-penetration rate within the heterogeneous flow. Up to a CAV-penetration rate of 30%, the road capacity increases gradually; the effect of the difference in the CAV capability on the growth rate is insignificant. When the CAV-penetration rate exceeds 30%, the growth rate is largely decided by the capability of the CAV. The greater the capability, the higher the road-capacity growth rate. The relationship between the CAV-penetration rate and the road capacity is numerically analyzed, providing some insights into the possible impact of the CAVs on traffic systems.
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Methanol infrastructure — will it affect the introduction of SPFC vehicles?
Hart, D.; Leach, M. A.; Fouquet, R.; Pearson, P. J.; Bauen, A.
The possibility that future solid polymer fuel cell vehicles will be fuelled by methanol has been suggested. If this is the case, it will have significant implications for the future structure of the methanol supply industry, and methanol supply and availability may have an impact on the take-up of these SPFC vehicles. In this study, a model assessing the possible future penetration of methanol SPFC vehicles was constructed. This suggested that it would be possible for SPFC vehicles to achieve rapid market penetration after an initially slow start. A further model indicated that methanol supply would be adequate for vehicle demand until about 2013, when significant new capacity would be required. The cost of this new capacity was estimated, along with the cost of providing refuelling infrastructure such as road tankers, storage, and suitable fuelling stations. Amortising the cost over a short period (to 2013) could double the pre-tax price of methanol as a fuel, while over a longer timeframe (to 2029) it would add less than 10% to this value. The model suggests that methanol capacity need not be a constraint to the future introduction of SPFC vehicles using it as a fuel, but that other factors such as fuel purity and safety must be carefully considered before real costs can be calculated.
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Canadians' perceptions of electric vehicle technology : final report
Energy Technology Data Exchange (ETDEWEB)
NONE
2009-03-15
While Canadians seem to appreciate some of the possible benefits of electric vehicle technology (EVT), they generally lack knowledge or understanding of EVTs, in terms of how they operate and what types of EVT vehicles are currently available. This paper described the challenges associated with the adoption of EVT in Canada. In particular, it described a research program that was designed to assess Canadians' attitudes towards electric vehicle technology, in order to provide input into the development of a technology roadmap and its implementation plan, to provide input into communications plans and strategies to promote greater awareness and acceptance of the technology, and to establish baseline attitudinal indicators that could be tracked over time. Specifically, the objectives of the paper were to measure the Canadian public's levels of awareness, knowledge and comfort with EVTs; determine the motivators to adoption of EVT; determine the barriers to broader acceptance and market diffusion of EVT; and identify key group differences. Topics that were discussed included public awareness and knowledge of electric vehicle technology; and interest in plug-in hybrid vehicles and battery-electric vehicles, including perceived advantages and barriers. A profile of drivers consisted of a review of vehicle type; vehicle use profile; size of vehicle; considerations when choosing a vehicle; personal orientation to vehicle ownership; attitudes about vehicle choice; and attitudes about vehicles and air quality. Descriptions of the quantitative and qualitative methods employed in conducting the research, as well as the survey questionnaire and discussion guide were included as appendices. It was concluded that the small proportion of Canadian drivers who see vehicles as a form of personal expression are more likely to be interested in a future plug-in hybrid electric vehicles purchase or rental. tabs., figs., appendices.
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Harmonic Analysis of Electric Vehicle Loadings on Distribution System
Energy Technology Data Exchange (ETDEWEB)
Xu, Yijun A [University of Southern California, Department of Electrical Engineering; Xu, Yunshan [University of Southern California, Department of Electrical Engineering; Chen, Zimin [University of Southern California, Department of Electrical Engineering; Peng, Fei [University of Southern California, Department of Electrical Engineering; Beshir, Mohammed [University of Southern California, Department of Electrical Engineering
2014-12-01
With the increasing number of Electric Vehicles (EV) in this age, the power system is facing huge challenges of the high penetration rates of EVs charging stations. Therefore, a technical study of the impact of EVs charging on the distribution system is required. This paper is applied with PSCAD software and aimed to analyzing the Total Harmonic Distortion (THD) brought by Electric Vehicles charging stations in power systems. The paper starts with choosing IEEE34 node test feeder as the distribution system, building electric vehicle level two charging battery model and other four different testing scenarios: overhead transmission line and underground cable, industrial area, transformer and photovoltaic (PV) system. Then the statistic method is used to analyze different characteristics of THD in the plug-in transient, plug-out transient and steady-state charging conditions associated with these four scenarios are taken into the analysis. Finally, the factors influencing the THD in different scenarios are found. The analyzing results lead the conclusion of this paper to have constructive suggestions for both Electric Vehicle charging station construction and customers' charging habits.
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Wang, Yuqi; Yu, Yajuan; Huang, Kai; Chen, Bo; Deng, Wensheng; Yao, Ying
2017-01-01
A promising Li-rich high-capacity cathode material (xLi 2 MnO 3 ·(1-x)LiMn 0.5 Ni 0.5 O 2 ) has received much attention with regard to improving the performance of lithium-ion batteries in electric vehicles. This study presents an environmental impact evaluation of a lithium-ion battery with Li-rich materials used in an electric vehicle throughout the life cycle of the battery. A comparison between this cathode material and a Li-ion cathode material containing cobalt was compiled in this study. The battery use stage was found to play a large role in the total environmental impact and high greenhouse gas emissions. During battery production, cathode material manufacturing has the highest environmental impact due to its complex processing and variety of raw materials. Compared to the cathode with cobalt, the Li-rich material generates fewer impacts in terms of human health and ecosystem quality. Through the life cycle assessment (LCA) results and sensitivity analysis, we found that the electricity mix and energy efficiency significantly influence the environmental impacts of both battery production and battery use. This paper also provides a detailed life cycle inventory, including firsthand data on lithium-ion batteries with Li-rich cathode materials.
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Electric vehicle battery reuse: Preparing for a second life
Energy Technology Data Exchange (ETDEWEB)
Casals, Lluc Canals; García, Beatriz Amante; Cremades, Lázaro V.
2017-07-01
Purpose: On pursue of economic revenue, the second life of electric vehicle batteries is closer to reality. Common electric vehicles reach the end of life when batteries loss between a 20 or 30% of its capacity. However, battery technology is evolving fast and the next generation of electric vehicles will have between 300 and 400 km range. This study will analyze different End of Life scenarios according to battery capacity and their possible second life’s opportunities. Additionally, an analysis of the electric vehicle market will define possible locations for battery repurposing or remanufacturing plants. Design/methodology/approach: Calculating the barycenter of the electric vehicle market offers an optimal location to settle the battery repurposing plant from a logistic and environmental perspective. This paper presents several possible applications and remanufacture processes of EV batteries according to the state of health after their collection, analyzing both the direct reuse of the battery and the module dismantling strategy. Findings: The study presents that Netherlands is the best location for installing a battery repurposing plant because of its closeness to EV manufacturers and the potential European EV markets, observing a strong relation between the EV market share and the income per capita. 15% of the batteries may be send back to the an EV as a reposition battery, 60% will be prepared for stationary or high capacity installations such as grid services, residential use, Hybrid trucks or electric boats, and finally, the remaining 25% is to be dismantled into modules or cells for smaller applications, such as bicycles or assisting robots. Originality/value: Most of studies related to the EV battery reuse take for granted that they will all have an 80% of its capacity. This study analyzes and proposes a distribution of battery reception and presents different 2nd life alternatives according to their state of health.
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Electric vehicle battery reuse: Preparing for a second life
Directory of Open Access Journals (Sweden)
Lluc Canals Casals
2017-05-01
Full Text Available Purpose: On pursue of economic revenue, the second life of electric vehicle batteries is closer to reality. Common electric vehicles reach the end of life when batteries loss between a 20 or 30% of its capacity. However, battery technology is evolving fast and the next generation of electric vehicles will have between 300 and 400 km range. This study will analyze different End of Life scenarios according to battery capacity and their possible second life’s opportunities. Additionally, an analysis of the electric vehicle market will define possible locations for battery repurposing or remanufacturing plants. Design/methodology/approach: Calculating the barycenter of the electric vehicle market offers an optimal location to settle the battery repurposing plant from a logistic and environmental perspective. This paper presents several possible applications and remanufacture processes of EV batteries according to the state of health after their collection, analyzing both the direct reuse of the battery and the module dismantling strategy. Findings: The study presents that Netherlands is the best location for installing a battery repurposing plant because of its closeness to EV manufacturers and the potential European EV markets, observing a strong relation between the EV market share and the income per capita. 15% of the batteries may be send back to the an EV as a reposition battery, 60% will be prepared for stationary or high capacity installations such as grid services, residential use, Hybrid trucks or electric boats, and finally, the remaining 25% is to be dismantled into modules or cells for smaller applications, such as bicycles or assisting robots. Originality/value: Most of studies related to the EV battery reuse take for granted that they will all have an 80% of its capacity. This study analyzes and proposes a distribution of battery reception and presents different 2nd life alternatives according to their state of health.
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Electric vehicle battery reuse: Preparing for a second life
International Nuclear Information System (INIS)
Casals, Lluc Canals; García, Beatriz Amante; Cremades, Lázaro V.
2017-01-01
Purpose: On pursue of economic revenue, the second life of electric vehicle batteries is closer to reality. Common electric vehicles reach the end of life when batteries loss between a 20 or 30% of its capacity. However, battery technology is evolving fast and the next generation of electric vehicles will have between 300 and 400 km range. This study will analyze different End of Life scenarios according to battery capacity and their possible second life’s opportunities. Additionally, an analysis of the electric vehicle market will define possible locations for battery repurposing or remanufacturing plants. Design/methodology/approach: Calculating the barycenter of the electric vehicle market offers an optimal location to settle the battery repurposing plant from a logistic and environmental perspective. This paper presents several possible applications and remanufacture processes of EV batteries according to the state of health after their collection, analyzing both the direct reuse of the battery and the module dismantling strategy. Findings: The study presents that Netherlands is the best location for installing a battery repurposing plant because of its closeness to EV manufacturers and the potential European EV markets, observing a strong relation between the EV market share and the income per capita. 15% of the batteries may be send back to the an EV as a reposition battery, 60% will be prepared for stationary or high capacity installations such as grid services, residential use, Hybrid trucks or electric boats, and finally, the remaining 25% is to be dismantled into modules or cells for smaller applications, such as bicycles or assisting robots. Originality/value: Most of studies related to the EV battery reuse take for granted that they will all have an 80% of its capacity. This study analyzes and proposes a distribution of battery reception and presents different 2nd life alternatives according to their state of health.
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The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations
DEFF Research Database (Denmark)
Hiermann, Gerhard; Puchinger, Jakob; Røpke, Stefan
2016-01-01
Due to new regulations and further technological progress in the field of electric vehicles, the research community faces the new challenge of incorporating the electric energy based restrictions into vehicle routing problems. One of these restrictions is the limited battery capacity which makes...... detours to recharging stations necessary, thus requiring efficient tour planning mechanisms in order to sustain the competitiveness of electric vehicles compared to conventional vehicles. We introduce the Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations (E......-FSMFTW) to model decisions to be made with regards to fleet composition and the actual vehicle routes including the choice of recharging times and locations. The available vehicle types differ in their transport capacity, battery size and acquisition cost. Furthermore, we consider time windows at customer...
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Directory of Open Access Journals (Sweden)
Hong Chen
2013-01-01
Full Text Available Based on the decomposition of the evolution processes of the urban expressway capacity after traffic accidents and the influence factors analysis, an approach for estimating the capacity has been proposed. Firstly, the approach introduces the Decision Tree ID algorithm, solves the accident delay time of different accident types by the Information Gain Value, and determines congestion dissipation time by the Traffic Flow Wave Theory. Secondly, taking the accident delay time as the observation cycle, the maximum number of the vehicles through the accident road per unit time was considered as its capacity. Finally, the attenuation simulation of the capacity for different accident types was calculated by the VISSIM software. The simulation results suggest that capacity attenuation of vehicle anchor is minimal and the rate is 30.074%; the next is vehicles fire, rear-end, and roll-over, and the rate is 38.389%, 40.204%, and 43.130%, respectively; the capacity attenuation of vehicle collision is the largest, and the rate is 50.037%. Moreover, the further research shows that the accident delay time is proportional to congestion dissipation time, time difference, and the ratio between them, but it is an inverse relationship with the residual capacity of urban expressway.
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Choosing Wood Burning Appliances
Information to assist consumers in choosing a wood burning appliance, including types of appliances, the differences between certified and non-certified appliances, and alternative wood heating options.
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Educational Vouchers: Freedom to Choose?
Reel, Jordan; Block, Walter E.
2013-01-01
Milton Friedman is famous for his book title: “Free to Choose.” He also favors educational vouchers, which denies the freedom to choose to people who do not wish to subsidize the education of other people’s children. Thus, he is guilty of a logical contradiction. Why is it important to assess whether Friedman’s views on educational vouchers are logically consistent with his widespread reputation as an advocate of free enterprise, and, thus, freedom to chose? It is important to assess all figu...
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Type, size and age of vehicles driven by teenage drivers killed in crashes during 2008-2012.
McCartt, Anne T; Teoh, Eric R
2015-04-01
Given teenagers' elevated crash rates, it is especially important that their vehicles have key safety features and good crash protection. A profile of vehicles driven by teenagers killed in crashes was developed. Data on vehicles of drivers ages 15-17 and ages 35-50 who died in crashes during 2008-2012 were obtained from the Fatality Analysis Reporting System. Using vehicle identification numbers, the vehicle make, model and model year were identified. 29% of fatally injured teenagers were driving mini or small cars, 82% were driving vehicles at least 6 years old, and 48% were driving vehicles at least 11 years old. Compared with middle-aged drivers, teenagers' vehicles more often were small or mini cars or older vehicles. Few teenagers' vehicles had electronic stability control or side airbags as standard features. Parents should consider safety when choosing vehicles for their teenagers. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
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To Choose or Not to Choose Science
DEFF Research Database (Denmark)
Holmegaard, Henriette Tolstrup; Madsen, Lene Møller; Ulriksen, Lars
2014-01-01
In the literature, there is a general concern that a less number of students choose to study science, technology, engineering or mathematics (STEM). This paper presents results from a Danish longitudinal study which examines students’ choice of whether or not to continue studying STEM after upper......-secondary school. In particular, this study focuses on students who held an STEM subject as one of their favourite subjects at secondary educational level, but who chose not to study STEM at the tertiary level. This paper explores how students’ perceptions of STEM relate to their identity work. The data used...
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Locating Depots for Capacitated Vehicle Routing
DEFF Research Database (Denmark)
Gørtz, Inge Li; Nagarajan, Viswanath
2016-01-01
We study a location-routing problem in the context of capacitated vehicle routing. The input to the k-location capacitated vehicle routing problem (k-LocVRP) consists of a set of demand locations in a metric space and a fleet of k identical vehicles, each of capacity Q. The objective is to locate k...... depots, one for each vehicle, and compute routes for the vehicles so that all demands are satisfied and the total cost is minimized. Our main result is a constant-factor approximation algorithm for k-LocVRP. In obtaining this result, we introduce a common generalization of the k-median and minimum...... spanning tree problems (called k median forest), which might be of independent interest. We give a local-search based (3+ε)-approximation algorithm for k median forest, which leads to a (12+ε)-approximation algorithm for k-LocVRP, for any constant ε>0....
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Locating Depots for Capacitated Vehicle Routing
DEFF Research Database (Denmark)
Gørtz, Inge Li; Nagarajan, Viswanath
2016-01-01
depots, one for each vehicle, and compute routes for the vehicles so that all demands are satisfied and the total cost is minimized. Our main result is a constant-factor approximation algorithm for k-LocVRP. In obtaining this result, we introduce a common generalization of the k-median and minimum...... spanning tree problems (called k median forest), which might be of independent interest. We give a local-search based (3+ε)-approximation algorithm for k median forest, which leads to a (12+ε)-approximation algorithm for k-LocVRP, for any constant ε>0.......We study a location-routing problem in the context of capacitated vehicle routing. The input to the k-location capacitated vehicle routing problem (k-LocVRP) consists of a set of demand locations in a metric space and a fleet of k identical vehicles, each of capacity Q. The objective is to locate k...
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Using Grey Wolf Algorithm to Solve the Capacitated Vehicle Routing Problem
Korayem, L.; Khorsid, M.; Kassem, S. S.
2015-05-01
The capacitated vehicle routing problem (CVRP) is a class of the vehicle routing problems (VRPs). In CVRP a set of identical vehicles having fixed capacities are required to fulfill customers' demands for a single commodity. The main objective is to minimize the total cost or distance traveled by the vehicles while satisfying a number of constraints, such as: the capacity constraint of each vehicle, logical flow constraints, etc. One of the methods employed in solving the CVRP is the cluster-first route-second method. It is a technique based on grouping of customers into a number of clusters, where each cluster is served by one vehicle. Once clusters are formed, a route determining the best sequence to visit customers is established within each cluster. The recently bio-inspired grey wolf optimizer (GWO), introduced in 2014, has proven to be efficient in solving unconstrained, as well as, constrained optimization problems. In the current research, our main contributions are: combining GWO with the traditional K-means clustering algorithm to generate the ‘K-GWO’ algorithm, deriving a capacitated version of the K-GWO algorithm by incorporating a capacity constraint into the aforementioned algorithm, and finally, developing 2 new clustering heuristics. The resulting algorithm is used in the clustering phase of the cluster-first route-second method to solve the CVR problem. The algorithm is tested on a number of benchmark problems with encouraging results.
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A technique for choosing an option for SDH network upgrade
Directory of Open Access Journals (Sweden)
V. A. Bulanov
2014-01-01
Full Text Available Rapidly developing data transmission technologies result in making the network equipment modernization inevitable. There are various options to upgrade the SDH networks, for example, by increasing the capacity of network overloaded sites, the entire network capacity by replacement of the equipment or by creation of a parallel network, by changing the network structure with the organization of multilevel hierarchy of a network, etc. All options vary in a diversity of parameters starting with the solution cost and ending with the labor intensiveness of their realization. Thus, there are no certain standard approaches to the rules to choose an option for the network development. The article offers the technique for choosing the SHD network upgrade based on method of expert evaluations using as a tool the software complex that allows us to have quickly the quantitative characteristics of proposed network option. The technique is as follows:1. Forming a perspective matrix of services inclination to the SDH networks.2. Developing the several possible options for a network modernization.3. Formation of the list of criteria and a definition of indicators to characterize them by two groups, namely costs of the option implementation and arising losses; positive effect from the option introduction.4. Criteria weight coefficients purpose.5. Indicators value assessment within each criterion for each option by each expert. Rationing of the obtained values of indicators in relation to the maximum value of an indicator among all options.6. Calculating the integrated indicators of for each option by criteria groups.7. Creating a set of Pareto by drawing two criteria groups of points, which correspond to all options in the system of coordinates on the plane. Option choice.In implementation of point 2 the indicators derivation owing to software complex plays a key role. This complex should produce a structure of the network equipment, types of multiplexer sections
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WHY WOULD YOUNG STUDENTS CHOOSE ENTREPRENEURSHIP?
Directory of Open Access Journals (Sweden)
Muntean Andreea
2012-12-01
Full Text Available The entrepreneurship is widely considered as a solution for economic problems. The number of young people who start a new business is in increasing. The students’ motivation for choosing entrepreneurship is the research purpose of this paper. A survey developed in Alba Iulia, on a number of 100 students’ points out the relevant motivation why young people choose entrepreneurial alternative. The results showed that most of the actual students would choose to be entrepreneurs because they want to improve their life standards, to explore new business opportunities and to have a social status. In conclusion, the teachers, the governmental authorities and all the others interested in stimulating the entrepreneurial motivation should their words and actions affect potential entrepreneurs’ perceptions of entrepreneurial feasibility and net desirability.
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Capacity competition in electricity markets
International Nuclear Information System (INIS)
Crampes, Claude; Creti, Anna
2005-01-01
The article analyzed a two-stage game where capacity constrained electricity generators first choose how much capacity they make available and then compete in a uniform-rice auction. It is studied how capacity withholding can be used strategically to enforce market power and how uniform auctions in the price game change the results of capacity constrained competition models. The uniform auction procedure gives strong incentives to capacity restriction. At equilibrium, however, power shortage never occurs. Though auctions in electricity markets have already been studied by several economists, yet an important feature of spot trading is the capacity availability decision. In fact, for technical reasons, such as equipment maintenance or failures, the installed capacity may not work at maximum operating level and the spot market rules oblige generators to announce which plants they are willing to use and simultaneously their offer prices. Beside technical reasons, the so-called 'capacity declarations' also offer a strategic instrument for firms: by restricting capacity, operators can benefit from scarcity rents. Assessing whether generators withhold capacity is an intriguing issue for real electricity markets, though proving it is a difficult task. Several theoretical papers show that generators are able to keep wholesale prices high as compared to their generation costs. In our model, a generator is not obliged to declare all installed capacity as available, but decides on the amount of MW of electricity that is available. Hence the available capacity is an endogenous variable while the installed one is exogenous. The distinction between installed capacities and 'available' capacities allows to explain clearly whether generators exert market power by declaring unavailable some production units. Although we find multiple sub game perfect equilibria that cannot be eliminated by Pareto-dominance, all the outcomes are characterized by market price at the highest
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Harnessing Big-Data for Estimating the Energy Consumption and Driving Range of Electric Vehicles
DEFF Research Database (Denmark)
Fetene, Gebeyehu Manie; Prato, Carlo Giacomo; Kaplan, Sigal
-effects econometrics model used in this paper predicts that the energy saving speed of driving is between 45 and 56 km/h. In addition to the contribution to the literature about energy efficiency of electric vehicles, the findings from this study enlightens consumers to choose appropriate cars that suit their travel......This study analyses the driving range and investigates the factors affecting the energy consumption rate of fully-battery electric vehicles under real-world driving patterns accounting for weather condition, drivers’ characteristics, and road characteristics. Four data sources are used: (i) up...
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PASSIVE DETECTION OF VEHICLE LOADING
Energy Technology Data Exchange (ETDEWEB)
Garrett, A.
2012-01-03
The Digital Imaging and Remote Sensing Laboratory (DIRS) at the Rochester Institute of Technology, along with the Savannah River National Laboratory is investigating passive methods to quantify vehicle loading. The research described in this paper investigates multiple vehicle indicators including brake temperature, tire temperature, engine temperature, acceleration and deceleration rates, engine acoustics, suspension response, tire deformation and vibrational response. Our investigation into these variables includes building and implementing a sensing system for data collection as well as multiple full-scale vehicle tests. The sensing system includes; infrared video cameras, triaxial accelerometers, microphones, video cameras and thermocouples. The full scale testing includes both a medium size dump truck and a tractor-trailer truck on closed courses with loads spanning the full range of the vehicle's capacity. Statistical analysis of the collected data is used to determine the effectiveness of each of the indicators for characterizing the weight of a vehicle. The final sensing system will monitor multiple load indicators and combine the results to achieve a more accurate measurement than any of the indicators could provide alone.
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Passive detection of vehicle loading
McKay, Troy R.; Salvaggio, Carl; Faulring, Jason W.; Salvaggio, Philip S.; McKeown, Donald M.; Garrett, Alfred J.; Coleman, David H.; Koffman, Larry D.
2012-01-01
The Digital Imaging and Remote Sensing Laboratory (DIRS) at the Rochester Institute of Technology, along with the Savannah River National Laboratory is investigating passive methods to quantify vehicle loading. The research described in this paper investigates multiple vehicle indicators including brake temperature, tire temperature, engine temperature, acceleration and deceleration rates, engine acoustics, suspension response, tire deformation and vibrational response. Our investigation into these variables includes building and implementing a sensing system for data collection as well as multiple full-scale vehicle tests. The sensing system includes; infrared video cameras, triaxial accelerometers, microphones, video cameras and thermocouples. The full scale testing includes both a medium size dump truck and a tractor-trailer truck on closed courses with loads spanning the full range of the vehicle's capacity. Statistical analysis of the collected data is used to determine the effectiveness of each of the indicators for characterizing the weight of a vehicle. The final sensing system will monitor multiple load indicators and combine the results to achieve a more accurate measurement than any of the indicators could provide alone.
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Substantiation of the road toll for heavy transport vehicles
Burmaka, N.; Chernykh, A.
2010-01-01
The existing and possible additional sources of developing state and local road funds of Ukraine have been considered. The formula for calculating monthly road toll for heavy transport vehicles has been proposed. This formula includes the payment rate per every kilometer of distance, the vehicle capacity utilization factor and the run with the load. The payment rate per every kilometer of distance for transport vehicles depending on the allowed total weight has been substantiated. The given r...
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Will Automated Vehicles Negatively Impact Traffic Flow?
Directory of Open Access Journals (Sweden)
S. C. Calvert
2017-01-01
Full Text Available With low-level vehicle automation already available, there is a necessity to estimate its effects on traffic flow, especially if these could be negative. A long gradual transition will occur from manual driving to automated driving, in which many yet unknown traffic flow dynamics will be present. These effects have the potential to increasingly aid or cripple current road networks. In this contribution, we investigate these effects using an empirically calibrated and validated simulation experiment, backed up with findings from literature. We found that low-level automated vehicles in mixed traffic will initially have a small negative effect on traffic flow and road capacities. The experiment further showed that any improvement in traffic flow will only be seen at penetration rates above 70%. Also, the capacity drop appeared to be slightly higher with the presence of low-level automated vehicles. The experiment further investigated the effect of bottleneck severity and truck shares on traffic flow. Improvements to current traffic models are recommended and should include a greater detail and understanding of driver-vehicle interaction, both in conventional and in mixed traffic flow. Further research into behavioural shifts in driving is also recommended due to limited data and knowledge of these dynamics.
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Utilising excess minibus-taxi capacity for South African townships tours
Rietjens, S.J.H.; Makoriwa, Collins; de Boer, S.J.
2006-01-01
This paper proposes an option for the utilisation of excess off-peak capacity of minibus-taxis in South Africa for township tours. The minibus-taxi system typically faces steep peak loads during rush hours with excess vehicle and person capacity available during off-hours. The advantages of the
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A heterogeneous fleet vehicle routing model for solving the LPG distribution problem: A case study
International Nuclear Information System (INIS)
Onut, S; Kamber, M R; Altay, G
2014-01-01
Vehicle Routing Problem (VRP) is an important management problem in the field of distribution and logistics. In VRPs, routes from a distribution point to geographically distributed points are designed with minimum cost and considering customer demands. All points should be visited only once and by one vehicle in one route. Total demand in one route should not exceed the capacity of the vehicle that assigned to that route. VRPs are varied due to real life constraints related to vehicle types, number of depots, transportation conditions and time periods, etc. Heterogeneous fleet vehicle routing problem is a kind of VRP that vehicles have different capacity and costs. There are two types of vehicles in our problem. In this study, it is used the real world data and obtained from a company that operates in LPG sector in Turkey. An optimization model is established for planning daily routes and assigned vehicles. The model is solved by GAMS and optimal solution is found in a reasonable time
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A heterogeneous fleet vehicle routing model for solving the LPG distribution problem: A case study
Onut, S.; Kamber, M. R.; Altay, G.
2014-03-01
Vehicle Routing Problem (VRP) is an important management problem in the field of distribution and logistics. In VRPs, routes from a distribution point to geographically distributed points are designed with minimum cost and considering customer demands. All points should be visited only once and by one vehicle in one route. Total demand in one route should not exceed the capacity of the vehicle that assigned to that route. VRPs are varied due to real life constraints related to vehicle types, number of depots, transportation conditions and time periods, etc. Heterogeneous fleet vehicle routing problem is a kind of VRP that vehicles have different capacity and costs. There are two types of vehicles in our problem. In this study, it is used the real world data and obtained from a company that operates in LPG sector in Turkey. An optimization model is established for planning daily routes and assigned vehicles. The model is solved by GAMS and optimal solution is found in a reasonable time.
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Modeling an impact of road geometric design on vehicle energy consumption
Luin, Blaž; Petelin, Stojan; Al-Mansour, Fouad
2017-11-01
Some roads connect traffic origins and destinations directly, some use winding, indirect routes. Indirect connections result in longer distances driven and increased fuel consumption. A similar effect is observed on congested roads and mountain roads with many changes in altitude. Therefore a framework to assess road networks based on energy consumption is proposed. It has been shown that road geometry has significant impact on overall traffic energy consumption and emissions. The methodology presented in the paper analyzes impact of traffic volume, shares of vehicle classes, road network configuration on the energy used by the vehicles. It can be used to optimize energy consumption with efficient traffic management and to choose optimum new road in the design phase. This is especially important as the energy consumed by the vehicles shortly after construction supersedes the energy spent for the road construction.
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Practical use of the UIC 406 capacity leaflet by including timetable tools in the investigations
DEFF Research Database (Denmark)
Landex, Alex; Kaas, Anders H.; Schittenhelm, Bernd
2006-01-01
This paper describes the relatively new UIC 406 method for calculating capacity consumption on railway lines. The UIC 406 method is an easy and effective way of calculating the capacity consumption, but it is possible to expound the UIC 406 method in different ways which can lead to different...... capacity consumptions. This paper describes how the UIC 406 method is expounded in Denmark. The paper describes the importance of choosing the right length of the line sections examined and how line sections with multiple track sections are examined. Furthermore, the possibility of using idle capacity...
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CALCULATION OF INITIALS OPTIMAL PRODUCTION CAPACITIES CONSIDERING UNCERTAINTY ELEMENTS
Directory of Open Access Journals (Sweden)
Hilda Oquendo Ferrer
2016-04-01
Full Text Available In diversification, an attractive variant constitutes the projection of ethanol plants due to all the advantages that this represents and a crucial element for this to be effective is the existence of cane as a fundamental raw material for the sugar industry and therefore the derived productions. To project the initials optimal capacity of the plant, uncertainty in the raw material was considered. Mathematical models of capacity in time are obtained, choosing those that best fit, being the linear the simplest for future calculations. The initial capacity the plant should have is determined, also the time at which the first extension and the capacity of the plant should be done, which allows, considering other criteria, to make decisions about what should be the capacity of an ethanol plant in response to the current and future availability of sugar cane. It is presented a general method that can be used considering other tax sugar companies in a province or a region.
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Capacity Development for Sustainable Urban Transportation in Developing Countries
Senbil, Metin; Fujiwara, Akimasa; Zhang, Junyi
2008-01-01
To make urban transport sustainable, effective and efficient, first and foremost, there is a need for capacity development-capacity is defined as the ability to deal with problems in efficient and effective ways-in developing countries. Apart from many important capacity related problems such as lack of adequate infrastructure, older vehicle population, etc., policy makers in developing countries have to consider changing individual behavior to realize sustainable urban transportation policie...
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International Nuclear Information System (INIS)
Loisel, Rodica; Pasaoglu, Guzay; Thiel, Christian
2014-01-01
This study analyses battery electric vehicles (BEVs) in the future German power system and makes projections of the BEVs hourly load profile by car size (‘mini’, ‘small’, ‘compact’ and ‘large’). By means of a power plant dispatching optimisation model, the study assesses the optimal BEV charging/discharging strategies in grid-to-vehicle (G2V) and vehicle-to-grid (V2G) schemes. The results show that the 2% rise in power demand required to power these BEVs does not hamper system stability provided an optimal G2V scheme is applied. Moreover, such BEV deployment can contribute to further integrating wind and solar power generation. Applying a V2G scheme would increase the capacity factors of base and mid-load power plants, leading to a higher integration of intermittent renewables and resulting in a decrease in system costs. However, the evaluation of the profitability of BEVs shows that applying a V2G scheme is not a viable economic option due to the high cost of investing in batteries. Some BEV owners would make modest profits (€6 a year), but a higher number would sustain losses, for reasons of scale. For BEVs to become part of the power system, further incentives are necessary to make the business model attractive to car owners. - Highlights: • Optimal strategies for charging/discharging battery electric vehicles are assessed. • G2V scheme improves the stability of the future German power system. • V2G scheme would increase the capacity factors of base and mid-load power plants. • V2G scheme is not a viable economic option due to high batteries investment cost. • Further incentives are necessary to make the business model attractive to car owners
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Evaluation of connected vehicle impact on mobility and mode choice
Directory of Open Access Journals (Sweden)
Simon Minelli
2015-10-01
Full Text Available Connected vehicle is emerging as a solution to exacerbating congestion problems in urban areas. It is important to understand the impacts of connected vehicle on network and travel behavior of road users. The main objective of this paper is to evaluate the impact of connected vehicle on the mode choice and mobility of transportation networks. An iterative methodology was used in this paper where demands for various modes were modified based on the changes in travel time between each origin-destination (OD pair caused by introduction of connected vehicle. Then a traffic assignment was performed in a micro-simulation model, which was able to accurately simulate vehicle-to-vehicle communication. It is assumed that vehicles are equipped with a dynamic route guidance technology to choose their own route using real-time traffic information obtained through communication. The travel times obtained from the micro-simulation model were compared with a base scenario with no connected vehicle. The methodology was tested for a portion of Downtown Toronto, Ontario, Canada. In order to quantify changes in mode share with changes in travel time associated with each OD pair, mode choice models were developed for auto, transit, cycling and pedestrians using data mainly from the Transportation Tomorrow Survey. The impact of connected vehicle on mode choice was evaluated for different market penetrations of connected vehicle. The results of this study show that average travel times for the whole auto mode will generally increase, with the largest increase from connected vehicles. This causes an overall move away from the auto mode for high market penetrations if a dynamic route guidance algorithm is implemented.
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Impacts of Electric Vehicle Loads on Power Distribution Systems
DEFF Research Database (Denmark)
Pillai, Jayakrishnan Radhakrishna; Bak-Jensen, Birgitte
2010-01-01
operation. This paper investigates the effects on the key power distribution system parameters like voltages, line drops, system losses etc. by integrating electric vehicles in the range of 0-50% of the cars with different charging capacities. The dump as well as smart charging modes of electric vehicles......Electric vehicles (EVs) are the most promising alternative to replace a significant amount of gasoline vehicles to provide cleaner, CO2 free and climate friendly transportation. On integrating more electric vehicles, the electric utilities must analyse the related impacts on the electricity system...... is applied in this analysis. A typical Danish primary power distribution system is used as a test case for the studies. From the simulation results, not more than 10% of electric vehicles could be integrated in the test system for the dump charging mode. About 40% of electric vehicle loads could...
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International Nuclear Information System (INIS)
Tarroja, Brian; Zhang, Li; Wifvat, Van; Shaffer, Brendan; Samuelsen, Scott
2016-01-01
A study has been performed to understand the quantitative impact of key differences between vehicle-to-grid and stationary energy storage systems on renewable utilization, greenhouse gas emissions, and balancing fleet operation, using California as the example. To simulate the combined electricity and light-duty transportation system, a detailed electric grid dispatch model (including stationary energy storage systems) was combined with an electric vehicle charging dispatch model that incorporates conventional smart and vehicle-to-grid capabilities. By subjecting smaller amounts of renewable energy to round-trip efficiency losses and thereby increasing the efficiency of renewable utilization, it was found that vehicle-to-grid energy storage can achieve higher renewable utilization levels and reduced greenhouse gas emissions compared to stationary energy storage systems. Vehicle-to-grid energy storage, however, is not as capable of balancing the power plant fleet compared to stationary energy storage systems due to the constraints of consumer travel patterns. The potential benefits of vehicle-to-grid are strongly dependent on the availability of charging infrastructure at both home and workplaces, with potential benefits being compromised with residential charging availability only. Overall, vehicle-to-grid energy storage can provide benefits over stationary energy storage depending on the system attribute selected for improvement, a finding amenable to managing through policy. - Highlights: • Using vehicle-to-grid-based storage increases the efficiency of renewable energy utilization. • Vehicle-to-grid-based energy storage has less overall flexibility compared to stationary energy storage. • The discharge ability of vehicle-to-grid-based provides a significant benefit over one-way smart charging. • Both workplace and home charging are critical for providing vehicle-to-grid-related benefits. • Increasing charging intelligence reduces stationary energy
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When Feedback Is Cognitively-Demanding: The Importance of Working Memory Capacity
Fyfe, Emily R.; DeCaro, Marci S.; Rittle-Johnson, Bethany
2015-01-01
Feedback is generally considered a beneficial learning tool, and providing feedback is a recommended instructional practice. However, there are a variety of feedback types with little guidance on how to choose the most effective one. We examined individual differences in working memory capacity as a potential moderator of feedback type. Second-…
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Measuring the Capacity and Transaction Time of Cash and Electronic Toll Collection Systems
Directory of Open Access Journals (Sweden)
Rudy Hermawan Karsaman
2014-07-01
Full Text Available A long queue can occur at tollgates due to the amount of transaction time required to perform ticket payment and toll fee collection. This problem can be addressed by the use of an electronic toll collection (ETC system. A case study conducted on the Jakarta Intra Urban, Cikupa-Merak, and Cawang Pluit Toll Roads suggests that the queueing at the tollgates when modelled followed a Poisson distribution. The average cash transaction time was approximately 5 to 6 seconds, while the ETC transaction time was only 4 seconds. Furthermore, the capacity of the cash system gate was 550 to 620 vehicles/hour (which is above the minimum service standard of 450 vehicles/hour,whereas the electronic gate capacity was 770 to 870 vehicles/hour. This study demonstrates that the ETC system is more effective than the cash system in terms of reducing the number of queueing vehicles.
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USING OF NON-CONVENTIONAL FUELS IN HYBRID VEHICLE DRIVES
Directory of Open Access Journals (Sweden)
Dalibor Barta
2016-12-01
Full Text Available Electric or hybrid vehicles are becoming increasingly common on roads. While electric vehicles are still more or less intended for city traffic, hybrid vehicles allow normal use due to wider driving range. The use of internal combustion engines in hybrid drives is still an inspiration to find the way to reduce the produc-tion of emissions. Numbers of alternative energy resources were studied as a substitution of conventional fuels for hybrid vehicles drives worldwide. The paper deals with the possibility of using alternative fuels as CNG, LPG and LNG in combination with hybrid drive of a midibus with the capacity of 20 passengers. Various aspects and techniques of hybrid vehicles from energy management system, propulsion system and using of various alternative fuels are explored in this paper. Other related fields of hybrid vehicles such as changes of vehicle weight or influence of electric energy sources on the total vehicle emission production are also included.
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Energy management for vehicle power net with flexible electric load demand
Kessels, J.T.B.A.; Bosch, van den P.P.J.; Koot, M.W.T.; Jager, de A.G.
2005-01-01
The electric power demand in road vehicles increases rapidly and to supply all electric loads efficiently, energy management (EM) turns out to be a necessity. In general, EM exploits the storage capacity of a buffer connected to the vehicle's power net, such that energy is stored or retrieved at
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Digging up Classroom Dollars on DonorsChoose
Curriculum Review, 2006
2006-01-01
Back in 2000, Charles Best was teaching at Wings Academy, an alternative high school in the Bronx, when he got the idea for a Web site where teachers could solicit donations for class projects. With help from his students, DonorsChoose.org soon was born. Last year, the site won Amazon.com's Nonprofit Innovation Award. So far, DonorsChoose has…
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Energy Technology Data Exchange (ETDEWEB)
Schlegel, S.; Westermann, D. [Technische Univ. Ilmenau (Germany). FG EEV; Agsten, M. [Fraunhofer IOSB, Ilmenau (Germany). Institutsteil Angewandte Systemtechnik (AST)
2012-07-01
Future power systems have to meet the challenge of uncontrollable, decentralized generation through increasing renewable. Utilize energy storage to harmonize the load with fluctuating generation is an option. On the other hand in today's markets large scale energy storage systems are hard to find. The reason is assumed in the high costs. Electric vehicle utilization with smart charging could be an alternative solution, due to the secondary use of the electric vehicles battery when not used for driving. This paper will describe the electric vehicle storage capability which determinants influence the storage potential Therefore a model based approach will be provided, which is based on the experiences of a field test (''MINI-E-Berlin powered by Vattenfall''). (orig.)
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Energy Technology Data Exchange (ETDEWEB)
NONE
2000-02-07
This document, issued by the French Ministry of Economy, Finances and Industry, presents national measures fostering alternative vehicles, i.e., electric, natural gas and liquefied oil gas vehicles. Financial supports for studies aiming at optimizing the fleet and choosing the alternative vehicles as well as for purchasing vehicles both by counter procedure and for demonstration programmes are provided. Amount of subsidies, conditions of obtaining and categories of addressees are indicated. The document contains also two relating studies. The first one is titled 'the policy of developing alternative vehicles'. The following four items are addressed: - the present frame favouring the alternative vehicles; - the electric vehicles; - natural gas fuelled vehicles (GNV); - liquefied oil gas fuelled vehicles (GPLc). Although non-polluting the electric vehicles are not tempting because of their rather limited range (80 Km at a battery charging). So far only around 3,000 vehicles were sold. Fifty GNV buses were ordered by RATP and the figure raised at 70 in 1998 and 1999. The GPLc fleet amounts up to 70,000 vehicles and by the end of 2000 it is foreseen to reach the level of 300,000 vehicles. The second study addresses to the issue of natural gas for vehicles. It presents: - its advantages; - its peculiarities; - the action of public authorities; -the current state and trends of GNV vehicles. In a joint effort public authorities and partners of this option are aiming at a fleet of 2500 light service vehicles and 300 bus for urban transport by the end of 1999.
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Adoption barriers for electric vehicles: Experiences from early adopters in Sweden
International Nuclear Information System (INIS)
Vassileva, Iana; Campillo, Javier
2017-01-01
Electric vehicles are considered as one of the most effective technologies for reducing current greenhouse gas emissions from the transport sector. Although in many countries, local and national governments have introduced incentives and subsidies to facilitate the electric vehicle market penetration, in Sweden, such benefits have been limited. Results from a survey carried out among private owners of electric vehicles are presented in this paper, including the analysis of the respondents socio-demographic characteristics, reasons for choosing an electric vehicle, charging locations and driving preferences, among others. The main results characterize current electric vehicle drivers as male, well-educated, with medium-high income; electric vehicles are used mainly for private purposes and charged at home during night time. Furthermore, the paper presents an analysis of the impact of large-scale penetration of electric vehicles on existing power distribution systems. The findings presented in this paper provide important insights for assuring a sustainable large-scale penetration of electric vehicles by learning from the experiences of early adopters of the technology and by analyzing the impact of different EV penetration scenarios on the power distribution grid. - Highlights: • A survey was conducted on EV owners' experience and characteristics. • Impact on the power system of large-scale EV adoption was analyzed. • Feedback from EV owners should be used to engage potential users. • Coordinated smart charging is needed to reduce power grid impact. • Coordinated smart charging is required to minimize disturbances on the power grid.
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Reliable CPS design for mitigating semiconductor and battery aging in electric vehicles
Chang, W.; Proebstl, A.; Goswami, D.; Zamani, M.; Chakraborty, S.
2015-01-01
Reliability and performance of cyber-physical systems (CPS) in electric vehicles (EVs) are influenced by three design aspects: (i) controller design, (ii) battery usage, i.e., Battery rate capacity and aging effects, (iii) processor aging of the in-vehicle embedded platform. In this paper, we
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Hearing Aids: How to Choose the Right One
Hearing aids: How to choose the right one Many types of hearing aids exist. So which is best for you? Find out what to consider when choosing a hearing ... used to the device and decide if it's right for you. Have the dispenser put in writing ...
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Locating Depots for Capacitated Vehicle Routing
DEFF Research Database (Denmark)
Gørtz, Inge Li; Nagarajan, Viswanath
2011-01-01
that all demands are satisfied and the total cost is minimized. Our main result is a constant-factor approximation algorithm for k-LocVRP. To achieve this result, we reduce k-LocVRP to the following generalization of k median, which might be of independent interest. Given a metric (V, d), bound k...... median forest, which leads to a (12+E)-approximation algorithm for k-LocVRP, for any constant E > 0. The algorithm for k median forest is t-swap local search, and we prove that it has locality gap 3 + 2 t ; this generalizes the corresponding result for k median [3]. Finally we consider the k median......We study a location-routing problem in the context of capacitated vehicle routing. The input to k-LocVRP is a set of demand locations in a metric space and a fleet of k vehicles each of capacity Q. The objective is to locate k depots, one for each vehicle, and compute routes for the vehicles so...
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Simple cellular automaton model for traffic breakdown, highway capacity, and synchronized flow
Kerner, Boris S.; Klenov, Sergey L.; Schreckenberg, Michael
2011-10-01
We present a simple cellular automaton (CA) model for two-lane roads explaining the physics of traffic breakdown, highway capacity, and synchronized flow. The model consists of the rules “acceleration,” “deceleration,” “randomization,” and “motion” of the Nagel-Schreckenberg CA model as well as “overacceleration through lane changing to the faster lane,” “comparison of vehicle gap with the synchronization gap,” and “speed adaptation within the synchronization gap” of Kerner's three-phase traffic theory. We show that these few rules of the CA model can appropriately simulate fundamental empirical features of traffic breakdown and highway capacity found in traffic data measured over years in different countries, like characteristics of synchronized flow, the existence of the spontaneous and induced breakdowns at the same bottleneck, and associated probabilistic features of traffic breakdown and highway capacity. Single-vehicle data derived in model simulations show that synchronized flow first occurs and then self-maintains due to a spatiotemporal competition between speed adaptation to a slower speed of the preceding vehicle and passing of this slower vehicle. We find that the application of simple dependences of randomization probability and synchronization gap on driving situation allows us to explain the physics of moving synchronized flow patterns and the pinch effect in synchronized flow as observed in real traffic data.
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Using Fuel Cells to Increase the Range of Battery Electric Vehicles | News
| NREL Using Fuel Cells to Increase the Range of Battery Electric Vehicles Using Fuel Cells to significantly lower capital and lifecycle costs than additional battery capacity alone. And while fuel-cell -Duty Battery Electric Vehicles through the Use of Hydrogen Fuel Cells"-presented at the Society of
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Energy management for the electric powernet in vehicles with a conventional drivetrain
Kessels, J.T.B.A.; Koot, M.W.T.; Jager, de A.G.; Bosch, van den P.P.J.; Aneke, N.P.I.; Kok, D.B.
2007-01-01
The electric power demand in road vehicles increases rapidly. Energy management (EM) turns out to be a viable solution for supplying all electric loads efficiently. The EM strategies developed in this paper focus on vehicles with a conventional drivetrain. By exploiting the storage capacity of the
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Real-time vehicle matching for multi-camera tunnel surveillance
Jelača, Vedran; Niño Castañeda, Jorge Oswaldo; Frías-Velázquez, Andrés; Pižurica, Aleksandra; Philips, Wilfried
2011-03-01
Tracking multiple vehicles with multiple cameras is a challenging problem of great importance in tunnel surveillance. One of the main challenges is accurate vehicle matching across the cameras with non-overlapping fields of view. Since systems dedicated to this task can contain hundreds of cameras which observe dozens of vehicles each, for a real-time performance computational efficiency is essential. In this paper, we propose a low complexity, yet highly accurate method for vehicle matching using vehicle signatures composed of Radon transform like projection profiles of the vehicle image. The proposed signatures can be calculated by a simple scan-line algorithm, by the camera software itself and transmitted to the central server or to the other cameras in a smart camera environment. The amount of data is drastically reduced compared to the whole image, which relaxes the data link capacity requirements. Experiments on real vehicle images, extracted from video sequences recorded in a tunnel by two distant security cameras, validate our approach.
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Developments for medium-capacity urban public transport
Energy Technology Data Exchange (ETDEWEB)
Calverley, H B
1979-11-01
Light guideway transit (LGT), that is, automatically operated urban electric vehicles carrying 12 to 70 passengers via elevated guideways or underground tunnels, with stations 250 to 800 meters apart, and self-contained during off hours as regards propulsion and control, could help relieve future energy demands. Over 30 LGT systems are currently under development, and their various mechanical, electrical, and power-source (three-phase distribution, thyristor phase-angle control and dc rotating motors) aspects are presented. Developments in present-day trolleys, battery buses (lead-acid, alkaline), combustion-engined buses, and hybrid vehicles are reviewed, with particular emphasis on energy, such as its mechanical storage by flywheels during regenerative braking. Specific requirements of future LGT systems, including vehicle support systems (by magnetic levitation using dc magnets, air support by either cushion or suction, pneumatic tires, steel wheels, or above-ground suspension), headway and line capacity, junction switching, and automatic vehicle control are discussed.
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International Nuclear Information System (INIS)
Jones, H.
1991-02-01
The CFFTP/Spar In-vessel Vehicle System concept for in-vessel remote maintenance of the NET/ITER machine is described. It comprises a curved deployable boom, a vehicle which can travel on the boom and an end effector or work unit mounted on the vehicle. The stowed boom, vehicle, and work unit are inserted via the equatorial access port of the torus. Following insertion the boom is deployed and locked in place. The vehicle may then travel along the boom to transport the work unit to any desired location. A novel feature of the concept is the deployable boom. When fully deployed, it closely resembles a conventional curved truss structure in configuration and characteristics. However, the joints of the truss structure are hinged so that it can fold into a compact package, of less than 20% of deployed volume for storage, transportation and insertion into the torus. A full-scale 2-metre long section of this boom was produced for demonstration purposes. As part of the concept definition the work unit for divertor handling was studied to demonstrate that large payloads could be manipulated within the confines of the torus using the in-vessel vehicle system. Principal advantages of the IVVS are its high load capacity and rigidity, low weight and stowed volume, simplicity of control and operation, and its relatively high speed of transportation
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A.C.D. Donkers (Bas)
2013-01-01
textabstractPeople can choose and they make many choices each and every day. However, most people are unaware of how strong their environment influences the choices they make. In his inaugural address, Bas Donkers highlights the impact of what people see (and what they don’t see), what people
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Journey predictive energy management strategy for a plug-in hybrid electric vehicle
Dharmaraj Ram Manohar, Ravi Shankar
2013-01-01
The adoption of Plug-in Hybrid Electric Vehicles (PHEVs) is widely seen as an interim solution for the decarbonisation of the transport sector. Within a PHEV, determining the required energy storage capacity of the battery remains one of the primary concerns for vehicle manufacturers and system integrators. This fact is particularly pertinent since the battery constitutes the largest contributor to vehicle mass. Furthermore, the financial cost associated with the procurement, d...
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An Improved Car-Following Model in Vehicle Networking Based on Network Control
Directory of Open Access Journals (Sweden)
D. Y. Kong
2014-01-01
Full Text Available Vehicle networking is a system to realize information interoperability between vehicles and people, vehicles and roads, vehicles and vehicles, and cars and transport facilities, through the network information exchange, in order to achieve the effective monitoring of the vehicle and traffic flow. Realizing information interoperability between vehicles and vehicles, which can affect the traffic flow, is an important application of network control system (NCS. In this paper, a car-following model using vehicle networking theory is established, based on network control principle. The car-following model, which is an improvement of the traditional traffic model, describes the traffic in vehicle networking condition. The impact that vehicle networking has on the traffic flow is quantitatively assessed in a particular scene of one-way, no lane changing highway. The examples show that the capacity of the road is effectively enhanced by using vehicle networking.
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Flex-fuel vehicle adoption and dynamics of ethanol prices: lessons from Brazil
International Nuclear Information System (INIS)
Du, Xiaodong; Carriquiry, Miguel A.
2013-01-01
Focusing on dynamics of the relative prices of substitute fuels, namely ethanol and gasoline, this study quantifies the impact of the increase in shares of flex-fuel vehicles (FFVs) in the vehicle fleet on the domestic ethanol prices in Brazil. A modified partial adjustment model is employed. Estimation results provide strong support for our research hypotheses: (i) when consumers can choose between the fuels the relative ethanol and gasoline prices converge to a long-run equilibrium level, which is determined by the fuel economy, and (ii) price dynamics are largely determined by market supply and demand factors including the price of sugar, ethanol exports, and composition of vehicle fleet. Furthermore, the impacts of demand factors such as ethanol exports are strengthened by the increasing proportion of FFVs in the vehicle fleet. - Highlights: • The relative prices of ethanol and gasoline in Brazil exhibit strong mean-reversion. • The fuel price dynamics are mainly influenced by supply and demand factors. • The impacts of demand factors are strengthened by the increasing proportion of FFVs
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Vehicle Systems Engineering and Integration Activities - Phase 5
2012-08-31
payload, 10,300 lb gross vehicle weight. The Expanded Capacity Vehicle (ECV, 1993-present) has a 6.5 liter turbo diesel Bolt on armor required...installed by the maintenance unit. A proposed ECV2 (not currently in production) has an improved 6.5 liter turbo diesel engine, a new transmission...frame (3 piece welded), integral “A” armor with attachment points for “B” armor kit, increased cab space (14 cubic feet), enhanced 6500 turbo diesel
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Periodic Heterogeneous Vehicle Routing Problem With Driver Scheduling
Mardiana Panggabean, Ellis; Mawengkang, Herman; Azis, Zainal; Filia Sari, Rina
2018-01-01
The paper develops a model for the optimal management of logistic delivery of a given commodity. The company has different type of vehicles with different capacity to deliver the commodity for customers. The problem is then called Periodic Heterogeneous Vehicle Routing Problem (PHVRP). The goal is to schedule the deliveries according to feasible combinations of delivery days and to determine the scheduling of fleet and driver and routing policies of the vehicles. The objective is to minimize the sum of the costs of all routes over the planning horizon. We propose a combined approach of heuristic algorithm and exact method to solve the problem.
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Optimization of Parking Public Transport Vehicles in Ostrava
Directory of Open Access Journals (Sweden)
Dušan Teichmann
2015-03-01
Full Text Available A typical trait of public transport is a spatially scattered demand. A route net that is operated by a carrier (or several carriers has to be adapted to the demand. Public transport vehicles that are not used during a period of a day are usually parked in defined parking lots that have a given capacity. When the vehicle goes from the place where its schedule ends (usually a terminus of the last connection served by the vehicle to the place where the vehicle should be parked, a non-productive journey occurs. The same occurs at the beginning of the vehicle schedule as well. The main goal of the paper is to present a mathematical model that enables minimization of the total length of all the non-productive journeys. Functionality of the proposed mathematical model was tested in the conditions of a real bus public transport network.
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Plug-in hybrid electric vehicles in smart grid
Yao, Yin
In this thesis, in order to investigate the impact of charging load from plug-in hybrid electric vehicles (PHEVs), a stochastic model is developed in Matlab. In this model, two main types of PHEVs are defined: public transportation vehicles and private vehicles. Different charging time schedule, charging speed and battery capacity are considered for each type of vehicles. The simulation results reveal that there will be two load peaks (at noon and in evening) when the penetration level of PHEVs increases continuously to 30% in 2030. Therefore, optimization tool is utilized to shift load peaks. This optimization process is based on real time pricing and wind power output data. With the help of smart grid, power allocated to each vehicle could be controlled. As a result, this optimization could fulfill the goal of shifting load peaks to valley areas where real time price is low or wind output is high.
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75 FR 17605 - Federal Motor Vehicle Safety Standards; Roof Crush Resistance
2010-04-07
... that the challenge was to push to a level where the safety benefits are still reasonable in relation to... it is inequitable to those who travel in large vans and large sport utility vehicles (SUVs) for those... pickup trucks, vans and sport utility vehicles that have the capacity to seat three or more occupants...
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The U.S. Combat and Tactical Wheeled Vehicle Fleets: Issues and Suggestions for Congress
2011-01-01
capac- ity and higher thermal operating temperatures, and improvements in ultracapacitors, which will enable improved regenerative braking ...associated with particular categories of combat vehi- cles and armored tactical wheeled vehicles, and with particular missions of such vehicles. (D...and an assessment of emerging threats • identify critical technology elements or integration risks asso- ciated with particular categories of vehicles
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Exchange program. Alternative options for purchase of environmentally friendly vehicles in Stockholm
Energy Technology Data Exchange (ETDEWEB)
Rader Olsson, Amy [Inregia AB, Stockholm (Sweden); Elam, N. [Atrax Energi AB, Goeteborg (Sweden)
1999-11-01
The city of Stockholm has decided to exchange 300 of its gasoline-driven vehicles for vehicles which emit fewer hazardous pollutants. A vehicle exchange program is being developed based on analyses which describe the driving patterns of Stockholm's vehicles, alternative fuel technology status, and financing alternatives. This report comprises the first two analyses, that of Stockholm's fleet driving patterns and alternative fuel technology options. The report has four major sections: * a technical analysis of the status of certain fuels and vehicles, including prognoses of availability in Sweden and the future development potential of each. (electric, biogas, ethanol, RME), * a driving study, which identifies those vehicles currently in Stockholm's fleet which could be exchanged for alternatively-fueled vehicles, * an analysis of five purchase package alternatives, and * a location analysis, which describes the accessibility of vehicles in each alternative to alternative fuel refueling facilities in Stockholm. Given current prices and availability of the alternative fuels and vehicles studied, we recommend a high share of electric and biogas vehicles for purchases during 1997. The cost-effectiveness of different vehicle types in their reduction of various hazardous pollutants, may however change dramatically as prices and availability of vehicles changes and the market for alternative fuels develops. Accessibility to alternative fuel refueling facilities is adequate in Stockholm, though not always ideal. To improve the accessibility of biogas vehicles further, we suggest a third biogas refueling facility in the city's northeastern area (Ropsten, Vaertahamnen). If MFO chooses to purchase a significant number of diesel passenger vehicles to be driven on RME; we propose that a facility in the northeastern area would improve accessibility more than another facility in southern Stockholm.
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Test bed for applications of heterogeneous unmanned vehicles
Directory of Open Access Journals (Sweden)
Filiberto Muñoz Palacios
2017-01-01
Full Text Available This article addresses the development and implementation of a test bed for applications of heterogeneous unmanned vehicle systems. The test bed consists of unmanned aerial vehicles (Parrot AR.Drones versions 1 or 2, Parrot SA, Paris, France, and Bebop Drones 1.0 and 2.0, Parrot SA, Paris, France, ground vehicles (WowWee Rovio, WowWee Group Limited, Hong Kong, China, and the motion capture systems VICON and OptiTrack. Such test bed allows the user to choose between two different options of development environments, to perform aerial and ground vehicles applications. On the one hand, it is possible to select an environment based on the VICON system and LabVIEW (National Instruments or robotics operating system platforms, which make use the Parrot AR.Drone software development kit or the Bebop_autonomy Driver to communicate with the unmanned vehicles. On the other hand, it is possible to employ a platform that uses the OptiTrack system and that allows users to develop their own applications, replacing AR.Drone’s original firmware with original code. We have developed four experimental setups to illustrate the use of the Parrot software development kit, the Bebop Driver (AutonomyLab, Simon Fraser University, British Columbia, Canada, and the original firmware replacement for performing a strategy that involves both ground and aerial vehicle tracking. Finally, in order to illustrate the effectiveness of the developed test bed for the implementation of advanced controllers, we present experimental results of the implementation of three consensus algorithms: static, adaptive, and neural network, in order to accomplish that a team of multiagents systems move together to track a target.
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Choosing and Using Images in Environmental Science Education
Muthersbaugh, Debbie Smick
2012-01-01
Although using images for teaching has been a common practice in science classrooms (Gordon & Pea, 1995) understanding the purpose or how to choose images has not typically been intentional. For this dissertation three separate studies relating to choosing and using images are prepared with environmental science in mind. Each of the studies…
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The consumer : the forgotten party in the race to commercialize hydrogen vehicles
International Nuclear Information System (INIS)
Adamson, K.A.
2002-01-01
This paper described the current research into niche market adoption for hydrogen vehicles with reference to what consumers are willing to pay for the attributes of a hydrogen vehicle. The automotive industry has invested billions of dollars in the past decade into the development of hydrogen vehicles for an imminent market launch date of 2003 and 2004. Energy providers have also begun to address the issue of fuel infrastructure. However, demand pull from the consumer is necessary to fulfill the concept of a hydrogen-based vehicle fleet. Direct hydrogen fuelled vehicles currently include the BMW 750 hl, the NECAR 4 and NECAR 6 from DaimlerChrysler, the Ford Focus FCV and the Honda FCX-V3. These initial market vehicles will undergo significant evolution during and before mass market launch, but they are critical in terms of demand pull for the creation of a market for the hydrogen vehicle. Launching a new product is risky business. Studies have shown that the probability of success of a new product is between 5 to 20 per cent. Consumers have the choice to stick with internal combustion engines but to switch to hydrogen fuel, or they could switch to a different power train (such as a fuel cell), or they can choose to stay with the traditional ICE engine fuelled by gasoline or diesel. Analysing consumer choice and modelling who these consumers are, could be useful in determining the probability of adopting hydrogen vehicle technology. 7 refs., 6 figs
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Vibration Isolation for Parallel Hydraulic Hybrid Vehicles
Directory of Open Access Journals (Sweden)
The M. Nguyen
2008-01-01
Full Text Available In recent decades, several types of hybrid vehicles have been developed in order to improve the fuel economy and to reduce the pollution. Hybrid electric vehicles (HEV have shown a significant improvement in fuel efficiency for small and medium-sized passenger vehicles and SUVs. HEV has several limitations when applied to heavy vehicles; one is that larger vehicles demand more power, which requires significantly larger battery capacities. As an alternative solution, hydraulic hybrid technology has been found effective for heavy duty vehicle because of its high power density. The mechanical batteries used in hydraulic hybrid vehicles (HHV can be charged and discharged remarkably faster than chemical batteries. This feature is essential for heavy vehicle hybridization. One of the main problems that should be solved for the successful commercialization of HHV is the excessive noise and vibration involving with the hydraulic systems. This study focuses on using magnetorheological (MR technology to reduce the noise and vibration transmissibility from the hydraulic system to the vehicle body. In order to study the noise and vibration of HHV, a hydraulic hybrid subsystem in parallel design is analyzed. This research shows that the MR elements play an important role in reducing the transmitted noise and vibration to the vehicle body. Additionally, locations and orientations of the isolation system also affect the efficiency of the noise and vibration mitigation. In simulations, a skyhook control algorithm is used to achieve the highest possible effectiveness of the MR isolation system.
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Formulations and Branch-and-Cut Algorithms for the Generalized Vehicle Routing Problem
DEFF Research Database (Denmark)
Bektas, Tolga; Erdogan, Günes; Røpke, Stefan
2011-01-01
The Generalized Vehicle Routing Problem (GVRP) consists of nding a set of routes for a number of vehicles with limited capacities on a graph with the vertices partitioned into clusters with given demands such that the total cost of travel is minimized and all demands are met. This paper offers four...
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International Nuclear Information System (INIS)
Xu, Liangfei; Ouyang, Minggao; Li, Jianqiu; Yang, Fuyuan; Lu, Languang; Hua, Jianfeng
2013-01-01
Highlights: ► An analytical model for vehicle performance and power-train parameters. ► Quantitative relationships between vehicle performance and power-train parameters. ► Optimal sizing rules that help designing an optimal PEM fuel cell power-train. ► An on-road testing showing the performance of the proposed vehicle. -- Abstract: This paper presents an optimal sizing method for plug-in proton exchange membrane (PEM) fuel cell and lithium-ion battery (LIB) powered city buses. We propose a theoretical model describing the relationship between components’ parameters and vehicle performance. Analysis results show that within the working range of the electric motor, the maximal velocity and driving distance are influenced linearly by the parameters of the components, e.g. fuel cell efficiency, fuel cell output power, stored hydrogen mass, vehicle auxiliary power, battery capacity, and battery average resistance. Moreover, accelerating time is also linearly dependant on the abovementioned parameters, except of those of the battery. Next, we attempt to minimize fixed and operating costs by introducing an optimal sizing problem that uses as constraints the requirements on vehicle performance. By solving this problem, we attain several optimal sizing rules. Finally, we use these rules to design a plug-in PEM fuel cell city bus and present performance results obtained by on-road testing.
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Effects of electric vehicles on power systems in Northern Europe
DEFF Research Database (Denmark)
Hedegaard, Karsten; Ravn, Hans; Juul, Nina
2012-01-01
In this study, it is analysed how a large-scale implementation of plug-in hybrid electric vehicles and battery electric vehicles towards 2030 would influence the power systems of five Northern European countries, Denmark, Finland, Germany, Norway, and Sweden. Increasing shares of electric vehicles...... (EVs) are assumed; comprising 2.5%, 15%, 34%, and 53% of the private passenger vehicle fleet in 2015, 2020, 2025, and 2030, respectively. Results show that when charged/discharged intelligently, EVs can facilitate significantly increased wind power investments already at low vehicle fleet shares....... Moreover, due to vehicle-to-grid capability, EVs can reduce the need for new coal/natural gas power capacities. Wind power can be expected to provide a large share of the electricity for EVs in several of the countries. However, if EVs are not followed up by economic support for renewable energy...
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Materials used in new generation vehicles: supplies, shifts, and supporting infrastructure
Energy Technology Data Exchange (ETDEWEB)
Das, S.; Curlee, T.R. [Oak Ridge National Lab., TN (United States); Schexnayder, S.M. [Univ. of Tennessee, Knoxville, (United States)
1997-08-01
-reinforced composites, 379 lbs.; aluminum, 926 lbs.; and magnesium, 216 lbs. The substitutions (and the steel and iron they replace) are multiplied by the number of new generation vehicles produced on an annual basis out to 2030 to determine the total quantity of material used in new generation vehicles and the quantity of steel that would be displaced. We identified six stages in the life cycle of materials--mining or extraction of resources; smelting or other processing to produce the material from the resource; producing components from the material; assembling the components into vehicles, using, maintaining, and repairing vehicles; and disposing of the vehicle, including any recycling of materials for automotive or other use--and identified what might be required to supply and use the substitute materials at different life cycle stages. The variables considered are the mineral or material supply, the capital and equipment (including necessary capacity, technical changes, cost, and location), labor and employment, energy, material complements, and environmental emissions and impacts. The analysis shows that raw materials to produce each of the replacement materials are sufficiently available, and adequate mining or extraction capacity exists for each. However, challenges are possible at the material production stage for three of the four materials. For aluminum and magnesium the difficulties are associated with requirements for significant new production capacity, necessary for aluminum because new production equipment will be needed to produce the material in a cost-effective manner and for magnesium because current production capacity is inadequate. The required capacity investment for magnesium to meet demand in 2030 is $13.1 billion. Both materials also would sharply increase energy requirements, and both industries would likely develop mostly--if not entirely--outside the United States. To produce the carbon-based fiber to meet PNGV demand in 2015, an entire new industry must
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Vehicle Battery Safety Roadmap Guidance
Energy Technology Data Exchange (ETDEWEB)
Doughty, D. H.
2012-10-01
The safety of electrified vehicles with high capacity energy storage devices creates challenges that must be met to assure commercial acceptance of EVs and HEVs. High performance vehicular traction energy storage systems must be intrinsically tolerant of abusive conditions: overcharge, short circuit, crush, fire exposure, overdischarge, and mechanical shock and vibration. Fail-safe responses to these conditions must be designed into the system, at the materials and the system level, through selection of materials and safety devices that will further reduce the probability of single cell failure and preclude propagation of failure to adjacent cells. One of the most important objectives of DOE's Office of Vehicle Technologies is to support the development of lithium ion batteries that are safe and abuse tolerant in electric drive vehicles. This Roadmap analyzes battery safety and failure modes of state-of-the-art cells and batteries and makes recommendations on future investments that would further DOE's mission.
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The impact of electric vehicles on the outlook of future energy system
Zhuk, A.; Buzoverov, E.
2018-02-01
Active promotion of electric vehicles (EVs) and technology of fast EV charging in the medium term may cause significant peak loads on the energy system, what necessitates making strategic decisions related to the development of generating capacities, distribution networks with EV charging infrastructure, and priorities in the development of battery electric vehicles and vehicles with electrochemical generators. The paper analyses one of the most significant aspects of joint development of electric transport system and energy system in the conditions of substantial growth of energy consumption by EVs. The assessments of per-unit-costs of operation and depreciation of EV power unit were made, taking into consideration the expenses of electric power supply. The calculations show that the choice of electricity buffering method for EV fast charging depends on the character of electricity infrastructure in the region where the electric transport is operating. In the conditions of high density of electricity network and a large number of EVs, the stationary storage facilities or the technology of distributed energy storage in EV batteries - vehicle-to-grid (V2G) technology may be used for buffering. In the conditions of low density and low capacity of electricity networks, the most economical solution could be usage of EVs with traction power units based on the combination of air-aluminum electrochemical generator and a buffer battery of small capacity.
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Directory of Open Access Journals (Sweden)
Cheolsun Kim
2016-03-01
Full Text Available This study presents an analytical method for dynamically adjusting toll plaza capacity to cope with a sudden shift in demand. The proposed method uses a proxy measure developed using discharge rate observed at toll plazas and segment travel times measured by probe vehicles. The effectiveness of the method has been evaluated by analyzing the empirical data obtained from toll plazas in the San Francisco Bay Area before and after toll plaza capacity changed. Findings indicate that the estimated number of vehicles stored near the upstream of toll plaza based on discharge rate and their travel times can be used as a proxy measure for predicting the effect of changes in toll plaza capacity. The proposed model can aid government agencies to dynamically adjust the toll plaza capacity in response to a sudden shift in demand due to various situations of failure.
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Strategies for Charging Electric Vehicles in the Electricity Market
Directory of Open Access Journals (Sweden)
Nina Juul
2015-06-01
Full Text Available This paper analyses different charging strategies for a fleet of electric vehicles. Along with increasing the realism of the strategies, the opportunity for acting on the regulating market is also included. We test the value of a vehicle owner that can choose when and how to charge; by presenting a model of four alternative charging strategies. We think of them as increasing in sophistication from dumb via delayed to deterministic and stochastic model-based charging. We show that 29% of the total savings from ‘dumb’ are due to delayed charging and that substantial additional gains come charging optimally in response to predicted spot prices, and – in some settings – additional gains from using the up and down regulating prices. Particularly, strategies are chosen from uncontrolled charging through deterministic optimization, to modelling the charging and bidding problem with stochastic programming. We show that all vehicle owners will benefit from acting more intelligently on the energy market. Furthermore, the high value of the stochastic solution shows that, in case the regulating price differs from the expected, the solution to the deterministic problem becomes infeasible.
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Novel Field Test Equipment for Lithium-Ion Batteries in Hybrid Electrical Vehicle Applications
Directory of Open Access Journals (Sweden)
Goran Lindbergh
2011-04-01
Full Text Available Lifetime testing of batteries for hybrid-electrical vehicles (HEV is usually performed in the lab, either at the cell, module or battery pack level. Complementary field tests of battery packs in vehicles are also often performed. There are, however, difficulties related to field testing of battery-packs. Some examples are cost issues and the complexity of continuously collecting battery performance data, such as capacity fade and impedance increase. In this paper, a novel field test equipment designed primarily for lithium-ion battery cell testing is presented. This equipment is intended to be used on conventional vehicles, not hybrid vehicles, as a cheaper and faster field testing method for batteries, compared to full scale HEV testing. The equipment emulates an HEV environment for the tested battery cell by using real time vehicle sensor information and the existing starter battery as load and source. In addition to the emulated battery cycling, periodical capacity and pulse testing capability are implemented as well. This paper begins with presenting some background information about hybrid electrical vehicles and describing the limitations with today’s HEV battery testing. Furthermore, the functionality of the test equipment is described in detail and, finally, results from verification of the equipment are presented and discussed.
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Effects of ambient conditions on fuel cell vehicle performance
Haraldsson, K.; Alvfors, P.
Ambient conditions have considerable impact on the performance of fuel cell hybrid vehicles. Here, the vehicle fuel consumption, the air compressor power demand, the water management system and the heat loads of a fuel cell hybrid sport utility vehicle (SUV) were studied. The simulation results show that the vehicle fuel consumption increases with 10% when the altitude increases from 0 m up to 3000 m to 4.1 L gasoline equivalents/100 km over the New European Drive Cycle (NEDC). The increase is 19% on the more power demanding highway US06 cycle. The air compressor is the major contributor to this fuel consumption increase. Its load-following strategy makes its power demand increase with increasing altitude. Almost 40% of the net power output of the fuel cell system is consumed by the air compressor at the altitude of 3000 m with this load-following strategy and is thus more apparent in the high-power US06 cycle. Changes in ambient air temperature and relative humidity effect on the fuel cell system performance in terms of the water management rather in vehicle fuel consumption. Ambient air temperature and relative humidity have some impact on the vehicle performance mostly seen in the heat and water management of the fuel cell system. While the heat loads of the fuel cell system components vary significantly with increasing ambient temperature, the relative humidity did not have a great impact on the water balance. Overall, dimensioning the compressor and other system components to meet the fuel cell system requirements at the minimum and maximum expected ambient temperatures, in this case 5 and 40 °C, and high altitude, while simultaneously choosing a correct control strategy are important parameters for efficient vehicle power train management.
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Modelling the Aggregated Dynamic Response of Electric Vehicles
DEFF Research Database (Denmark)
Ziras, Charalampos; Hu, Junjie; You, Shi
2017-01-01
There is an increasing interest in the use of electric vehicles (EVs) for providing fast frequency reserves due to their large installed capacity and their very fast response. Most works focus on scheduling and optimization and usually neglect their aggregated dynamic response, which...
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Value of freedom to choose encoded by the human brain
Fujiwara, Juri; Usui, Nobuo; Park, Soyoung Q.; Williams, Tony; Iijima, Toshio; Taira, Masato; Tsutsui, Ken-Ichiro
2013-01-01
Humans and animals value the opportunity to choose by preferring alternatives that offer more rather than fewer choices. This preference for choice may arise not only from an increased probability of obtaining preferred outcomes but also from the freedom it provides. We used human neuroimaging to investigate the neural basis of the preference for choice as well as for the items that could be chosen. In each trial, participants chose between two options, a monetary amount option and a “choice option.” The latter consisted of a number that corresponded to the number of everyday items participants would subsequently be able to choose from. We found that the opportunity to choose from a larger number of items was equivalent to greater amounts of money, indicating that participants valued having more choice; moreover, participants varied in the degree to which they valued having the opportunity to choose, with some valuing it more than the increased probability of obtaining preferred items. Neural activations in the mid striatum increased with the value of the opportunity to choose. The same region also coded the value of the items. Conversely, activation in the dorsolateral striatum was not related to the value of the items but was elevated when participants were offered more choices, particularly in those participants who overvalued the opportunity to choose. These data suggest a functional dissociation of value representations within the striatum, with general representations in mid striatum and specific representations of the value of freedom provided by the opportunity to choose in dorsolateral striatum. PMID:23864380
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Slip control for LIM propelled transit vehicles
Wallace, A. K.; Parker, J. H.; Dawson, G. E.
1980-09-01
Short stator linear induction motors, with an iron-backed aluminum sheet reaction rail and powered by a controlled inverter, have been selected as the propulsion system for transit vehicles in an intermediate capacity system (12-20,000 pphpd). The linear induction motor is capable of adhesion independent braking and acceleration levels which permit safe, close headways. In addition, simple control is possible allowing moving block automatic train control. This paper presents a slip frequency control scheme for the LIM. Experimental results for motoring and braking obtained from a test vehicle are also presented. These values are compared with theoretical predictions.
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Research and application of genetic algorithm in path planning of logistics distribution vehicle
Wang, Yong; Zhou, Heng; Wang, Ying
2017-08-01
The core of the logistics distribution system is the vehicle routing planning, research path planning problem, provide a better solution has become an important issue. In order to provide the decision support for logistics and distribution operations, this paper studies the problem of vehicle routing with capacity constraints (CVRP). By establishing a mathematical model, the genetic algorithm is used to plan the path of the logistics vehicle to meet the minimum logistics and transportation costs.
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Experiments in a real scale maglev vehicle prototype
Energy Technology Data Exchange (ETDEWEB)
Sotelo, G G; Stephan, R M [Department of Electrical Engineering - Federal University of Rio de Janeiro. Address: CT, Bl. I-2000 Sala 148, Cidade Universitaria, Rio de Janeiro. PO-BOX: 68553, CEP.: 21941 - 972 (Brazil); Costa, G C [Universidade Estadual da Zona Oeste (Brazil); Dias, D H N; Machado, O J; David, E D; Andrade, R de Jr, E-mail: sotelo@coe.ufrj.b
2010-06-01
A Brazilian real scale magnetically levitated transport system prototype is under development at the Federal University of Rio de Janeiro. To test this system a 180 m long line has been projected and it will be concluded by the end of 2010. A superconducting linear bearing (SLB) is used to replace the wheels of a conventional train. High temperature superconductor bulks placed inside cryostats attached to the vehicle and a magnetic rail composes the SLB. To choose the magnetic rail for the test line three different rails, selected in a previous simulation work, were built and tested. They are composed by Nd-Fe-B and steel, arranged in a flux concentrator topology. The magnetic flux density for those magnetic rails was mapped. Also, the levitation force between those rails and the superconductor cryostat, for several cooling gaps, were measured to select the best rail geometry to be used in the real scale line. The SLB allows building a light vehicle with distributed load, silent and high energy efficient. The proposed vehicle is composed of four modules with just 1.5 m of length each one and it can transport up to 24 passengers. The test line having two curves with 45 m radius and a 15% acclivity ramp is also presented.
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Optimal Signal Design for Mixed Equilibrium Networks with Autonomous and Regular Vehicles
Directory of Open Access Journals (Sweden)
Nan Jiang
2017-01-01
Full Text Available A signal design problem is studied for efficiently managing autonomous vehicles (AVs and regular vehicles (RVs simultaneously in transportation networks. AVs and RVs move on separate lanes and two types of vehicles share the green times at the same intersections. The signal design problem is formulated as a bilevel program. The lower-level model describes a mixed equilibrium where autonomous vehicles follow the Cournot-Nash (CN principle and RVs follow the user equilibrium (UE principle. In the upper-level model, signal timings are optimized at signalized intersections to allocate appropriate green times to both autonomous and RVs to minimize system travel cost. The sensitivity analysis based method is used to solve the bilevel optimization model. Various signal control strategies are evaluated through numerical examples and some insightful findings are obtained. It was found that the number of phases at intersections should be reduced for the optimal control of the AVs and RVs in the mixed networks. More importantly, incorporating AVs into the transportation network would improve the system performance due to the value of AV technologies in reducing random delays at intersections. Meanwhile, travelers prefer to choose AVs when the networks turn to be congested.
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Clean Cities 2012 Vehicle Buyer's Guide (Brochure)
Energy Technology Data Exchange (ETDEWEB)
2012-03-01
The expanding availability of alternative fuels and advanced vehicles makes it easier than ever to reduce petroleum use, cut emissions, and save on fuel costs. The Clean Cities 2012 Vehicle Buyer's Guide features a comprehensive list of model year 2012 vehicles that can run on ethanol, biodiesel, electricity, propane or natural gas. Drivers and fleet managers across the country are looking for ways to reduce petroleum use, fuel costs, and vehicle emissions. As you'll find in this guide, these goals are easier to achieve than ever before, with an expanding selection of vehicles that use gasoline or diesel more efficiently, or forego them altogether. Plug-in electric vehicles made a grand entrance onto U.S. roadways in model year (MY) 2011, and their momentum in the market is poised for continued growth in 2012. Sales of the all-electric Nissan Leaf surpassed 8,000 in the fall of 2011, and the plug-in hybrid Chevy Volt is now available nationwide. Several new models from major automakers will become available throughout MY 2012, and drivers are benefiting from a rapidly growing network of charging stations, thanks to infrastructure development initiatives in many states. Hybrid electric vehicles, which first entered the market just a decade ago, are ubiquitous today. Hybrid technology now allows drivers of all vehicle classes, from SUVs to luxury sedans to subcompacts, to slash fuel use and emissions. Alternative fueling infrastructure is expanding in many regions, making natural gas, propane, ethanol, and biodiesel attractive and convenient choices for many consumers and fleets. And because fuel availability is the most important factor in choosing an alternative fuel vehicle, this growth opens up new possibilities for vehicle ownership. This guide features model-specific information about vehicle specs, manufacturer suggested retail price (MSRP), fuel economy, and emissions. You can use this information to compare vehicles and help inform your buying
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How to choose a delegation for a peace conference?
Can, Burak; Csóka, Péter; Ergin, Emre
2017-01-01
This paper analyzes how to choose a delegation, a committee to represent a society such as in a peace conference. We propose normative conditions and seek optimal, consistent, neutral and non-manipulable ways to choose a delegation. We show that a novel class of threshold rules are characterized by
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Routing of Electric Vehicles: City Distribution in Copenhagen
DEFF Research Database (Denmark)
Linde, Esben; Larsen, Allan; Nørrelund, Anders Vedsted
In this work, a Vehicle Routing Problem with Time Windows considering EV constraints of limited driving range and freight capacity is addressed (EVRPTW). The EVs are allowed to recharge at certain locations, and aspects of intelligent location of these recharging points are considered....... The objective is to find the least cost plan for EV routing and compare this to conventional routing. A heuristic method is developed and tested on data based on real-life collected data on distribution vehicles in central Copenhagen, Denmark. The EVRPTW has so far received little attention in the literature...
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The movement model for small roundabouts with minor roads capacity estimating
Directory of Open Access Journals (Sweden)
ElŜbieta MACIOSZEK
2007-01-01
Full Text Available Base on measurements and movement analysis, movement model for smallroundabouts has been built. Model can be useful for minor roads capacity estimating. The gap acceptance problem for small roundabouts has been presented in this article. This is one of the burning issue in modelling traffic flow on small roundabouts. At roundabout,vehicle circle counterclockwise. Approaching flow give priority to circulating flows. This ensures an uninterrupted flow in the circulating roadway. Circulating and approaching flows merge immediately at the entrance to the circulating roadway. Each vehicle must make two right turns. All other movements are eliminated. As a subordinate vehicle enters the circulating roadway it became a priority vehicle. The value of critical gap is very important in merging process.
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A New Vehicle-to-Grid System for Battery Charging exploiting IoT protocols
Energy Technology Data Exchange (ETDEWEB)
Fachechi, Alessio; Mainetti, Luca; Palano, Laura; Patrono, Luca; Stefanizzi, Luigi; Vergallo, Roberto; Chu, Peter; Gadh, Rajit
2015-03-17
The continuously rising demand for electricity has prompted governments and industries to research more effective energy management systems. The Internet of Things paradigm is a valuable add-on for controlling and managing the energy appliances such as Plug-in Electrical Vehicles (PEV) charging stations. In this paper, we present a Demand Response implementation for PEV charging stations able to use Wireless Sensor Network technologies based on the Constrained Application Protocol (CoAP). We developed a self-service kiosk system by which the user can autonomously swipe his/her credit card and choose the charging station to enable. When a user plugs his/her vehicle to the station, s/he subscribes his availability to share a portion of its energy. When the grid requests a contribution from the PEVs, the kiosk sends a CoAP message to the available stations and the energy flow is inverted (Vehicle-to-Grid). At the end of the charging process, the user's credit card gets charged with a discounted bill.
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Modeling of hybrid vehicle fuel economy and fuel engine efficiency
Wu, Wei
"Near-CV" (i.e., near-conventional vehicle) hybrid vehicles, with an internal combustion engine, and a supplementary storage with low-weight, low-energy but high-power capacity, are analyzed. This design avoids the shortcoming of the "near-EV" and the "dual-mode" hybrid vehicles that need a large energy storage system (in terms of energy capacity and weight). The small storage is used to optimize engine energy management and can provide power when needed. The energy advantage of the "near-CV" design is to reduce reliance on the engine at low power, to enable regenerative braking, and to provide good performance with a small engine. The fuel consumption of internal combustion engines, which might be applied to hybrid vehicles, is analyzed by building simple analytical models that reflect the engines' energy loss characteristics. Both diesel and gasoline engines are modeled. The simple analytical models describe engine fuel consumption at any speed and load point by describing the engine's indicated efficiency and friction. The engine's indicated efficiency and heat loss are described in terms of several easy-to-obtain engine parameters, e.g., compression ratio, displacement, bore and stroke. Engine friction is described in terms of parameters obtained by fitting available fuel measurements on several diesel and spark-ignition engines. The engine models developed are shown to conform closely to experimental fuel consumption and motored friction data. A model of the energy use of "near-CV" hybrid vehicles with different storage mechanism is created, based on simple algebraic description of the components. With powertrain downsizing and hybridization, a "near-CV" hybrid vehicle can obtain a factor of approximately two in overall fuel efficiency (mpg) improvement, without considering reductions in the vehicle load.
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A comparative evaluation of energy storage systems for a fuel cell vehicle. Paper no. IGEC-1-142
International Nuclear Information System (INIS)
Marshall, J.; Kazerani, M.
2005-01-01
The widespread operation of internal combustion engine (ICE) vehicles has today become a great cause for concern due to the uncertainty of fossil fuel reserves, energy security issues, and numerous adverse environmental effects. Alternatives such as fuel cell vehicles, electric vehicles, hybrid vehicles, and biodiesel vehicles provide the possibility to ease some or all of these concerns. The fuel cell vehicle, however, offers an excellent combination of reducing ICE vehicle problems while maintaining the performance, driving range, and convenience that consumers require. This paper documents a comparative evaluation of an extremely important facet of the fuel cell vehicle: the energy storage system (ESS). Batteries and ultracapacitors, the two most common choices for an ESS, are compared qualitatively to illustrate the advantages and disadvantages of each. Also, a quantitative comparison is made to choose the best technology for a small fuel cell-powered SUV having the design objectives of high performance and high efficiency. Practical issues such as availability and cost are also considered. The results of the analysis indicate that a battery ESS provides the best combination of efficiency, performance, and cost for a present-day fuel cell vehicle design. Yet, if the anticipated cost reductions and improvements in the energy storage capabilities of ultracapacitors do occur, ultracapacitors will become a very strong contender for energy storage solutions of future fuel cell vehicles. (author)
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Multi-Stage Transportation Problem With Capacity Limit
I. Brezina; Z. Čičková; J. Pekár; M. Reiff
2010-01-01
The classical transportation problem can be applied in a more general way in practice. Related problems as Multi-commodity transportation problem, Transportation problems with different kind of vehicles, Multi-stage transportation problems, Transportation problem with capacity limit is an extension of the classical transportation problem considering the additional special condition. For solving such problems many optimization techniques (dynamic programming, linear programming, special algor...
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Quantum Capacity under Adversarial Quantum Noise: Arbitrarily Varying Quantum Channels
Ahlswede, Rudolf; Bjelaković, Igor; Boche, Holger; Nötzel, Janis
2013-01-01
We investigate entanglement transmission over an unknown channel in the presence of a third party (called the adversary), which is enabled to choose the channel from a given set of memoryless but non-stationary channels without informing the legitimate sender and receiver about the particular choice that he made. This channel model is called an arbitrarily varying quantum channel (AVQC). We derive a quantum version of Ahlswede's dichotomy for classical arbitrarily varying channels. This includes a regularized formula for the common randomness-assisted capacity for entanglement transmission of an AVQC. Quite surprisingly and in contrast to the classical analog of the problem involving the maximal and average error probability, we find that the capacity for entanglement transmission of an AVQC always equals its strong subspace transmission capacity. These results are accompanied by different notions of symmetrizability (zero-capacity conditions) as well as by conditions for an AVQC to have a capacity described by a single-letter formula. In the final part of the paper the capacity of the erasure-AVQC is computed and some light shed on the connection between AVQCs and zero-error capacities. Additionally, we show by entirely elementary and operational arguments motivated by the theory of AVQCs that the quantum, classical, and entanglement-assisted zero-error capacities of quantum channels are generically zero and are discontinuous at every positivity point.
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Guide to Choosing Stroke Rehabilitation Services
National Stroke Association’s Guide to Choosing Stroke Rehabilitation Services Rehabilitation, often referred to as rehab, is an important part of stroke recovery. Through rehab, you: Re-learn basic skills such ...
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Development of commercial hybrid electric vehicle with native key components
Directory of Open Access Journals (Sweden)
S. V. Bakhmutov
2014-01-01
Full Text Available The perspectives of development of medium weight cargo vehicles with hybrid powertrain including Russian native key components are considered in this article. Series-parallel scheme of HEV is more relevant owing to limitations of series and parallel schemes. An example of this technology is described. This technical solution has good facilities for variation of HEV and AWD type. The authors have patented it. In addition, another main issue is to choose the types of key components with good correlation for parameters of ICE, electric motors, batteries, and inverter. Using mathematical model of the vehicle a selection and correlation of technical characteristics were carried out to meet ecological and economical requirements. After computing calculation two control strategies were accepted. The first strategy contributes to good fuel consumption, while the other one is aimed at ecology. Researchers use test benches to confirm the results of calculation, and this one was built by the authors applying native components. The result of experiment on the test bench is the growth of fuel consumption of the medium weight cargo vehicle by 25% and compliance with ecological class Euro-4.
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Supporting Infrastructure and Acceptability Issues for Materials Used in New Generation Vehicles
Energy Technology Data Exchange (ETDEWEB)
Das, S.; Curlee, T.R.; Jones, D.W.; Leiby, P.E.; Rubin, J.D.; Schexnayder, S.M.; Vogt, D.P.; Wolfe, A.K.
1999-03-01
To achieve its goal of producing vehicles that use two thirds less fuel than current vehicles, the Partnership of a New Generation of Vehicles (PNGV) is designing vehicles that will use lightweight materials in place of heavier materials used in current vehicles. using new materials in automobiles will require the development of a supporting infrastructure to produce both the substitute materials and the components of the substitute materials, as well as the automotive parts constructed from the new materials. This report documents a set of analyses that attempt to identify potential barriers--economic, infrastructure, and public acceptance barriers--to the materials substitution in New Generation Vehicles. The analyses rely on hypothetical vehicle market penetration scenarios and material composition. The approach is comprehensive, examining issues ranging from materials availability to their eventual disposition and its effect on the automobile recycling industry, and from supporting industries' capacity to the public acceptability of these vehicles. The analyses focus on two likely substitute materials, aluminum and glass-reinforced polymer composites.
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Analysis of an Automated Vehicle Routing Problem in Logistics considering Path Interruption
Directory of Open Access Journals (Sweden)
Yong Zhang
2017-01-01
Full Text Available The application of automated vehicles in logistics can efficiently reduce the cost of logistics and reduce the potential risks in the last mile. Considering the path restriction in the initial stage of the application of automated vehicles in logistics, the conventional model for a vehicle routing problem (VRP is modified. Thus, the automated vehicle routing problem with time windows (AVRPTW model considering path interruption is established. Additionally, an improved particle swarm optimisation (PSO algorithm is designed to solve this problem. Finally, a case study is undertaken to test the validity of the model and the algorithm. Four automated vehicles are designated to execute all delivery tasks required by 25 stores. Capacities of all of the automated vehicles are almost fully utilised. It is of considerable significance for the promotion of automated vehicles in last-mile situations to develop such research into real problems arising in the initial period.
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The evaluation of the overall thermal comfort inside a vehicle
Neacsu, Catalin; Tabacu, Ion; Ivanescu, Mariana; Vieru, Ionel
2017-10-01
The thermal comfort is one of the most important aspects of the modern vehicles that can influence the safety, the fuel consumption and the pollutions regulation. The objective of this paper is to compare the global and absolute thermal comfort indexes for two vehicles with different distribution air systems inside the car cockpit, one using only front air vents, and the other using both front and rear air vents. The methodology of calculus consists in using the 3D model of the interior vehicle, generally in a CAD format. Then, using a meshing software to create the finite element model of the interior surfaces inside the cockpit and the volume of internal air. Using the obtained finite element geometry, there will be conducted a Theseus FE calculus using the given boundary conditions. The results of the numerical simulation are presented in terms of graphs and figures and also PMV, PPD and DTS thermal comfort indexes. With the obtained results, we will then create the graphs that allows us to evaluate the global and absolute thermal comfort indexes. The results of the evaluation show us that the use of the method allow us to evaluate with a greater accuracy the thermal comfort for the whole vehicle, not only for each passenger, like the standard methods. This shows us that in terms of general and absolute thermal comfort, the vehicle that use front and rear systems is better than the version that use only a front system. The thermal comfort is an important aspect to be taken into account from the beginning of the design stage of a vehicle, by choosing the right air conditioning system. In addition, by using the numerical simulation, we are able to reduce the time needed for preliminary tests and be able to provide the vehicle to the market earlier, at a lower development cost.
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Optimization of batteries for plug-in hybrid electric vehicles
English, Jeffrey Robb
This thesis presents a method to quickly determine the optimal battery for an electric vehicle given a set of vehicle characteristics and desired performance metrics. The model is based on four independent design variables: cell count, cell capacity, state-of-charge window, and battery chemistry. Performance is measured in seven categories: cost, all-electric range, maximum speed, acceleration, battery lifetime, lifetime greenhouse gas emissions, and charging time. The performance of each battery is weighted according to a user-defined objective function to determine its overall fitness. The model is informed by a series of battery tests performed on scaled-down battery samples. Seven battery chemistries were tested for capacity at different discharge rates, maximum output power at different charge levels, and performance in a real-world automotive duty cycle. The results of these tests enable a prediction of the performance of the battery in an automobile. Testing was performed at both room temperature and low temperature to investigate the effects of battery temperature on operation. The testing highlighted differences in behavior between lithium, nickel, and lead based batteries. Battery performance decreased with temperature across all samples with the largest effect on nickel-based chemistries. Output power also decreased with lead acid batteries being the least affected by temperature. Lithium-ion batteries were found to be highly efficient (>95%) under a vehicular duty cycle; nickel and lead batteries have greater losses. Low temperatures hindered battery performance and resulted in accelerated failure in several samples. Lead acid, lead tin, and lithium nickel alloy batteries were unable to complete the low temperature testing regime without losing significant capacity and power capability. This is a concern for their applicability in electric vehicles intended for cold climates which have to maintain battery temperature during long periods of inactivity
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Comparison of Different Battery Types for Electric Vehicles
Iclodean, C.; Varga, B.; Burnete, N.; Cimerdean, D.; Jurchiş, B.
2017-10-01
Battery powered Electric Vehicles are starting to play a significant role in today’s automotive industry. There are many types of batteries found in the construction of today’s Electric Vehicles, being hard to decide which one fulfils best all the most important characteristics, from different viewpoints, such as energy storage efficiency, constructive characteristics, cost price, safety and utilization life. This study presents the autonomy of an Electric Vehicle that utilizes four different types of batteries: Lithium Ion (Li-Ion), Molten Salt (Na-NiCl2), Nickel Metal Hydride (Ni-MH) and Lithium Sulphur (Li-S), all of them having the same electric energy storage capacity. The novelty of this scientific work is the implementation of four different types of batteries for Electric Vehicles on the same model to evaluate the vehicle’s autonomy and the efficiency of these battery types on a driving cycle, in real time, digitized by computer simulation.
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76 FR 39477 - Revisions and Additions to Motor Vehicle Fuel Economy Label
2011-07-06
...The Environmental Protection Agency (EPA) and the National Highway Traffic Safety Administration (NHTSA) are issuing a joint final rule establishing new requirements for the fuel economy and environment label that will be posted on the window sticker of all new automobiles sold in the U.S. The labeling requirements apply for model year 2013 and later vehicles with a voluntary manufacturer option for model year 2012. The labeling requirements apply to passenger cars, light-duty trucks, and medium duty passenger vehicles such as larger sport-utility vehicles and vans. The redesigned label provides expanded information to American consumers about new vehicle fuel economy and fuel consumption, greenhouse gas and smog-forming emissions, and projected fuel costs and savings, and also includes a smartphone interactive code that permits direct access to additional Web resources. Specific label designs are provided for gasoline, diesel, ethanol flexible fuel, compressed natural gas, electric, plug-in hybrid electric, and hydrogen fuel cell vehicles. This rulemaking is in response to provisions in the Energy Independence and Security Act of 2007 that imposed several new labeling requirements and new advanced-technology vehicles entering the market. NHTSA and EPA believe that these changes will help consumers to make more informed vehicle purchase decisions, particularly as the future automotive marketplace provides more diverse vehicle technologies from which consumers may choose. These new label requirements do not affect the methodologies that EPA uses to generate consumer fuel economy estimates, or the automaker compliance values for NHTSA's corporate average fuel economy and EPA's greenhouse gas emissions standards. This action also finalizes a number of technical corrections to EPA's light-duty greenhouse gas emission standards program.
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A Study on Electric Vehicle Heat Pump Systems in Cold Climates
Directory of Open Access Journals (Sweden)
Ziqi Zhang
2016-10-01
Full Text Available Electric vehicle heat pumps are drawing more and more attention due to their energy-saving and high efficiency designs. Some problems remain, however, in the usage of the heat pumps in electric vehicles, such as a drainage problem regarding the external heat exchangers while in heat pump mode, and the decrease in heating performance when operated in a cold climate. In this article, an R134a economized vapor injection (EVI heat pump system was built and tested. The drainage problem common amongst external heat exchangers was solved by an optimized 5 mm diameter tube-and-fin heat exchanger, which can meet both the needs of a condenser and evaporator based on simulation and test results. The EVI system was also tested under several ambient temperatures. It was found that the EVI was a benefit to the system heating capacity. Under a −20 °C ambient temperature, an average improvement of 57.7% in heating capacity was achieved with EVI and the maximum capacity was 2097 W, with a coefficient of performance (COP of 1.25. The influences of injection pressure and economizer capacity are also discussed in this article.
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Skilled nursing and rehabilitation facilities - choosing
... gov/ency/patientinstructions/000436.htm Choosing a skilled nursing and rehabilitation facility To use the sharing features ... M. is also a founding member of Hi-Ethics and subscribes to the principles of the Health ...
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... patientinstructions/000861.htm How to choose a health plan To use the sharing features on this page, ... paperwork for tax purposes. How to Compare Health Plans Employers and government sites, such as the Marketplace , ...
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Energy Technology Data Exchange (ETDEWEB)
Cabrerizo Sinca, J.; Campos Cacheda, J.M.; Perez Diez, F.
2016-07-01
The main motivation of the authors of this article is to establish a rigorous definition of the potential capacity that a motor vehicle driver has to avoid a collision against a pedestrian. Henceforth we will call this capacity avoidability. To calculate the avoidability, it is necessary to analyze time, distance and itinerary, initial position of the pedestrian when exposed to the risk, initial speed; theoretical maximum speed developed by the vehicle and road limit speed; the driver’s reaction time and the influence of the environment; and the interrelation of the initial positions of vehicle and pedestrian with respect to the transversal axis of the road. The definition, categorized by variables, of a driver’s ability to avoid run over a pedestrian in an urban area has an evident usefulness: it allows knowing the influence of the initial speed of a vehicle as an isolated variable and the importance of the road limit speed in the ability to prevent an accident. (Author)
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Shortest Paths and Vehicle Routing
DEFF Research Database (Denmark)
Petersen, Bjørn
This thesis presents how to parallelize a shortest path labeling algorithm. It is shown how to handle Chvátal-Gomory rank-1 cuts in a column generation context. A Branch-and-Cut algorithm is given for the Elementary Shortest Paths Problem with Capacity Constraint. A reformulation of the Vehicle...... Routing Problem based on partial paths is presented. Finally, a practical application of finding shortest paths in the telecommunication industry is shown....
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Field Study of Infiltration Capacity Reduction of Porous Mixture Surfaces
Directory of Open Access Journals (Sweden)
Luis A. Sañudo-Fontaneda
2014-03-01
Full Text Available Porous surfaces have been used all over the world in source control techniques to minimize flooding problems in car parks. Several studies highlighted the reduction in the infiltration capacity of porous mixture surfaces after several years of use. Therefore, it is necessary to design and develop a new methodology to quantify this reduction and to identify the hypothetical differences in permeability between zones within the same car park bay due to the influence of static loads in the parked vehicles. With this aim, nine different zones were selected in order to check this hypothesis (four points under the wheels of a standard vehicle and five points between wheels. This article presents the infiltration capacity reduction results, using the LCS permeameter, of Polymer-Modified Porous Concrete (9 bays and Porous Asphalt (9 bays surfaces in the University of Cantabria Campus parking area (Spain 5 years after their construction. Statistical analysis methodology was proposed for assessing the results. Significant differences were observed in permeability and reduction in infiltration capacity in the case of porous concrete surfaces, while no differences were found for porous asphalt depending on the measurement zone.
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Statistical modelling of networked human-automation performance using working memory capacity.
Ahmed, Nisar; de Visser, Ewart; Shaw, Tyler; Mohamed-Ameen, Amira; Campbell, Mark; Parasuraman, Raja
2014-01-01
This study examines the challenging problem of modelling the interaction between individual attentional limitations and decision-making performance in networked human-automation system tasks. Analysis of real experimental data from a task involving networked supervision of multiple unmanned aerial vehicles by human participants shows that both task load and network message quality affect performance, but that these effects are modulated by individual differences in working memory (WM) capacity. These insights were used to assess three statistical approaches for modelling and making predictions with real experimental networked supervisory performance data: classical linear regression, non-parametric Gaussian processes and probabilistic Bayesian networks. It is shown that each of these approaches can help designers of networked human-automated systems cope with various uncertainties in order to accommodate future users by linking expected operating conditions and performance from real experimental data to observable cognitive traits like WM capacity. Practitioner Summary: Working memory (WM) capacity helps account for inter-individual variability in operator performance in networked unmanned aerial vehicle supervisory tasks. This is useful for reliable performance prediction near experimental conditions via linear models; robust statistical prediction beyond experimental conditions via Gaussian process models and probabilistic inference about unknown task conditions/WM capacities via Bayesian network models.
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African primary care research: Choosing a topic and developing a proposal
Directory of Open Access Journals (Sweden)
Bob Mash
2014-02-01
Full Text Available This is the first in a series of articles on primary care research in the African context. The aim of the series is to help build capacity for primary care research amongst the emerging departments of family medicine and primary care on the continent. Many of the departments are developing Masters of Medicine programmes in Family Medicine and their students will all be required to complete research studies as part of their degree. This series is being written with this audience in particular in mind – both the students who must conceptualise and implement a research project as well as their supervisors who must assist them.This article gives an overview of the African primary care context, followed by a typology of primary care research. The article then goes on to assist the reader with choosing a topic and defining their research question. Finally the article addresses the structure and contents of a research proposal and the ethical issues that should be considered.
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Roozegar, M.; Angeles, J.
2018-05-01
In light of the current low energy-storage capacity of electric batteries, multi-speed transmissions (MSTs) are being considered for applications in electric vehicles (EVs), since MSTs decrease the energy consumption of the EV via gear-shifting. Nonetheless, swiftness and seamlessness are the major concerns in gear-shifting. This study focuses on developing a gear-shifting control scheme for a novel MST designed for EVs. The main advantages of the proposed MST are simplicity and modularity. Firstly, the dynamics model of the transmission is formulated. Then, a two-phase algorithm is proposed for shifting between each two gear ratios, which guarantees a smooth and swift shift. In other words, a separate control set is applied for shifting between each gear pair, which includes two independent PID controllers, tuned using trial-and-error and a genetic algorithm (GA), for the two steps of the algorithm and a switch. A supervisory controller is also employed to choose the proper PID gains, called PID gain-scheduling. Simulation results for various controllers and conditions are reported and compared, indicating that the proposed scheme is highly promising for a desired gear-shifting even in the presence of an unknown external disturbance.
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Consumer preference not to choose: Methodological and policy implications
International Nuclear Information System (INIS)
Brennan, Timothy J.
2007-01-01
Residential consumers remain reluctant to choose new electricity suppliers. Even the most successful jurisdictions, four US states and other countries, have had to adopt extensive consumer education procedures that serve largely to confirm that choosing electricity suppliers is daunting. Electricity is not unique in this respect; numerous studies find that consumers are generally reluctant to switch brands, even when they are well-informed about product characteristics. If consumers prefer not to choose, opening regulated markets can reduce welfare, even for some consumers who do switch, as the incumbent can exploit this preference by raising price above the formerly regulated level. Policies to open markets might be successful even if limited to industrial and commercial customers, with residential prices based on those in nominally competitive wholesale markets
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2010-07-01
... Model Year New Gasoline Fueled, Natural Gas-Fueled, Liquefied Petroleum Gas-Fueled and Methanol-Fueled... alternate fueled vehicles. For alternate fueled vehicles (e.g., natural gas, liquefied petroleum gas.... On vehicles with fuel tank capacity greater than 25 gallons, the Administrator may, following a...
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Induced motor vehicle travel from improved fuel efficiency and road expansion
Energy Technology Data Exchange (ETDEWEB)
Su Qing, E-mail: suq1@nku.edu [Department of Marketing, Economics and Sports Business, Northern Kentucky University, AST Center, Office 338, Nunn Drive, Highland Heights, KY 41099 (United States)
2011-11-15
This paper investigates the impact of improved fuel efficiency and road network expansion on motor vehicle travel using a system dynamic panel data estimator and panel data at the state level for the 2001-2008 period. Our model accounts for endogenous changes in fuel efficiency, congestion, fuel cost per mile, and vehicle stock. Our regression results suggest that the short run rebound effect is 0.0276 while the long run rebound effect is 0.11. The short run effect of road capacity per capita is 0.066 while the long run effect is 0.26. - Highlights: > We estimate two effects: the rebound effect and induced travel effect at the state level. > System dynamic panel data approach is used to address endogeneity issue. > In the period of 2001-2008, the rebound effect is 0.0276 in the short run and 0.11 in the long run. > Increase in road capacity induces motor vehicle travel. > Induced travel effect is 0. 0.066 in the short run and 0.26 in the long run.
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Induced motor vehicle travel from improved fuel efficiency and road expansion
International Nuclear Information System (INIS)
Su Qing
2011-01-01
This paper investigates the impact of improved fuel efficiency and road network expansion on motor vehicle travel using a system dynamic panel data estimator and panel data at the state level for the 2001-2008 period. Our model accounts for endogenous changes in fuel efficiency, congestion, fuel cost per mile, and vehicle stock. Our regression results suggest that the short run rebound effect is 0.0276 while the long run rebound effect is 0.11. The short run effect of road capacity per capita is 0.066 while the long run effect is 0.26. - Highlights: → We estimate two effects: the rebound effect and induced travel effect at the state level. → System dynamic panel data approach is used to address endogeneity issue. → In the period of 2001-2008, the rebound effect is 0.0276 in the short run and 0.11 in the long run. → Increase in road capacity induces motor vehicle travel. → Induced travel effect is 0. 0.066 in the short run and 0.26 in the long run.
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On the optimal production capacity for influenza vaccine.
Forslid, Rikard; Herzing, Mathias
2015-06-01
This paper analyzes the profit maximizing capacity choice of a monopolistic vaccine producer facing the uncertain event of a pandemic in a homogenous population of forward-looking individuals. For any capacity level, the monopolist solves the intertemporal price discrimination problem within the dynamic setting generated by the standard mathematical epidemiological model of infectious diseases. Even though consumers are assumed to be identical, the monopolist will be able to exploit the ex post heterogeneity between infected and susceptible individuals by raising the price of vaccine in response to the increasing hazard rate. The monopolist thus bases its investment decision on the expected profits from the optimal price path given the infection dynamics. It is shown that the monopolist will always choose to invest in a lower production capacity than the social planner. Through numerical simulation, it is demonstrated how the loss to society of having a monopoly producer decreases with the speed of infection transmission. Moreover, it is illustrated how the monopolist's optimal vaccination rate increases as its discount rate rises for cost parameters based on Swedish data. However, the effect of the firm discount rate on its investment decision is sensitive to assumptions regarding the cost of production capacity. Copyright © 2014 John Wiley & Sons, Ltd.
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Choosing Fighting Competitors Among Men: Testosterone, Personality, and Motivations.
Borráz-León, Javier I; Cerda-Molina, Ana Lilia; Rantala, Markus J; Mayagoitia-Novales, Lilian
2018-01-01
Higher testosterone levels have been positively related to a variety of social behaviors and personality traits associated with intrasexual competition. The aim of this study was to evaluate the role of testosterone levels and personality traits such as aggressiveness, competitiveness, and self-esteem on the task of choosing a fighting competitor (a rival) with or without a motivation to fight. In Study 1, a group of 119 men participated in a task for choosing a rival through pictures of men with high-dominant masculinity versus low-dominant masculinity. Participants completed three personality questionnaires and donated two saliva samples (pre-test and post-test sample) to quantify their testosterone levels. We found that the probability of choosing high-dominant masculine men as rivals increased with higher aggressiveness scores. In Study 2, the task of choosing rivals was accompanied by motivations to fight (pictures of women with high or low waist-to-hip ratio [WHR]). In this context, we observed that the probability of choosing dominant masculine men as rivals depended on the WHR of the women. Overall, average levels of post-test testosterone, aggressiveness, and high self-esteem increased the probability to fight for women with low WHR independently of the dominance masculinity of the rivals. Our results indicate that human decisions, in the context of intrasexual competition and mate choice, are regulated by physiological and psychological mechanisms allowing men to increase their biological fitness. We discuss our results in the light of the plasticity of human behavior according to biological and environmental forces.
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Role of the superior colliculus in choosing mixed-strategy saccades.
Thevarajah, Dhushan; Mikulić, Areh; Dorris, Michael C
2009-02-18
Game theory outlines optimal response strategies during mixed-strategy competitions. The neural processes involved in choosing individual strategic actions, however, remain poorly understood. Here, we tested whether the superior colliculus (SC), a brain region critical for generating sensory-guided saccades, is also involved in choosing saccades under strategic conditions. Monkeys were free to choose either of two saccade targets as they competed against a computer opponent during the mixed-strategy game "matching pennies." The accuracy with which presaccadic SC activity predicted upcoming choice gradually increased in the time leading up to the saccade. Probing the SC with suprathreshold stimulation demonstrated that these evolving signals were functionally involved in preparing strategic saccades. Finally, subthreshold stimulation of the SC increased the likelihood that contralateral saccades were selected. Together, our results suggest that motor regions of the brain play an active role in choosing strategic actions rather than passively executing those prespecified by upstream executive regions.
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Amphibious vehicles come of age
Energy Technology Data Exchange (ETDEWEB)
Mowers, J.
2007-11-15
This article highlighted the most popular amphibious vehicles used for oil patch applications. The Argo, designed and built by Ontario Drive and Gear Ltd. of New Hamburg, Ontario, was first introduced into the market in 1967. By 1994, it was commonly used by the oil patch when it was made more robust with a liquid-cooled engine. The all-season and all-terrain vehicle can carry up to 1,150 pounds and pull up to 1,800 pounds. More than 40,000 units have been sold for use in seismic, slashing, carrying in supplies for camps, pipeline and other facility maintenance. Its counterpart, the Centaur, has a bigger load capacity and more powerful liquid-cooled petrol or diesel engine that drives like a truck, with steering wheel and gas and brake pedals. It has certified rollover protection, can carry up to 1,500 pounds or pull 2,000 pounds and can travel at speeds of up to 28 miles per hour. The mammoth ARKTOS Craft was designed, engineered and built in British Columbia and can handle any terrain including thick mud, quicksand, muskeg, ice, water and snow. It is primarily used in the oil patch as an evacuation craft for offshore drilling in shallow waters. It has room for 52 passengers. With a 13-ton load capacity, the vehicle can manoeuvre through ice-water mixtures and can climb onto solid ice. Five units are being used as evacuation crafts on stand-by offshore drilling in shallow waters near Alaska, and 8 are being used for the same purpose for drilling beneath the Caspian Sea. It was also used in the Bohai Delta in China for a seismic survey. A modified craft is being developed for use in Fort McMurray's oil sand tailings ponds. This article also highlighted the prototype AmphibAlaska which has been under development for the past 25 years by an Alaskan entrepreneur. The utilitarian vehicle is being designed with a payload that can accommodate a crew of 5 and the gear needed for emergency response and fieldwork. It is designed to travel safely through hard ground
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40 CFR 86.096-24 - Test vehicles and engines.
2010-07-01
... in the Production AMA Durability Program, the engine families covered by an application for...) Method of carburetor sealing. (iii) Method of air cleaner sealing. (iv) Vapor storage working capacity... and light-duty trucks, but does not apply to the production vehicles selected under paragraph (h) of...
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Capacity and Entry Deterrence under Demand Uncertainty
DEFF Research Database (Denmark)
Poddar, Sougata
I consider a two period model with an incumbent firm and a potential entrant each of whom produces a homogeneous good. There is a demand uncertainty: it can be high or low and it realizes in the second period. The question I ask: How by choosing capacity at an earlier period of actual production...... of output and, more importently, not knowing which state of demand is going to realize, and knowing that there is a potential entrant, the incumbent firm can influence the outcome of the game by changing its initial condition. To that end, I study how the impact of the distribution of uncertainty deeply...
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Directory of Open Access Journals (Sweden)
Mário A.P.M. Da Silva
2018-03-01
Full Text Available We show that the setting up of general conditions on complementarity in absorptive capacity gives rise to different, if not opposite Nash equilibrium outcomes to those found when absorptive capacity is assumed to be determined only by the similarity of R&D orientations. Firms that cooperate in R&D can take full-advantage of complementarity in R&D by adopting firm-specific R&D paths, which appears to contradict findings and predictions of existing theoretical literature on R&D and spillovers. Oddly, firms competing in R&D cannot gain the most from the potential of complementarity in knowledge by not choosing firm-specific R&D approaches in equilibrium under even milder conditions, which is contrary to another prediction of existing related models.
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Multi-Stage Transportation Problem With Capacity Limit
Directory of Open Access Journals (Sweden)
I. Brezina
2010-06-01
Full Text Available The classical transportation problem can be applied in a more general way in practice. Related problems as Multi-commodity transportation problem, Transportation problems with different kind of vehicles, Multi-stage transportation problems, Transportation problem with capacity limit is an extension of the classical transportation problem considering the additional special condition. For solving such problems many optimization techniques (dynamic programming, linear programming, special algorithms for transportation problem etc. and heuristics approaches (e.g. evolutionary techniques were developed. This article considers Multi-stage transportation problem with capacity limit that reflects limits of transported materials (commodity quantity. Discussed issues are: theoretical base, problem formulation as way as new proposed algorithm for that problem.
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Choosing The Right Technology - Optimized Design Of Renewable Supply Systems For Residential Houses
DEFF Research Database (Denmark)
Milan, Christian; Bojesen, Carsten; Nielsen, Mads Pagh
2012-01-01
The use of renewable energy sources (RES) has continuously increased throughout the last decade. In the residential building sector the trend goes towards energy supply systems based on multiple RES. This is mainly due to political requirements, governmental subsidies and fuel price development....... These systems not only require an optimal design with respect to the installed capacities but also the right choice in combining the available technologies assuring a cost-effective solution. The aim of this paper is to present an optimization methodology for residential on-site energy supply systems based...... on mixed integer linear programming. The methodology chooses the right combination of technologies and sizes the components based on on-site weather data and expected consumption profiles. Through this approach the fluctuations of RES as well as the user behavior are taken into account already during...
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Dynamic vehicle routing problems: Three decades and counting
DEFF Research Database (Denmark)
Psaraftis, Harilaos N.; Wen, Min; Kontovas, Christos A.
2016-01-01
of DVRP papers according to 11 criteria. These are (1) type of problem, (2) logistical context, (3) transportation mode, (4) objective function, (5) fleet size, (6) time constraints, (7) vehicle capacity constraints, (8) the ability to reject customers, (9) the natureof the dynamic element, (10......Since the late 70s, much research activity has taken place on the class of dynamic vehicle routing problems (DVRP), with the time period after year 2000 witnessing areal explosion in related papers. Our paper sheds more light into work in this area over more than 3 decades by developing a taxonomy......) the nature of the stochasticity (if any), and (11) the solution method. We comment on technological vis-à-vis methodological advances for this class of problems and suggest directions for further research. The latter include alternative objective functions, vehicle speed as decision variable, more explicit...
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Impacts of Electrification of Light-Duty Vehicles in the United States, 2010 - 2017
Energy Technology Data Exchange (ETDEWEB)
Gohlke, David [Argonne National Lab. (ANL), Argonne, IL (United States). Energy Systems Division; Zhou, Yan [Argonne National Lab. (ANL), Argonne, IL (United States). Energy Systems Division
2018-01-25
This report examines the sales of plug-in electric vehicles (PEVs) in the United States from 2010 to 2017, exploring vehicle sales, electricity consumption, petroleum reduction, and battery production, among other factors. Over 750,000 PEVs have been sold, driving nearly 16 billion miles on electricity, thereby reducing gasoline consumption by 0.1% in 2016 and 600 million gallons cumulatively through 2017, while using over 5 terawatt-hours of electricity. Over 23 gigawatt-hours of battery capacity has been placed in vehicles, and 98% of this is still on the road, assuming typical scrappage rates.
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Routing of Electric Vehicles: Case Study of City Distribution in Copenhagen
DEFF Research Database (Denmark)
Linde, Esben; Larsen, Allan; Nørrelund, Anders Vedsted
freight magnitude and the distribution of goods in the old city centre. Based on the survey, analysis of possible UCC locations was carried out using simulation. Distribution from the UCC is assumed to be conducted with electric vehicles (EVs) as they are considered suitable for the overall aim. However...... a tour. Furthermore, intelligent location of these recharging points is considered. The objective is to find a least cost plan for routing and recharging the vehicles so that each customer is serviced by exactly one vehicle within its time windows and the vehicle capacity and driving range constraints...... are satisfied. The EVRPTW is a new problem that only has received little attention in the literature; see for example [2] and [3]. The costs are compared to distribution conducted by conventional vehicles. A heuristic method is developed and tested on the data generated on the basis of real-life collected data...
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DEFF Research Database (Denmark)
Chandrashekhara, Divya K; Østergaard, Jacob; Larsen, Esben
2010-01-01
/conventional) which are likely to fuel these cars. The study was carried out considering the Danish electricity network state around 2025, when the EDV penetration levels would be significant enough to have an impact on the power system. Some of the interesting findings of this study are - EDV have the potential......This paper presents the results of a study carried out to examine the feasibility of integrating electric drive vehicles (EDV) in the Danish electricity network which is characterised by high wind power penetration. One of the main aims of this study was to examine the effect of electric drive...... vehicles on the Danish electricity network, wind power penetration and electricity market. In particular the study examined the effect of electric drive vehicles on the generation capacity constraints, load curve, cross border transmission capacity and the type of generating sources (renewable...
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Choose Privacy Week: Educate Your Students (and Yourself) about Privacy
Adams, Helen R.
2016-01-01
The purpose of "Choose Privacy Week" is to encourage a national conversation to raise awareness of the growing threats to personal privacy online and in day-to-day life. The 2016 Choose Privacy Week theme is "respecting individuals' privacy," with an emphasis on minors' privacy. A plethora of issues relating to minors' privacy…
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Time Dependent Heterogeneous Vehicle Routing Problem for Catering Service Delivery Problem
Azis, Zainal; Mawengkang, Herman
2017-09-01
The heterogeneous vehicle routing problem (HVRP) is a variant of vehicle routing problem (VRP) which describes various types of vehicles with different capacity to serve a set of customers with known geographical locations. This paper considers the optimal service deliveries of meals of a catering company located in Medan City, Indonesia. Due to the road condition as well as traffic, it is necessary for the company to use different type of vehicle to fulfill customers demand in time. The HVRP incorporates time dependency of travel times on the particular time of the day. The objective is to minimize the sum of the costs of travelling and elapsed time over the planning horizon. The problem can be modeled as a linear mixed integer program and we address a feasible neighbourhood search approach to solve the problem.
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Sport, how people choose it: A network analysis approach.
Ferreri, Luca; Ivaldi, Marco; Daolio, Fabio; Giacobini, Mario; Rainoldi, Alberto; Tomassini, Marco
2015-01-01
In order to investigate the behaviour of athletes in choosing sports, we analyse data from part of the We-Sport database, a vertical social network that links athletes through sports. In particular, we explore connections between people sharing common sports and the role of age and gender by applying "network science" approaches and methods. The results show a disassortative tendency of athletes in choosing sports, a negative correlation between age and number of chosen sports and a positive correlation between age of connected athletes. Some interesting patterns of connection between age classes are depicted. In addition, we propose a method to classify sports, based on the analyses of the behaviour of people practising them. Thanks to this brand new classifications, we highlight the links of class of sports and their unexpected features. We emphasise some gender dependency affinity in choosing sport classes.
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Simanullang, Herlin
2013-01-01
Vehicle Routing Problem (VRP) is a problem of combinatorial optimization complexeses that has essential role in management distribution system which is aimed to minimize the needed cost, the cost is determined in relationship with the distance of route which is taken by the distribution vehicle. The characteristic from VRP is the use of vehicle in certain capacity and its activity is centralized in one depot to serve the customer on certain locations with certain known demand. ...
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Iswari, T.; Asih, A. M. S.
2018-04-01
In the logistics system, transportation plays an important role to connect every element in the supply chain, but it can produces the greatest cost. Therefore, it is important to make the transportation costs as minimum as possible. Reducing the transportation cost can be done in several ways. One of the ways to minimizing the transportation cost is by optimizing the routing of its vehicles. It refers to Vehicle Routing Problem (VRP). The most common type of VRP is Capacitated Vehicle Routing Problem (CVRP). In CVRP, the vehicles have their own capacity and the total demands from the customer should not exceed the capacity of the vehicle. CVRP belongs to the class of NP-hard problems. These NP-hard problems make it more complex to solve such that exact algorithms become highly time-consuming with the increases in problem sizes. Thus, for large-scale problem instances, as typically found in industrial applications, finding an optimal solution is not practicable. Therefore, this paper uses two kinds of metaheuristics approach to solving CVRP. Those are Genetic Algorithm and Particle Swarm Optimization. This paper compares the results of both algorithms and see the performance of each algorithm. The results show that both algorithms perform well in solving CVRP but still needs to be improved. From algorithm testing and numerical example, Genetic Algorithm yields a better solution than Particle Swarm Optimization in total distance travelled.
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Intelligent behaviors through vehicle-to-vehicle and vehicle-to-infrastructure communication
Garcia, Richard D.; Sturgeon, Purser; Brown, Mike
2012-06-01
The last decade has seen a significant increase in intelligent safety devices on private automobiles. These devices have both increased and augmented the situational awareness of the driver and in some cases provided automated vehicle responses. To date almost all intelligent safety devices have relied on data directly perceived by the vehicle. This constraint has a direct impact on the types of solutions available to the vehicle. In an effort to improve the safety options available to a vehicle, numerous research laboratories and government agencies are investing time and resources into connecting vehicles to each other and to infrastructure-based devices. This work details several efforts in both the commercial vehicle and the private auto industries to increase vehicle safety and driver situational awareness through vehicle-to-vehicle and vehicle-to-infrastructure communication. It will specifically discuss intelligent behaviors being designed to automatically disable non-compliant vehicles, warn tractor trailer vehicles of unsafe lane maneuvers such as lane changes, passing, and merging, and alert drivers to non-line-of-sight emergencies.
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Leadership in nursing: analysis of the process of choosing the heads.
de Moura, Gisela Maria Schebella Souto; de Magalhaes, Ana Maria Müller; Dall'agnol, Clarice Maria; Juchem, Beatriz Cavalcanti; Marona, Daniela dos Santos
2010-01-01
The process of choosing heads can be strategic to achieve desired results in nursing care. This study presents an exploratory and descriptive research that aims to analyze the process of choosing heads for the ward, in the nursing area of a teaching hospital in Porto Alegre. Data was collected from registered nurses, technicians and nursing auxiliaries through a semi-structured interview technique and free choice of words. Three theme categories emerged from content analysis: process of choosing heads, managerial competences of the head-to-be and team articulation. Leadership was the word most frequently associated with the process of choosing heads. The consultation process for the choice of the leader also contributes to the success of the manager, as it makes the team members feel co-responsible for the results achieved and legitimizes the head-to-be in their group.
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Women Physicians: Choosing a Career in Academic Medicine
Borges, Nicole J.; Navarro, Anita M.; Grover, Amelia C.
2011-01-01
Purpose Despite recent efforts to understand the complex process of physician career development, the medical education community has a poor understanding of why, how, and when women physicians embark on a career in academic medicine. Method In 2010, the authors phone-interviewed women physicians in academic medicine regarding why, how, and when they chose an academic medicine career. Project investigators first individually and then collectively analyzed transcripts to identify themes in the data. Results Through analyzing the transcripts of the 53 interviews, the investigators identified five themes related to why women choose careers in academic medicine: fit, aspects of the academic health center environment, people, exposure, and clincial medicine. They identified five themes related to how women make the decision to enter academic medicine: change in specialty, dissatisfaction with former career, emotionality, parental influence, and decision-making styles. The authors also identified four themes regarding when women decide to enter academic medicine: as a practicing phyisican, fellow, resident, or medical student. Conclusions Choosing a career in academic medicine is greatly influenced by the environment in which one trains and by people—be they faculty, mentors, role models, or family. An interest in teaching is a primary reason women choose a career in academic medicine. Many women physicians entering acadmic medicine chose this after or during fellowship, which is when they became more aware of academic medicine as a possible career. For many women, choosing academic medicine was not necessarily an active, planned decision; rather it was serendipitous or circumstantial. PMID:22104052
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Vehicle Routing Problem Using Genetic Algorithm with Multi Compartment on Vegetable Distribution
Kurnia, Hari; Gustri Wahyuni, Elyza; Cergas Pembrani, Elang; Gardini, Syifa Tri; Kurnia Aditya, Silfa
2018-03-01
The problem that is often gained by the industries of managing and distributing vegetables is how to distribute vegetables so that the quality of the vegetables can be maintained properly. The problems encountered include optimal route selection and little travel time or so-called TSP (Traveling Salesman Problem). These problems can be modeled using the Vehicle Routing Problem (VRP) algorithm with rating ranking, a cross order based crossing, and also order based mutation mutations on selected chromosomes. This study uses limitations using only 20 market points, 2 point warehouse (multi compartment) and 5 vehicles. It is determined that for one distribution, one vehicle can only distribute to 4 market points only from 1 particular warehouse, and also one such vehicle can only accommodate 100 kg capacity.
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Multicriteria vehicle routing problem solved by artificial immune system
Directory of Open Access Journals (Sweden)
Bogna MRÓWCZYŃSKA
2015-09-01
Full Text Available Vehicles route planning in large transportation companies, where drivers are workers, usually takes place on the basis of experience or intuition of the employees. Because of the cost and environmental protection, it is important to save fuel, thus planning routes in an optimal way. In this article an example of the problem is presented solving delivery vans route planning taking into account the distance and travel time within the constraints of vehicle capacities, restrictions on working time of drivers and having varying degrees of movement. An artificial immune system was used for the calculations.
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Synergy of fuzzy AHP and Six Sigma for capacity waste management in Indian automotive industry
Directory of Open Access Journals (Sweden)
Rajeev Rathi
2015-07-01
Full Text Available Capacity waste management is highly essential because under utilization of capacity is often referred to as a major reason for lower productivity among industries around the world. For better estimation of capacity and its utilization and then for its improved management; newer techniques are being devised in industrial sector. The current case of capacity waste problem has been taken up as a Six Sigma project, where we try to analyze critical factors responsible for the capacity waste. Decisions on critical factor selection in analysis phase of Six Sigma are always very crucial. The paper discusses an approach for selection of capacity waste factors at an automotive industry using fuzzy logic based AHP method. The fuzzy AHP is a well recognized tool to undertake the fuzziness of the data involved in choosing the preferences of the different decision variables engaged in the process of capacity waste factors selection. In this context, we have explored six crucial parameters for selection of capacity waste factors. Final ranking is calculated through priority vector thus obtained and it is seen that conveyor malfunction is found to be the key factor for capacity waste among all alternatives at the selected site.
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String Stability of Heterogeneous Platoons with Non-connected Automated Vehicles
Wang, M.; Li, Honghai; GAO, Jian; Huang, Zichao; li, Bin; van Arem, B.
2017-01-01
It is expected that automated vehicles will gradually penetrate on public roads, resulting in mixed traffic in the next decades. This can impact traffic flow operations, especially the roadway capacity and flow stability. It is of paramount
importance to understand and predict the implications -
The social dilemma of autonomous vehicles.
Bonnefon, Jean-François; Shariff, Azim; Rahwan, Iyad
2016-06-24
Autonomous vehicles (AVs) should reduce traffic accidents, but they will sometimes have to choose between two evils, such as running over pedestrians or sacrificing themselves and their passenger to save the pedestrians. Defining the algorithms that will help AVs make these moral decisions is a formidable challenge. We found that participants in six Amazon Mechanical Turk studies approved of utilitarian AVs (that is, AVs that sacrifice their passengers for the greater good) and would like others to buy them, but they would themselves prefer to ride in AVs that protect their passengers at all costs. The study participants disapprove of enforcing utilitarian regulations for AVs and would be less willing to buy such an AV. Accordingly, regulating for utilitarian algorithms may paradoxically increase casualties by postponing the adoption of a safer technology. Copyright © 2016, American Association for the Advancement of Science.
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Choosing wisely-where is the choice?
Directory of Open Access Journals (Sweden)
Robbins RA
2013-06-01
Full Text Available No abstract available. Article truncated at 150 words. A little over a year ago an editorial was posted in the Southwest Journal about the Choosing Wisely campaign from the American Board of Internal Medicine and Consumer Reports (1. You may remember that Choosing Wisely announced a list of procedures or treatments that patients should question (2. In the editorial we wondered why pulmonary organizations such as the American Thoracic Society (ATS and the American College of Chest Physicians authored none of the recommendations and offered 10 suggestions. We also openly questioned if the recommendations were intended to improve patient care or reduce costs, and thus improve the profits of third party carriers. We can now report that recommendations were announced at the recent ATS meeting in Philadelphia. Seven recommendations were made for critical care and seven for pulmonary disease. Five from the critical care list and five from the pulmonary list will eventually be chosen for inclusion in …
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International Nuclear Information System (INIS)
Hu, Chao; Youn, Byeng D.; Chung, Jaesik
2012-01-01
Highlights: ► We develop a mutiscale framework with EKF to estimate SOC and capacity. ► The framework is a hybrid of coulomb counting and adaptive filtering techniques. ► It decouples SOC and capacity estimation in terms of measurement and time-scale. ► Results verify the framework achieves higher accuracy and efficiency than dual EKF. -- Abstract: State-of-charge (SOC) and capacity estimation plays an essential role in many battery-powered applications, such as electric vehicle (EV) and hybrid electric vehicle (HEV). However, commonly used joint/dual extended Kalman filter (EKF) suffers from the lack of accuracy in the capacity estimation since (i) the cell voltage is the only measurable data for the SOC and capacity estimation and updates and (ii) the capacity is very weakly linked to the cell voltage. The lack of accuracy in the capacity estimation may further reduce the accuracy in the SOC estimation due to the strong dependency of the SOC on the capacity. Furthermore, although the capacity is a slowly time-varying quantity that indicates cell state-of-health (SOH), the capacity estimation is generally performed on the same time-scale as the quickly time-varying SOC, resulting in high computational complexity. To resolve these difficulties, this paper proposes a multiscale framework with EKF for SOC and capacity estimation. The proposed framework comprises two ideas: (i) a multiscale framework to estimate SOC and capacity that exhibit time-scale separation and (ii) a state projection scheme for accurate and stable capacity estimation. Simulation results with synthetic data based on a valid cell dynamic model suggest that the proposed framework, as a hybrid of coulomb counting and adaptive filtering techniques, achieves higher accuracy and efficiency than joint/dual EKF. Results of the cycle test on Lithium-ion prismatic cells further verify the effectiveness of our framework.
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Energy Technology Data Exchange (ETDEWEB)
Goetz, Konrad; Sunderer, Georg; Birzle-Harder, Barbara; Deffner, Jutta
2012-07-01
In the research project OPTUM it was analysed to what extent environmental reliefs can be gained by electric cars. For this purpose an integrated approach was pursued, taking into account both considerations on the vehicle side and interactions with the energy sector. In detail the following key questions were analysed: acceptance and attractiveness of electric vehicles, market potentials for electric vehicles, interactions with the energy sector, CO2 reduction potentials for electric mobility, economic analysis of the storage media and resource efficiency of electric mobility. In this report the results concerning the question of acceptance and attractiveness of electric vehicles are presented. In doing so, results of two empirical investigations are described which were carried out in OPTUM to determine the acceptance and attractiveness of electric vehicles. The first one is a qualitative analysis by means of focus group discussions; the second one a standardised survey among buyers of new cars. The standardised survey contained a conjoint analysis, in which the participants had to choose between conventional cars, plug-in-hybrid vehicles and all-electrical cars. The empirical analyses show: There is an enormous potential of acceptance for electric cars (plug-in-hybrids and all-electric vehicles). Depending on scenario and vehicle class, especially for all-electrical cars, a potential of acceptance exists from 12 to 25 percent. Furthermore, both empirical investigations provide indications how the potential of acceptance can be realised or even extended.
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Crewed Space Vehicle Battery Safety Requirements
Jeevarajan, Judith A.; Darcy, Eric C.
2014-01-01
This requirements document is applicable to all batteries on crewed spacecraft, including vehicle, payload, and crew equipment batteries. It defines the specific provisions required to design a battery that is safe for ground personnel and crew members to handle and/or operate during all applicable phases of crewed missions, safe for use in the enclosed environment of a crewed space vehicle, and safe for use in launch vehicles, as well as in unpressurized spaces adjacent to the habitable portion of a space vehicle. The required provisions encompass hazard controls, design evaluation, and verification. The extent of the hazard controls and verification required depends on the applicability and credibility of the hazard to the specific battery design and applicable missions under review. Evaluation of the design and verification program results shall be completed prior to certification for flight and ground operations. This requirements document is geared toward the designers of battery systems to be used in crewed vehicles, crew equipment, crew suits, or batteries to be used in crewed vehicle systems and payloads (or experiments). This requirements document also applies to ground handling and testing of flight batteries. Specific design and verification requirements for a battery are dependent upon the battery chemistry, capacity, complexity, charging, environment, and application. The variety of battery chemistries available, combined with the variety of battery-powered applications, results in each battery application having specific, unique requirements pertinent to the specific battery application. However, there are basic requirements for all battery designs and applications, which are listed in section 4. Section 5 includes a description of hazards and controls and also includes requirements.
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International Nuclear Information System (INIS)
Xu, Liangfei; Mueller, Clemens David; Li, Jianqiu; Ouyang, Minggao; Hu, Zunyan
2015-01-01
Highlights: • A non-linear model regarding fuel economy and system durability of FCEV. • A two-step algorithm for a quasi-optimal solution to a multi-objective problem. • Optimal parameters for DP algorithm considering accuracy and calculating time. • Influences of FC power and battery capacity on system performance. - Abstract: A typical topology of a proton electrolyte membrane (PEM) fuel cell electric vehicle contains at least two power sources, a fuel cell system (FCS) and a lithium battery package. The FCS provides stationary power, and the battery delivers dynamic power. In this paper, we report on the multi-objective optimization problem of powertrain parameters for a pre-defined driving cycle regarding fuel economy and system durability. We introduce the dynamic model for the FCEV. We take into consideration equations not only for fuel economy but also for system durability. In addition, we define a multi-objective optimization problem, and find a quasi-optimal solution using a two-loop framework. In the inside loop, for each group of powertrain parameters, a global optimal energy management strategy based on dynamic programming (DP) is exploited. We optimize coefficients for the DP algorithm to reduce calculating time as well as to maintain accuracy. For the outside loop, we compare the results of all the groups with each other, and choose the Pareto optimal solution based on a compromise of fuel economy and system durability. Simulation results show that for a “China city bus typical cycle,” a battery capacity of 150 Ah and an FCS maximal net output power of 40 kW are optimal for the fuel economy and system durability of a fuel cell city bus.
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International Nuclear Information System (INIS)
Cao, Sunliang
2016-01-01
Highlights: • Integrating a commercial-scale H_2 vehicle (HV) or electric vehicle (EV) into a ZEB. • Simultaneously fulfilling net-zero energy building and absolute-zero energy vehicle. • Energy performance comparison between the ZEBs with HV, EV, and no vehicle. • The energy matching-enhancing solutions for integrating the HV or EV with the ZEB. • Solutions for improving the matching and relieving the negative impact on the grid. - Abstract: The boundary extension of a zero-energy building to integrate a new energy vehicle will facilitate the realization of the target set by the EU 2050 roadmap. In this study, either a hydrogen vehicle (HV) or an electric vehicle (EV) is integrated into a renewable-supported building system with appropriate control strategies. The focused variables in this study are renewable energy capacities, vehicle system options, extents to utilize vehicle storages for domestic purposes, and the Excess REe-HW recharging strategies. The analysing aspects include the energy and environmental impact as well as the energy matching and the grid interactions. The results show that the annual net-zero energy/emission balance can be met by a 16, 12, and 12 kW rated wind turbine, or by a 195.8, 160.2, and 142.4 m"2 PV, for the building with the HV, the EV and no vehicle (NV), respectively. The building with the HV will be more demanding in meeting the balance due to the less efficient HV system than that with the EV. Moreover, better matching for the zero-energy system can be achieved by relieving the condition to discharge the vehicle storages for domestic usages and by using the Excess REe-HW recharging strategy. However, their negative effect will be a slight increase in the annual net-energy consumption, due to an increased loss from both the HV/EV integrated system and the thermal storage.
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Choosing High School Courses with Purpose
Ayotte, Steve; Sevier, Sharon
2010-01-01
In choosing high school courses, students often seem to focus on everything except preparation for an intended major or career. They consider graduation requirements, weighted classes, easy classes...but rarely are these types of choices preparing students for postsecondary education. This article describes the "Career Companion Guide"…
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The remote characterization of vegetation using Unmanned Aerial Vehicle photography
Unmanned Aerial Vehicles (UAVs) can fly in place of piloted aircraft to gather remote sensing information on vegetation characteristics. The type of sensors flown depends on the instrument payload capacity available, so that, depending on the specific UAV, it is possible to obtain video, aerial phot...
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Suitability of the Nanophosphate LiFePO4/C Battery Chemistry for the Fully Electric Vehicle
DEFF Research Database (Denmark)
Swierczynski, Maciej Jozef; Stroe, Daniel Ioan; Stan, Ana-Irina
2014-01-01
, and intrinsic safety of the nanophosphate LiFePO4/C lithium ion chemistry make it possible to consider this chemistry for electric vehicle applications. This paper investigates the lifetime of the nanophosphate LiFePO4/C battery chemistry when it is used for full electrical vehicles. The investigation...... is used to study the capacity and power capability degradation behaviour of the tested nanophosphate LiFePO4/C battery for two electric vehicle operational scenarios....
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Energy Technology Data Exchange (ETDEWEB)
Wood, E.; Neubauer, J.; Brooker, A. D.; Gonder, J.; Smith, K. A.
2012-08-01
Battery wear in plug-in electric vehicles (PEVs) is a complex function of ambient temperature, battery size, and disparate usage. Simulations capturing varying ambient temperature profiles, battery sizes, and driving patterns are of great value to battery and vehicle manufacturers. A predictive battery wear model developed by the National Renewable Energy Laboratory captures the effects of multiple cycling and storage conditions in a representative lithium chemistry. The sensitivity of battery wear rates to ambient conditions, maximum allowable depth-of-discharge, and vehicle miles travelled is explored for two midsize vehicles: a battery electric vehicle (BEV) with a nominal range of 75 mi (121 km) and a plug-in hybrid electric vehicle (PHEV) with a nominal charge-depleting range of 40 mi (64 km). Driving distance distributions represent the variability of vehicle use, both vehicle-to-vehicle and day-to-day. Battery wear over an 8-year period was dominated by ambient conditions for the BEV with capacity fade ranging from 19% to 32% while the PHEV was most sensitive to maximum allowable depth-of-discharge with capacity fade ranging from 16% to 24%. The BEV and PHEV were comparable in terms of petroleum displacement potential after 8 years of service, due to the BEV?s limited utility for accomplishing long trips.
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Choosing a New Telephone System for Your Medical Practice.
Metherell, Brian
2016-01-01
E-mail may rule the world in other types of businesses, but for medical practices, the telephone remains the primary mode of communication with patients, specialists, and pharmacies. From making appointments to calling in prescriptions, telephones are essential to patient care. With technology changing very quickly and new capabilities coming into the medical practice, such as telemedicine and Skype, you need to know your options when choosing a new telephone system. The possibilities include on-site, cloud, and hybrid networked solutions. A wide variety of features and capabilities are available, from dozens of vendors. Of course, no matter what telephone solution you choose, you must meet regulatory compliance, particularly HIPAA, and Payment Card Industry Data Security Standard if you take credit cards. And it has to be affordable, reliable, and long lasting. This article explores what medical practices need to know when choosing a new business telephone system in order to find the right solutions for their businesses.
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Effects of alternative-fuel vehicles on air quality in Ontario, Canada
International Nuclear Information System (INIS)
Kantor, I.; Fowler, M.; Hajimiragha, A.; Canizares, C.; Elkamel, A.
2009-01-01
The economies of the developed world are increasingly including green technologies and processes that consider social, environmental and economic consequences. Hybrid electric vehicles and other fuel-efficient vehicle types can supply consumers with vehicles that decrease their ecological footprint and reduce the cost of fuel. However, one of the societal concerns often overlooked is the impact of alternative-fuel vehicle usage on the air quality in the urban environment. This paper presented a study that assessed the impact on air quality stemming from the operation of alternative fuel vehicles in urban environments. The study specifically focused on the province-wide emissions in Ontario and urban air pollution in the city of Toronto. The paper considered the life-cycle impacts of using alternative fuels for transportation purposes in terms of six major stressors for climate change, acidification and urban air quality. The two types of vehicles that were studied were plug-in hybrid electric vehicles (PHEVs) and fuel cell vehicles. Modeling of the penetration rates for both types of vehicles was completed based on the maximum capacity of the electrical grid including planned improvements. The scope of the study and discussion of health effects was first presented followed by data gathering and usage, methodology, results of supportable penetration and vehicle growth, and pollution abatement results. It was concluded that fuel cell vehicles have an advantage over, or near-equality with, PHEVs in almost every aspect of their emissions. 13 refs., 2 tabs., 10 figs
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Directory of Open Access Journals (Sweden)
Qin Li
2016-04-01
Full Text Available Based on a novel discrete-event zone-control model, in our previous papers [1, 2], we presented a time-efficient traffic control for automated guided vehicle (AGV systems to exclude inter-vehicle collisions and system deadlocks, together with a case study on container terminals. The traffic control allows each vehicle in an AGV system to freely choose its routes for any finite sequence of zone-to-zone transportation tasks and the routes can be constructed in an online fashion. In this paper, we extended our previous results with two practical goals: (1 to increase the utilization of the workspace area by reducing the minimally allowed area of each zone; (2 to avoid vehicle collisions and deadlocks with the occurrence of vehicle breakdowns. To achieve the first goal, we include one extra vehicle event that allows each vehicle to probe further ahead while it is moving on the guide-path. This leads to an extension of our previous discrete-event model and traffic control rules, which are presented in the first part of the paper. The second part of the paper concerns the second goal, for which an emergency traffic control scheme is designed as supplementary to the normal traffic control rules. As in our previous papers, the improved model and traffic control are applied to a simulation of quayside container transshipment at container terminals; our simulation results are compared with those from two interesting works in the literature.
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Increasing the Endurance and Payload Capacity of Unmanned Vehicles with Thin-Film Photovoltaics
2014-06-01
unmanned aerial vehicles (UAV) can be significantly extended using thin film photovoltaic cells. The different power requirements of the RQ-11B...43 Figure 33. A load test of the MPPT /boost controller to confirm the functionality of the power circuit equipment...36 Table 7. The resistance of the surface mounted resistors used for voltage partitioning in the MPPT /boost controller
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Potoglou, Dimitrios
The focus of this thesis is twofold. First, it offers insight on how households' car-ownership behaviour is affected by urban form and availability of local-transit at the place of residence, after controlling for socio-economic and demographic characteristics. Second, it addresses the importance of vehicle attributes, household and individual characteristics as well as economic incentives and urban form to potential demand for alternative fuelled vehicles. Data for the empirical analyses of the aforementioned research activities were obtained through an innovative Internet survey, which is also documented in this thesis, conducted in the Census Metropolitan Area of Hamilton. The survey included a retrospective questionnaire of households' number and type of vehicles and a stated choices experiment for assessing the potential demand for alternative fuelled vehicles. Established approaches and emerging trends in automobile demand modelling identified early on in this thesis suggest a disaggregate approach and specifically, the estimation of discrete choice models both for explaining car ownership and vehicle-type choice behaviour. It is shown that mixed and diverse land uses as well as short distances between home and work are likely to decrease the probability of households to own a large number of cars. Regarding the demand for alternative fuelled vehicles, while vehicle attributes are particularly important, incentives such as free parking and access to high occupancy vehicle lanes will not influence the choice of hybrids or alternative fuelled vehicles. An improved understating of households' behaviour regarding the number of cars as well as the factors and trade-offs for choosing cleaner vehicles can be used to inform policy designed to reduce car ownership levels and encourage adoption of cleaner vehicle technologies in urban areas. Finally, the Internet survey sets the ground for further research on implementation and evaluation of this data collection method.
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Evaluation of duty cycles for heavy-duty urban vehicles : final report of IEA AMF Annex 29
Energy Technology Data Exchange (ETDEWEB)
Nylund, N.O.; Erkkila, K. [VTT Technical Research Centre of Finland, Espoo (Finland); Clark, N. [West Virginia Univ., Morgantown, WV (United States); Rideout, G. [Environment Canada, Ottawa, ON (Canada). Environmental Technology Centre, Emissions Research and Measurement Div
2007-07-01
Heavy-duty vehicles in Europe and North America will require incylinder measures or exhaust gas after-treatment technology to control emissions and meet ever stringent emission requirements. Alternatively, manufacturers can choose clean burning alternative fuels such as natural gas. Although there are no international standards for heavy-duty vehicle chassis dynamometer testing at present, the IEA Implementing Agreements offer excellent platforms for international collaborative research. Harmonization of test methods for vehicles and fuels is one important task. This paper reported on the work of 3 laboratories that have produced emission results for complete heavy-duty vehicles. VTT Technical Research of Finland, Environment Canada and West Virginia University measured standard size urban buses driving various duty cycles on chassis dynamometers. The number of transient test cycles per laboratory varied from 6 to 16. European and North American diesel and natural gas vehicles were included in the vehicle matrix. The objective was to demonstrate how the driving cycle affects the emission performance of conventional and advanced urban buses. Several driving cycles were run on urban buses to better understand the characteristics of different duty cycles; produce a key for cross-interpretation of emission results generated with different cycles; and study the interaction between vehicle, exhaust after-treatment and fuel technologies and test procedures. Fuel consumption and exhaust emissions were measured. The results varied significantly not only by test cycle, but also by vehicle technology. In general, vehicles emissions were directly proportioned to the amount of fuel consumed, with the exception of NOx-emissions from SCR-vehicles. There was a clear difference in the emission profiles of European and North American vehicles. In Europe, fuel efficiency was emphasized, while in North America, more focus was given to regulated exhaust emissions, especially low
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Lignin nanotubes as vehicles for gene delivery into human cells.
Ten, Elena; Ling, Chen; Wang, Yuan; Srivastava, Arun; Dempere, Luisa Amelia; Vermerris, Wilfred
2014-01-13
Lignin nanotubes (LNTs) synthesized from the aromatic plant cell wall polymer lignin in a sacrificial alumina membrane template have as useful features their flexibility, ease of functionalization due to the availability of many functional groups, label-free detection by autofluorescence, and customizable optical properties. In this report we show that the physicochemical properties of LNTs can be varied over a wide range to match requirements for specific applications by using lignin with different subunit composition, a function of plant species and genotype, and by choosing the lignin isolation method (thioglycolic acid, phosphoric acid, sulfuric acid (Klason), sodium hydroxide lignin), which influences the size and reactivity of the lignin fragments. Cytotoxicity studies with human HeLa cells showed that concentrations of up to 90 mg/mL are tolerated, which is a 10-fold higher concentration than observed for single- or multiwalled carbon nanotubes (CNTs). Confocal microscopy imaging revealed that all LNT formulations enter HeLa cells without auxiliary agents and that LNTs made from NaOH-lignin penetrate the cell nucleus. We further show that DNA can adsorb to LNTs. Consequently, exposure of HeLa cells to LNTs coated with DNA encoding the green fluorescent protein (GFP) leads to transfection and expression of GFP. The highest transfection efficiency was obtained with LNTs made from NaOH-lignin due to a combination of high DNA binding capacity and DNA delivery directly into the nucleus. These combined features of LNTs make LNTs attractive as smart delivery vehicles of DNA without the cytotoxicity associated with CNTs or the immunogenicity of viral vectors.
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International Nuclear Information System (INIS)
Shiau, Ching-Shin Norman; Samaras, Constantine; Hauffe, Richard; Michalek, Jeremy J.
2009-01-01
Plug-in hybrid electric vehicle (PHEV) technology is receiving attention as an approach to reducing US dependency on foreign oil and greenhouse gas (GHG) emissions from the transportation sector. PHEVs require large batteries for energy storage, which affect vehicle cost, weight, and performance. We construct PHEV simulation models to account for the effects of additional batteries on fuel consumption, cost, and GHG emissions over a range of charging frequencies (distance traveled between charges). We find that when charged frequently, every 20 miles or less, using average US electricity, small-capacity PHEVs are less expensive and release fewer GHGs than hybrid electric vehicles (HEVs) or conventional vehicles. For moderate charging intervals of 20-100 miles, PHEVs release fewer GHGs, but HEVs have lower lifetime costs. High fuel prices, low-cost batteries, or high carbon taxes combined with low-carbon electricity generation would make small-capacity PHEVs cost competitive for a wide range of drivers. In contrast, increased battery specific energy or carbon taxes without decarbonization of the electricity grid would have limited impact. Large-capacity PHEVs sized for 40 or more miles of electric-only travel do not offer the lowest lifetime cost in any scenario, although they could minimize GHG emissions for some drivers and provide potential to shift air pollutant emissions away from population centers. The tradeoffs identified in this analysis can provide a space for vehicle manufacturers, policymakers, and the public to identify optimal decisions for PHEV design, policy and use. Given the alignment of economic, environmental, and national security objectives, policies aimed at putting PHEVs on the road will likely be most effective if they focus on adoption of small-capacity PHEVs by urban drivers who can charge frequently.
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Design and analysis of truck body for increasing the payload capacity
Vamshi Krishna, K.; Yugandhar Reddy, K.; Venugopal, K.; Ravi, K.
2017-11-01
Truck industry is a major source of transportation in India. With an average truck travelling about 300 kilometers per day [1], every kilogram of truck weight is of concern to the industry in order to get the best out of the truck. The main objective of this project is to increase the payload capacity of automotive truck body. Every kilogram of increased vehicle weight will decrease the vehicle payload capacity in turn increasing the manufacturing cost and reducing the fuel economy by increase the fuel consumption. With the intension of weight reduction, standard truck body has been designed and analyzed in ANSYS software. C-cross section beams were used instead of conventional rectangular box sections to reduce the weight of the body. Light-weight Aluminum alloy Al 6061 T6 is used to increase the payload capacity. The strength of the Truck platform is monitored in terms of deformation and stress concentration. These parameters will be obtained in structural analysis test condition environment. For reducing the stress concentration the concept of beams of uniform strength is used. Accordingly necessary modifications are done so that the optimized model has a better stress distribution and much lesser weight compared to the conventional model. The results obtained by analyzing the modified model are compared with the standard model.
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Batteries for electric road vehicles.
Goodenough, John B; Braga, M Helena
2018-01-15
The dependence of modern society on the energy stored in a fossil fuel is not sustainable. An immediate challenge is to eliminate the polluting gases emitted from the roads of the world by replacing road vehicles powered by the internal combustion engine with those powered by rechargeable batteries. These batteries must be safe and competitive in cost, performance, driving range between charges, and convenience. The competitive performance of an electric car has been demonstrated, but the cost of fabrication, management to ensure safety, and a short cycle life have prevented large-scale penetration of the all-electric road vehicle into the market. Low-cost, safe all-solid-state cells from which dendrite-free alkali-metal anodes can be plated are now available; they have an operating temperature range from -20 °C to 80 °C and they permit the design of novel high-capacity, high-voltage cathodes providing fast charge/discharge rates. Scale-up to large multicell batteries is feasible.
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Mars Sample Return: Mars Ascent Vehicle Mission and Technology Requirements
Bowles, Jeffrey V.; Huynh, Loc C.; Hawke, Veronica M.; Jiang, Xun J.
2013-01-01
A Mars Sample Return mission is the highest priority science mission for the next decade recommended by the recent Decadal Survey of Planetary Science, the key community input process that guides NASAs science missions. A feasibility study was conducted of a potentially simple and low cost approach to Mars Sample Return mission enabled by the use of developing commercial capabilities. Previous studies of MSR have shown that landing an all up sample return mission with a high mass capacity lander is a cost effective approach. The approach proposed is the use of an emerging commercially available capsule to land the launch vehicle system that would return samples to Earth. This paper describes the mission and technology requirements impact on the launch vehicle system design, referred to as the Mars Ascent Vehicle (MAV).
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Measurement of Vehicle Air Conditioning Pull-Down Period
Energy Technology Data Exchange (ETDEWEB)
Thomas, John F [ORNL; Huff, Shean P [ORNL; Moore, Larry G [ORNL; West, Brian H [ORNL
2016-08-01
Air conditioner usage was characterized for high heat-load summer conditions during short driving trips using a 2009 Ford Explorer and a 2009 Toyota Corolla. Vehicles were parked in the sun with windows closed to allow the cabin to become hot. Experiments were conducted by entering the instrumented vehicles in this heated condition and driving on-road with the windows up and the air conditioning set to maximum cooling, maximum fan speed and the air flow setting to recirculate cabin air rather than pull in outside humid air. The main purpose was to determine the length of time the air conditioner system would remain at or very near maximum cooling power under these severe-duty conditions. Because of the variable and somewhat uncontrolled nature of the experiments, they serve only to show that for short vehicle trips, air conditioning can remain near or at full cooling capacity for 10-minutes or significantly longer and the cabin may be uncomfortably warm during much of this time.
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Drag reduction of a rapid vehicle in supercavitating flow
Directory of Open Access Journals (Sweden)
D. Yang
2017-01-01
Full Text Available Supercavitation is one of the most attractive technologies to achieve high speed for underwater vehicles. However, the multiphase flow with high-speed around the supercavitating vehicle (SCV is difficult to simulate accurately. In this paper, we use modified the turbulent viscosity formula in the Standard K-Epsilon (SKE turbulent model to simulate the supercavitating flow. The numerical results of flow over several typical cavitators are in agreement with the experimental data and theoretical prediction. In the last part, a flying SCV was studied by unsteady numerical simulation. The selected computation setup corresponds to an outdoor supercavitating experiment. Only very limited experimental data was recorded due to the difficulties under the circumstance of high-speed underwater condition. However, the numerical simulation recovers the whole scenario, the results are qualitatively reasonable by comparing to the experimental observations. The drag reduction capacity of supercavitation is evaluated by comparing with a moving vehicle launching at the same speed but without supercavitation. The results show that the supercavitation reduces the drag of the vehicle dramatically.
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Directory of Open Access Journals (Sweden)
Niancheng Zhou
2014-08-01
Full Text Available The influence of electric vehicle charging stations on power grid harmonics is becoming increasingly significant as their presence continues to grow. This paper studies the operational principles of the charging current in the continuous and discontinuous modes for a three-phase uncontrolled rectification charger with a passive power factor correction link, which is affected by the charging power. A parameter estimation method is proposed for the equivalent circuit of the charger by using the measured characteristic AC (Alternating Current voltage and current data combined with the charging circuit constraints in the conduction process, and this method is verified using an experimental platform. The sensitivity of the current harmonics to the changes in the parameters is analyzed. An analytical harmonic model of the charging station is created by separating the chargers into groups by type. Then, the harmonic current amplification caused by the shunt active power filter is researched, and the analytical formula for the overload factor is derived to further correct the capacity of the shunt active power filter. Finally, this method is validated through a field test of a charging station.
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Performansi Algoritma CODEQ dalam Penyelesaian Vehicle Routing Problem
Directory of Open Access Journals (Sweden)
Annisa Kesy Garside
2014-01-01
Full Text Available Genetic Algorithm, Tabu Search, Simulated Annealing, and Ant Colony Optimization showed a good performance in solving vehicle routing problem. However, the generated solution of those algorithms was changeable regarding on the input parameter of each algorithm. CODEQ is a new, parameter free meta-heuristic algorithm that had been successfully used to solve constrained optimization problems, integer programming, and feed-forward neural network. The purpose of this research are improving CODEQ algorithm to solve vehicle routing problem and testing the performance of the improved algorithm. CODEQ algorithm is started with population initiation as initial solution, generated of mutant vector for each parent in every iteration, replacement of parent by mutant when fitness function value of mutant is better than parent’s, generated of new vector for each iteration based on opposition value or chaos principle, replacement of worst solution by new vector when fitness function value of new vector is better, iteration ceasing when stooping criterion is achieved, and sub-tour determination based on vehicle capacity constraint. The result showed that the average deviation of the best-known and the best-test value is 6.35%. Therefore, CODEQ algorithm is good in solving vehicle routing problem.
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Choosing a Geothermal as an HVAC System.
Lensenbigler, John D.
2002-01-01
Describes the process of selecting and installing geothermal water source heat pumps for new residence halls at Johnson Bible College in Knoxville, Tennessee, including choosing the type of geothermal design, contractors, and interior equipment, and cost and payback. (EV)
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Lamdjaya, T.; Jobiliong, E.
2017-01-01
PT Anugrah Citra Boga is a food processing industry that produces meatballs as their main product. The distribution system of the products must be considered, because it needs to be more efficient in order to reduce the shipment cost. The purpose of this research is to optimize the distribution time by simulating the distribution channels with capacitated vehicle routing problem method. Firstly, the distribution route is observed in order to calculate the average speed, time capacity and shipping costs. Then build the model using AIMMS software. A few things that are required to simulate the model are customer locations, distances, and the process time. Finally, compare the total distribution cost obtained by the simulation and the historical data. It concludes that the company can reduce the shipping cost around 4.1% or Rp 529,800 per month. By using this model, the utilization rate can be more optimal. The current value for the first vehicle is 104.6% and after the simulation it becomes 88.6%. Meanwhile, the utilization rate of the second vehicle is increase from 59.8% to 74.1%. The simulation model is able to produce the optimal shipping route with time restriction, vehicle capacity, and amount of vehicle.
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Traffic lanes for vehicles of mass public passenger transport on city streets
Directory of Open Access Journals (Sweden)
Gladović Pavle V.
2015-01-01
Full Text Available Some of the basic measures of regulating public mass passenger transport in a city network are the introduction and management of traffic lanes reserved for the public transportation. These traffic lanes are important for several reasons: faster moving and shorter travelling time for the vehicles, reducing operating costs, improving the safety, increasing passenger comfort, maintaining of the timetable quality, etc. In most cities, an intensive use of the public transport is concentrated in the morning and the afternoon peak period. The state of the public transport system during these periods is reflected in the crowds inside the vehicles, long vehicle queues at intersections and at bus stops, which cause congestion on the streets and result in delays of public transport vehicles. This paper provides an overview of the current situation on an example in the city of Belgrade. The capacity and the quality of service for the street surfaces reserved for the public transportation vehicles were analysed on the aforementioned example.
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Cooperative vehicle control, feature tracking and ocean sampling
Fiorelli, Edward A.
This dissertation concerns the development of a feedback control framework for coordinating multiple, sensor-equipped, autonomous vehicles into mobile sensing arrays to perform adaptive sampling of observed fields. The use of feedback is central; it maintains the array, i.e. regulates formation position, orientation, and shape, and directs the array to perform its sampling mission in response to measurements taken by each vehicle. Specifically, we address how to perform autonomous gradient tracking and feature detection in an unknown field such as temperature or salinity in the ocean. Artificial potentials and virtual bodies are used to coordinate the autonomous vehicles, modelled as point masses (with unit mass). The virtual bodies consist of linked, moving reference points called virtual leaders. Artificial potentials couple the dynamics of the vehicles and the virtual bodies. The dynamics of the virtual body are then prescribed allowing the virtual body, and thus the vehicle group, to perform maneuvers that include translation, rotation and contraction/expansion, while ensuring that the formation error remains bounded. This methodology is called the Virtual Body and Artificial Potential (VBAP) methodology. We then propose how to utilize these arrays to perform autonomous gradient climbing and front tracking in the presence of both correlated and uncorrelated noise. We implement various techniques for estimation of gradients (first-order and higher), including finite differencing, least squares error minimization, averaging, and Kalman filtering. Furthermore, we illustrate how the estimation error can be used to optimally choose the formation size. To complement our theoretical work, we present an account of sea trials performed with a fleet of autonomous underwater gliders in Monterey Bay during the Autonomous Ocean Sampling Network (AOSN) II project in August 2003. During these trials, Slocum autonomous underwater gliders were coordinated into triangle
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Energy Technology Data Exchange (ETDEWEB)
Zhu, Lei [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Holden, Jacob [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Gonder, Jeffrey D [National Renewable Energy Laboratory (NREL), Golden, CO (United States)
2017-12-06
The green routing strategy instructing a vehicle to select a fuel-efficient route benefits the current transportation system with fuel-saving opportunities. This paper introduces a navigation API route fuel-saving evaluation framework for estimating fuel advantages of alternative API routes based on large-scale, real-world travel data for conventional vehicles (CVs) and hybrid electric vehicles (HEVs). The navigation APIs, such Google Directions API, integrate traffic conditions and provide feasible alternative routes for origin-destination pairs. This paper develops two link-based fuel-consumption models stratified by link-level speed, road grade, and functional class (local/non-local), one for CVs and the other for HEVs. The link-based fuel-consumption models are built by assigning travel from a large number of GPS driving traces to the links in TomTom MultiNet as the underlying road network layer and road grade data from a U.S. Geological Survey elevation data set. Fuel consumption on a link is calculated by the proposed fuel consumption model. This paper envisions two kinds of applications: 1) identifying alternate routes that save fuel, and 2) quantifying the potential fuel savings for large amounts of travel. An experiment based on a large-scale California Household Travel Survey GPS trajectory data set is conducted. The fuel consumption and savings of CVs and HEVs are investigated. At the same time, the trade-off between fuel saving and time saving for choosing different routes is also examined for both powertrains.
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ELECTROMAGNETIC BIOSPHERE POLLUTION BY MOTOR TRANSPORT (VEHICLES, ELECTRIC VEHICLES, HYBRID VEHICLES
Directory of Open Access Journals (Sweden)
S. Selivanov
2009-01-01
Full Text Available The physics of the electromagnetic field is considered. The analysis of electromagnetic radiation on the human-being, the origin of which is the vehicle the electric vehicle, the hybrid vehicle is being considered. The monitoring of electromagnetic radiation of vehicles is carried out.
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Wood preservatives : choosing the right one
Matt Humphries; Stan Lebow; David Moses
2009-01-01
If you are having trouble choosing the right wood preservative system for your application, you are not alone. Dozens of products are available, some older types have gone out of use, others may be completely inappropriate for your application. As designers, specifiers and builders, you need to understand key information to be able to navigate through all of these...
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Environmental Benefits of Using Wind Generation to Power Plug-In Hybrid Electric Vehicles
Directory of Open Access Journals (Sweden)
Mahdi Hajian
2011-08-01
Full Text Available As alternatives to conventional vehicles, Plug-in Hybrid Electric Vehicles (PHEVs running off electricity stored in batteries could decrease oil consumption and reduce carbon emissions. By using electricity derived from clean energy sources, even greater environmental benefits are obtainable. This study examines the potential benefits arising from the widespread adoption of PHEVs in light of Alberta’s growing interest in wind power. It also investigates PHEVs’ capacity to mitigate natural fluctuations in wind power generation.
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Energy Technology Data Exchange (ETDEWEB)
Williamson, S.S [Concordia Univ., Montreal, PQ (Canada). Dept. of Electrical and Computer Engineering, P.D Ziogas Power Electronics Laboratory
2007-07-01
The high voltage energy storage system in plug-in hybrid electric vehicles (PHEVs) is usually a rechargeable type that service a dual purpose, notably to supplement the power delivered by the internal combustion engine, and to provide partial propulsion energy from an off-board source of electricity. The energy storage devices in electric vehicles typically improve vehicle efficiency through engine downsizing and by recapturing braking energy. However, since PHEVs have the ability to recharge their energy storage systems directly from the power grid, the periods of all-electric operation can be extended, thereby reducing the dependence on the internal combustion engine. This is particularly useful in city driving conditions. Developers of PHEV technology are faced with the challenge of choosing the appropriate energy storage battery in order to improve the all-electric drive range. In this study, control strategies were modeled for specific driving load conditions using the Advanced Vehicle Simulator (ADVISOR) software. This paper presented specific control algorithms for PHEV operation for various city driving loads. The optimal design strategy considered the improvement of critical energy storage parameters, overall drive train efficiency, and vehicle performance characteristics. Future trends in the design and development of PHEV drive trains were also presented. 13 figs.
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Close Look at Hybrid Vehicle Loyalty and Ownership
Energy Technology Data Exchange (ETDEWEB)
Hwang, Ho-Ling [ORNL; Chin, Shih-Miao [ORNL; Wilson, Daniel W [ORNL; Oliveira Neto, Francisco Moraes [ORNL; Taylor, Rob D [ORNL
2013-01-01
initially released their findings. In this brief review, the team has looked at factors that might contribute to a consumer choosing to not purchase a hybrid; including the increase in manufacture s overall vehicle mpg and the percentage of the vehicle market owned by hybrids.
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Electric energy storage systems for future hybrid vehicles
Energy Technology Data Exchange (ETDEWEB)
Kemper, Hans; Huelshorst, Thomas [FEV Motorentechnik GmbH, Aachen (Germany); Sauer, Dirk Uwe [Elektrochemische Energiewandlung und Speichersystemtechnik, ISEA, RWTH Aachen Univ. (Germany)
2008-07-01
Electric energy storage systems play a key role in today's and even more in future hybrid and electric vehicles. They enable new additional functionalities like Start/Stop, regenerative braking or electric boost and pure electric drive. This article discusses properties and requirements of battery systems like power provision, energy capacity, life time as a function of the hybrid concepts and the real operating conditions of the today's and future hybrid drivetrains. Battery cell technology, component sizing, system design, operating strategy safety measures and diagnosis, modularity and vehicle integration are important battery development topics. A final assessment will draw the conclusion that future drivetrain concepts with higher degree of electrician will be significantly dependent on the progress of battery technology. (orig.)
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Energy Technology Data Exchange (ETDEWEB)
Sullivan, P.; Eurek, K.; Margolis, R.
2014-07-01
Because solar power is a rapidly growing component of the electricity system, robust representations of solar technologies should be included in capacity-expansion models. This is a challenge because modeling the electricity system--and, in particular, modeling solar integration within that system--is a complex endeavor. This report highlights the major challenges of incorporating solar technologies into capacity-expansion models and shows examples of how specific models address those challenges. These challenges include modeling non-dispatchable technologies, determining which solar technologies to model, choosing a spatial resolution, incorporating a solar resource assessment, and accounting for solar generation variability and uncertainty.
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Acting on One's Attitudes: The Role of a History of Choosing Situations.
DeBono, Kenneth G.; Snyder, Mark
1995-01-01
Three investigations examined the contributions of a history of choosing attitudinally relevant situations to attitude-behavior relations. Results point to an interrelated set of mechanisms, such as behavior, by which situational choice is linked to attitude-behavior relations. By choosing attitudinally relevant situations, individuals increase…
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Capacity Analysis of Ro-Ro Terminals by Using Simulation Modeling Method
Directory of Open Access Journals (Sweden)
Emin Deniz Özkan
2016-09-01
Full Text Available In Ro-Ro terminals, terminal capacity is more needed than other types of marine terminals since Ro-Ro cargoes cannot be stacked. In this sense, the variables affecting capacity of a Ro-Ro terminal can be listed as follows; number of vehicles arrived to a terminal, distance between terminals, ship capacity, terminal gates, customs control units, terminal traffic and local traffic, security check, bunkering services etc. In this study, a model generated intended for making capacity analysis in Ro-Ro terminals by using simulation modeling method. Effect of three variables to terminal capacity was investigated while generating the scenarios; ‘number of trucks arriving to terminals’, ‘distance between terminals’ and ‘Ro-Ro ship capacity’. The results show that the variable which affect terminal capacity mostly is ‘number of trucks arriving to terminals’. As a consequence of this situation, it is thought that a Ro-Ro terminal operator must prioritize the demand factor and make an effective demand forecasting in determination of the terminal area.
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BEARING CAPACITY OF A HORIZONTALLY LOADED SINGLE PILE SUPPORT WITH SLEEPERS
Directory of Open Access Journals (Sweden)
Buslov Anatoliy Semenovich
2015-09-01
Full Text Available The supports of a overhead wiring used in transport take up substantial loads both because of wires and constructions holding them and wind, dynamic and other extraordinary impacts. In case of using single-member piles a question about their stability appears. For this reason different sleepers constructions are used. In order to improve the bearing capacity of horizontally loaded single pile supports of the contact systems used in urban, road and rail transport, power lines, etc.., it is recommended to use sleepers as horizontally laid under the ground in the depth of support beams. The calculation methods for different support sleepers of different lengths and cross sections are not well investigated. The proposed calculation method allows determining the carrying capacity of horizontally loaded bearings with soil pieces of different structural dimensions and their location in the soil, which allows choosing the best option for cost and material consumption. The calculations offered by the authors prove the efficiency of sleepers use in order to increase the bearing capacity of horizontally loaded piles and the possibility to chose their size.
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Choosing the Right Fireplace or Fireplace Retrofit Device
This page is about choosing a fireplace or fireplace retrofit device, including information on hang tags and a list of fireplaces and retrofits that have qualified under the voluntary fireplace program
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Simulation of hybrid vehicle propulsion with an advanced battery model
Energy Technology Data Exchange (ETDEWEB)
Nallabolu, S.; Kostetzer, L.; Rudnyi, E. [CADFEM GmbH, Grafing (Germany); Geppert, M.; Quinger, D. [LION Smart GmbH, Frieding (Germany)
2011-07-01
of the increase in the battery weight and capacity on vehicle performance is evaluated. An optimum number of modules in the battery are determined for minimum fuel consumption and maximum power. In the second case study a comparative study of the fuel consumption and fuel economy of the vehicle for various drive cycles (Ex: City and Highway etc.) is performed. The energy losses in each subsystem in the vehicle are also determined and the results are discussed qualitatively. (orig.)
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Pricing of Vehicle-to-Grid Services in a Microgrid by Nash Bargaining Theory
Sarparandeh, Mohammad Hossein; Ehsan, Mehdi
2017-01-01
Owners of electric vehicles (EVs) can offer the storage capacity of their batteries to the operator of a microgrid as a service called vehicle-to-grid (V2G) to hold the balance between supply and demand of electricity, particularly when the microgrid has intermittent renewable energy sources. Literature review implies that V2G has economic benefits for both microgrid operator and EV owners, but it is unclear how these benefits are divided between them. The challenge grows when the policy make...
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Quantum Effects of Mesoscopic Inductance and Capacity Coupling Circuits
International Nuclear Information System (INIS)
Liu Jianxin; Yan Zhanyuan; Song Yonghua
2006-01-01
Using the quantum theory for a mesoscopic circuit based on the discretenes of electric charges, the finite-difference Schroedinger equation of the non-dissipative mesoscopic inductance and capacity coupling circuit is achieved. The Coulomb blockade effect, which is caused by the discreteness of electric charges, is studied. Appropriately choose the components in the circuits, the finite-difference Schroedinger equation can be divided into two Mathieu equations in p-circumflex representation. With the WKBJ method, the currents quantum fluctuations in the ground states of the two circuits are calculated. The results show that the currents quantum zero-point fluctuations of the two circuits are exist and correlated.
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Research on Vehicle Temperature Regulation System Based on Air Convection Principle
Zhuge, Muzi; Li, Xiang; Liang, Caifeng
2018-03-01
The long time parking outdoors in the summer will lead to too high temperature in the car, and the harmful gas produced by the vehicle engine will stay in the confined space for a long time during the parking process, which will do great harm to the human body. If the air conditioning system is turned on before driving, the cooling rate is slow and the battery loss is large. To solve the above problems, we designed a temperature adjusting system based on the principle of air convection. We can choose the automatic mode or manual mode to achieve control of a convection window. In the automatic mode, the system will automatically detect the environmental temperature, through the sensor to complete the detection, and the signal is transmitted to the microcontroller to control the window open or close, in manual mode, the remote control of the window can be realized by Bluetooth. Therefore, the system has important practical significance to effectively regulate temperature, prolong battery life, and improve the safety and comfort of traffic vehicles.
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Directory of Open Access Journals (Sweden)
Haijian Bai
2017-01-01
Full Text Available Considering the complexity of lane changing using automated vehicles and the frequency of turning lanes in city settings, this paper aims to generate an accelerated lane-changing trajectory using vehicle-to-vehicle collaboration (V2VC. Based on the characteristics of accelerated lane changing, we used a polynomial method and cooperative strategies for trajectory planning to establish a lane-changing model under different degrees of collaboration with the following vehicle in the target lane by considering vehicle kinematics and comfort requirements. Furthermore, considering the shortcomings of the traditional elliptical vehicle and round vehicle models, we established a rectangular vehicle model with collision boundary conditions by analysing the relationships between the possible collision points and the outline of the vehicle. Then, we established a simulation model for the accelerated lane-changing process in different environments under different degrees of collaboration. The results show that, by using V2VC, we can achieve safe accelerated lane-changing trajectories and simultaneously satisfy the requirements of vehicle kinematics and comfort control.
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Optimal recharge and driving strategies for a battery-powered electric vehicle
Directory of Open Access Journals (Sweden)
Lee W. R.
1999-01-01
Full Text Available A major problem facing battery-powered electric vehicles is in their batteries: weight and charge capacity. Thus, a battery-powered electric vehicle only has a short driving range. To travel for a longer distance, the batteries are required to be recharged frequently. In this paper, we construct a model for a battery-powered electric vehicle, in which driving strategy is to be obtained such that the total travelling time between two locations is minimized. The problem is formulated as an optimization problem with switching times and speed as decision variables. This is an unconventional optimization problem. However, by using the control parametrization enhancing technique (CPET, it is shown that this unconventional optimization is equivalent to a conventional optimal parameter selection problem. Numerical examples are solved using the proposed method.
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Directory of Open Access Journals (Sweden)
Ezzeddine Fatnassi
2017-01-01
Full Text Available The Personal Rapid Transit is a new emergent transportation tool. It relies on using a set of small driverless electric vehicles to transport people on demand. Because of the specific on-demand characteristic of the Personal Rapid Transit system, many Personal Rapid Transit vehicles would move empty which results in a high level of wasted transportation capacity. This is enhanced while using Personal Rapid Transit vehicles with limited electric battery capacity. This paper deals with this problem in a real time context while minimizing the set of empty vehicle movements. First, a mathematical formulation to benchmark waiting time of passengers in Personal Rapid Transit systems is proposed. Then, a simulation model that captures the main features of the Personal Rapid Transit system is developed. A decision support system which integrates several real time solution strategies as well as a simulation module is proposed. Our dispatching strategies are evaluated and compared based on our simulation model. The efficiency of our method is tested through extensive test studies.
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Mock-up tests of rail-mounted vehicle type in-vessel transporter/manipulator
International Nuclear Information System (INIS)
Oka, K.; Kakaudate, S.; Fukatsu, S.
1995-01-01
A rail-mounted vehicle system has been developed for remote maintenance of in-vessel components for fusion experimental reactor. In this system, a rail deploying/storing system is installed at outside of the reactor core and used to deploy a rail transporter and vehicle/manipulator for the in-vessel maintenance. A prototype of the rail deploying/storing system has been fabricated for mockup tests. This paper describes structural design of the prototypical rail deploying/storing system and results of the performance tests such as payload capacity, position control and rail deployment/storage performance
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International Nuclear Information System (INIS)
Whitefoot, Kate S.; Skerlos, Steven J.
2012-01-01
The recently amended U.S. Corporate Average Fuel Economy (CAFE) standards determine fuel-economy targets based on the footprint (wheelbase by track width) of vehicles such that larger vehicles have lower fuel-economy targets. This paper considers whether these standards create an incentive for firms to increase vehicle size by presenting an oligopolistic-equilibrium model in which automotive firms can modify vehicle dimensions, implement fuel-saving technology features, and trade off acceleration performance and fuel economy. Wide ranges of scenarios for consumer preferences are considered. Results suggest that the footprint-based CAFE standards create an incentive to increase vehicle size except when consumer preference for vehicle size is near its lower bound and preference for acceleration is near its upper bound. In all other simulations, the sales-weighted average vehicle size increases by 2–32%, undermining gains in fuel economy by 1–4 mpg (0.6–1.7 km/L). Carbon-dioxide emissions from these vehicles are 5–15% higher as a result (4.69×10 11 –5.17×10 11 kg for one year of produced vehicles compared to 4.47×10 11 kg with no size changes), which is equivalent to adding 3–10 coal-fired power plants to the electricity grid each year. Furthermore, results suggest that the incentive is larger for light trucks than for passenger cars, which could increase traffic safety risks. - Highlights: ► New U.S. fuel-economy standards may create an incentive to increase vehicle size. ► We model firms as choosing vehicle designs and prices in oligopolistic equilibrium. ► Vehicle size increases 2–32% for 20 out of 21 scenarios of consumer preferences. ► Increases in size reduce fuel economy gains from 5–13%, resulting in 5–15% higher CO 2 emissions. ► Incentive is larger for trucks than cars, which may increase traffic safety risks.
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A CNN-Based Method of Vehicle Detection from Aerial Images Using Hard Example Mining
Directory of Open Access Journals (Sweden)
Yohei Koga
2018-01-01
Full Text Available Recently, deep learning techniques have had a practical role in vehicle detection. While much effort has been spent on applying deep learning to vehicle detection, the effective use of training data has not been thoroughly studied, although it has great potential for improving training results, especially in cases where the training data are sparse. In this paper, we proposed using hard example mining (HEM in the training process of a convolutional neural network (CNN for vehicle detection in aerial images. We applied HEM to stochastic gradient descent (SGD to choose the most informative training data by calculating the loss values in each batch and employing the examples with the largest losses. We picked 100 out of both 500 and 1000 examples for training in one iteration, and we tested different ratios of positive to negative examples in the training data to evaluate how the balance of positive and negative examples would affect the performance. In any case, our method always outperformed the plain SGD. The experimental results for images from New York showed improved performance over a CNN trained in plain SGD where the F1 score of our method was 0.02 higher.
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Vehicle transmission gear 2009; Getriebe in Fahrzeugen 2009
Energy Technology Data Exchange (ETDEWEB)
NONE
2009-07-01
: functionality, design and development methodology (A. Giacometti); (18) DCT system approach: Choose drive away and shift feeling (O. Einfinger); (19) An example for the use of adaptive methods in powertrain control of heavy duty vehicles (C. Joachim); (20) The effect of lubricating oils on bearing fatigue-life using the Evonik RohMax pitting test procedure (T. Bartels); (21) Influence of lubricant on the pitting capacity of gears - Comparison and discussion of main pitting test methods (B.-R. Hoehn); (22) Reduction of CO{sub 2} emission by means of innovative, tailor-made gear oils (P. Kraneburg); (23) Development of a force element for the emulation of the dynamic behaviour of bevel gears (C. Brecher); (24) A simulation software for the optimisation of the gearing of conical toothed gears (H. Alxneit); (25) Fatigue life optimization for hypoid gears (Ch. Haberer); (26) BorgWarner DualTronic {sup registered} transmission concepts for efficiency, cost and robustness (A. Moser); (27) Hy Tronic - The hybrid system for distributor commercial vehicles on the bases of a modular NKW gear family (S. Wallner); (28) New drive axles for hybrid applications in low-floor city busses (U. Solka); (29) Design, construction and integration of hybrid drive components in commercial vehicles (S. Kerschl); (30) Cold trip to chassis roller dyno (J. Lewis); (31) Model-based development of a dual-clutch transmission using rapid prototyping and SiL (H. Brueckmann); (31) New synchroniser system for modern transmissions (O. Back); (32) Improving shift dynamics and efficiency of MTs, AMTs and DCTs using full servo synchronizers (T. Hackl); (33) N{sup T} {sup registered} LightDiff: Innovative, lightweight concept for bevel-gear differentials (M. Derse); (34) Hybrid concepts of the co-operation GETRAG-BOSCH and their realisation in a demonstrator car (B. Blankenbach); (35) The conservation potential of consumption of the ZF hybrid gear system (R. Kubalczyk); (36) FEV's new parallel hybrid transmission
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Suomalainen, J.M.; Anders, N.S.; Iqbal, S.; Roerink, G.J.; Franke, G.J.; Wenting, P.F.M.; Hünniger, D.; Bartholomeus, H.; Becker, R.; Kooistra, L.
2014-01-01
During the last years commercial hyperspectral imaging sensors have been miniaturized and their performance has been demonstrated on Unmanned Aerial Vehicles (UAV). However currently the commercial hyperspectral systems still require minimum payload capacity of approximately 3 kg, forcing usage of
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Sensor Architecture and Task Classification for Agricultural Vehicles and Environments
Directory of Open Access Journals (Sweden)
Francisco Rovira-Más
2010-12-01
Full Text Available The long time wish of endowing agricultural vehicles with an increasing degree of autonomy is becoming a reality thanks to two crucial facts: the broad diffusion of global positioning satellite systems and the inexorable progress of computers and electronics. Agricultural vehicles are currently the only self-propelled ground machines commonly integrating commercial automatic navigation systems. Farm equipment manufacturers and satellite-based navigation system providers, in a joint effort, have pushed this technology to unprecedented heights; yet there are many unresolved issues and an unlimited potential still to uncover. The complexity inherent to intelligent vehicles is rooted in the selection and coordination of the optimum sensors, the computer reasoning techniques to process the acquired data, and the resulting control strategies for automatic actuators. The advantageous design of the network of onboard sensors is necessary for the future deployment of advanced agricultural vehicles. This article analyzes a variety of typical environments and situations encountered in agricultural fields, and proposes a sensor architecture especially adapted to cope with them. The strategy proposed groups sensors into four specific subsystems: global localization, feedback control and vehicle pose, non-visual monitoring, and local perception. The designed architecture responds to vital vehicle tasks classified within three layers devoted to safety, operative information, and automatic actuation. The success of this architecture, implemented and tested in various agricultural vehicles over the last decade, rests on its capacity to integrate redundancy and incorporate new technologies in a practical way.
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Constrained capacity management and cost minimisation of EV-charging in a parking garage
Kamphuis, I.G.; Macdougall, P.; Veen, W. van der; Bakker, E.; Velde, J. van de
2013-01-01
Apart from the optimal real-time electricity price to buy the electricity, the optimal, time dependent, capacity contracted with the DSO is of crucial importance for concerted charging of electric vehicles in a parking garage. The battery management system, on its turn, imposes constraints on the
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PREDICTIVE CAPACITY OF ARCH FAMILY MODELS
Directory of Open Access Journals (Sweden)
Raphael Silveira Amaro
2016-03-01
Full Text Available In the last decades, a remarkable number of models, variants from the Autoregressive Conditional Heteroscedastic family, have been developed and empirically tested, making extremely complex the process of choosing a particular model. This research aim to compare the predictive capacity, using the Model Confidence Set procedure, than five conditional heteroskedasticity models, considering eight different statistical probability distributions. The financial series which were used refers to the log-return series of the Bovespa index and the Dow Jones Industrial Index in the period between 27 October 2008 and 30 December 2014. The empirical evidences showed that, in general, competing models have a great homogeneity to make predictions, either for a stock market of a developed country or for a stock market of a developing country. An equivalent result can be inferred for the statistical probability distributions that were used.
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DEFF Research Database (Denmark)
Henriksen, Sidsel; Buschhardt, Tasja; Hansen, Tina Beck
2014-01-01
tubes, enabling simultaneous testing of biological triplicates under varying conditions. Surprisingly, we found that less buffered media provided higher protection of Salmonella, compared to media with high buffer capacity. By investigating the relative gene expression of rpoS and ompR encoding for two...... Heart Infusion Broth having a higher buffer capacity. We suggest this to be associated with a varying ability of Salmonella Typhimurium to mount a stationary phase acid tolerance response (ATR) depending on the buffer capacity of the food vehicle....
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Farmers' management capacities as a success factor in agriculture: A review
Directory of Open Access Journals (Sweden)
Vukelić Nataša
2014-01-01
Full Text Available Farms operating under more or less similar environmental and socio-economic conditions often reflect significant differences in production and economic results they achieve. Such differences are most commonly attributed to: biological factors, the level of specialization, the intensity of production, the size of farms and/or implemented production practice, etc. It is considered that the differences in achieved results, that is, the success of a farm can be, to a large extent, explained by variations in farmers' management capacities. Management capacities can be defined as possession of appropriate personal characteristics and capabilities of farmers (managers to cope with specific problems and opportunities at the right time and in the right way. With the changes taking place within the modern agricultural production, it is becoming more and more difficult to maintain competitive advantages, thus the farmers are progressively confronted with the requirements for certain management capacities which will enable them to take advantage of the existing conditions in the best possible way, i.e. to choose and implement the optimal production practice. As the management capacities are rarely explicitly defined and quantified, particularly when it comes to agricultural producers, the aim of this study is to provide a review of the previous research in this field while highlighting the significance of these issues.
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Jerk analysis in rail vehicle dynamics
Directory of Open Access Journals (Sweden)
Sunil Kumar Sharma
2016-09-01
Full Text Available The acceleration and deceleration of trains are essential for satisfactory performance of train services and for effective utilisation of line capacity by railways for a given network. However, it increases the risk of unbalancing the passengers. Therefore, in this paper, the jerk was analysed in the vehicle in order to examine its effect on safety and comfort to the passengers. For the purpose of this analysis, a rake with 24 ICF coaches fitted with CBC (H type tight lock and low preload draft gear hauled by WDP4 locomotive was considered. It was modelled using Universal Mechanism – a multibody dynamic software. Also, in addition, the vehicle is considered to be subjected to external forces such as rolling resistance, longitudinal wheel resistance, and gravitational force. The tractive and braking efforts for the locomotives are also considered with realistic track conditions between Lucknow and Kanpur of India. The presented results suggest that the CBC with balanced type draft gear reduces the jerk in the train.
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Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV
International Nuclear Information System (INIS)
Zhang Yong; Yu Yifeng; Zou Bai
2011-01-01
The aim of this paper is to analyze consumers' awareness towards electric vehicle (EV) and examine the factors that are most likely to affect consumers' choice for EV in China. A comprehensive questionnaire survey has been conducted with 299 respondents from various driving schools in Nanjing. Three binary logistic regression models were used to determine the factors that contribute to consumers' acceptance of EVs, their purchase time and their purchase price. The results suggest that: (1)Whether a consumer chooses an EV is significantly influenced by the number of driver's licenses, number of vehicles, government policies and fuel price. (2)The timing of consumers' purchases of an EV is influenced by academic degree, annual income, number of vehicles, government policies, the opinion of peers and tax incentives. (3)The acceptance of purchase price of EVs is influenced by age, academic degree, number of family members, number of vehicles, the opinion of peers, maintenance cost and degree of safety. These findings will help understand consumer's purchase behavior of EVs and have important policy implications related to the promotions of EVs in China. - Highlights: → We survey 299 respondents from various driving schools in Nanjing. → We analyze consumer's awareness towards electric vehicle (EV). → The factors affecting consumers' choice for EV are examined by three binary logistic models. → Factors contributing to consumers' acceptance of EVs, purchase time and purchase price are indicated.
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International Nuclear Information System (INIS)
Wang, M.Q.; Marr, W.W.
1994-01-01
Electric vehicles (EVs) can reduce greenhouse gas emissions, relative to emissions from gasoline-fueled vehicles. However, those studies have not considered all aspects that determine greenhouse gas emissions from both gasoline vehicles (GVs) and EVs. Aspects often overlooked include variations in vehicle trip characteristics, inclusion of all greenhouse gases, and vehicle total fuel cycle. In this paper, we estimate greenhouse gas emission reductions for EVs, including these important aspects. We select four US cities (Boston, Chicago, Los Angeles, and Washington, D.C.) and six countries (Australia, France, Japan, Norway, the United Kingdom, and the United States) and analyze greenhouse emission impacts of EVs in each city or country. We also select six driving cycles developed around the world (i.e., the US federal urban driving cycle, the Economic Community of Europe cycle 15, the Japanese 10-mode cycle, the Los Angeles 92 cycle, the New York City cycle, and the Sydney cycle). Note that we have not analyzed EVs in high-speed driving (e.g., highway driving), where the results would be less favorable to EVs; here, EVs are regarded as urban vehicles only. We choose one specific driving cycle for a given city or country and estimate the energy consumption of four-passenger compact electric and gasoline cars in the given city or country. Finally, we estimate total fuel cycle greenhouse gas emissions of both GVs and EVs by accounting for emissions from primary energy recovery, transportation, and processing; energy product transportation; and powerplant and vehicle operations
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Picking and Choosing the ‘Sovereign’Border
DEFF Research Database (Denmark)
Parker, Noel; Adler-Nissen, Rebecca
2012-01-01
We argue that the continued persistence of borders is an effect of their constitutive role for the many dimensions of a social particular. States cannot choose to have a border; but they can and do make choices amongst the materials available on the various planes of inscription for bordering. Fo...
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Effects of vehicle power on passenger vehicle speeds.
McCartt, Anne T; Hu, Wen
2017-07-04
During the past 2 decades, there have been large increases in mean horsepower and the mean horsepower-to-vehicle weight ratio for all types of new passenger vehicles in the United States. This study examined the relationship between travel speeds and vehicle power, defined as horsepower per 100 pounds of vehicle weight. Speed cameras measured travel speeds and photographed license plates and drivers of passenger vehicles traveling on roadways in Northern Virginia during daytime off-peak hours in spring 2013. The driver licensing agencies in the District of Columbia, Maryland, and Virginia provided vehicle information numbers (VINs) by matching license plate numbers with vehicle registration records and provided the age, gender, and ZIP code of the registered owner(s). VINs were decoded to obtain the curb weight and horsepower of vehicles. The study focused on 26,659 observed vehicles for which information on horsepower was available and the observed age and gender of drivers matched vehicle registration records. Log-linear regression estimated the effects of vehicle power on mean travel speeds, and logistic regression estimated the effects of vehicle power on the likelihood of a vehicle traveling over the speed limit and more than 10 mph over the limit. After controlling for driver characteristics, speed limit, vehicle type, and traffic volume, a 1-unit increase in vehicle power was associated with a 0.7% increase in mean speed, a 2.7% increase in the likelihood of a vehicle exceeding the speed limit by any amount, and an 11.6% increase in the likelihood of a vehicle exceeding the limit by 10 mph. All of these increases were highly significant. Speeding persists as a major factor in crashes in the United States. There are indications that travel speeds have increased in recent years. The current findings suggest the trend toward substantially more powerful vehicles may be contributing to higher speeds. Given the strong association between travel speed and crash
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Load calculation and system evaluation for electric vehicle climate control
International Nuclear Information System (INIS)
Aceves-Saborio, S.; Comfort, W.J.
1994-01-01
Providing air conditioning for electric vehicles (EV's) represents an important challenge, because vapor-compression air conditioners, which are common in gasoline-powered vehicles, may consume a substantial part of the total energy stored in the EV battery. The authors' work has two major parts: a cooling and heating load calculation for EV's, and an evaluation of several systems that can be used to provide the desired cooling and heating in EV's. Four cases are studied: short-range and full-range EV's are each analyzed twice, first with the regular vehicle equipment, and then with a fan and heat-reflecting windows, to reduce hot soak. Results indicate that for the batteries currently available for EV propulsion, an ice storage system has the minimum weight of all the systems considered. Vapor-compression air conditioners have the minimum for battery storage capacities above 270 kJ/kg
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Energy Technology Data Exchange (ETDEWEB)
Lam, Long
2011-08-23
In this thesis the development of the state of health of Li-ion battery cells under possible real-life operating conditions in electric cars has been characterised. Furthermore, a practical circuit-based model for Li-ion cells has been developed that is capable of modelling the cell voltage behaviour under various operating conditions. The Li-ion cell model can be implemented in simulation programs and be directly connected to a model of the rest of the electronic system in electric vehicles. Most existing battery models are impractical for electric vehicle system designers and require extensive background knowledge of electrochemistry to be implemented. Furthermore, many models do not take the effect of regenerative braking into account and are obtained from testing fully charged cells. However, in real-life applications electric vehicles are not always fully charged and utilise regenerative braking to save energy. To obtain a practical circuit model based on real operating conditions and to model the state of health of electric vehicle cells, numerous 18650 size LiFePO4 cells have been tested under possible operating conditions. Capacity fading was chosen as the state of health parameter, and the capacity fading of different cells was compared with the charge processed instead of cycles. Tests have shown that the capacity fading rate is dependent on temperature, charging C-rate, state of charge and depth of discharge. The obtained circuit model is capable of simulating the voltage behaviour under various temperatures and C-rates with a maximum error of 14mV. However, modelling the effect of different temperatures and C-rates increases the complexity of the model. The model is easily adjustable and the choice is given to the electric vehicle system designer to decide which operating conditions to take into account. By combining the test results for the capacity fading and the proposed circuit model, recommendations to optimise the battery lifetime are proposed.
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Penerapan Konsep Vehicle Routing Problem dalam Kasus Pengangkutan Sampah di Perkotaan
Directory of Open Access Journals (Sweden)
Harun Al Rasyid Lubis
2016-12-01
Full Text Available Cities in developing countries still operate a traditional waste transport and handling where rubbish were collected at regular intervals by specialized trucks from curb-side collection or transfer point prior to transport them to a final dump site. The problem are worsening as some cities experience exhausted waste collection services because the system is inadequately managed, fiscal capacity to invest in adequate vehicle fleets is lacking and also due to uncontrolled dumpsites location. In this paper problem of waste collection and handling is formulated based on Capacitated Vehicle Routing Problem Time Window Multiple Depo Intermediete Facility (CVRPTWMDIF. Each vehicle was assigned to visit several intermediate transfer points, until the truck loading or volume capacity reached then waste are transported to final landfill or dump site. Finally all trucks will return to a depot at the end of daily operation. Initially the solution of CVRPTWMDIF problem was tested on a simple hypothetical waste handling before being implemented into a real case problem. Solutions found using CVRPTWMDIF compared with the practice of waste transport and handling in the city of Bandung. Based on a common hours of operation and the same number of transport fleets, it was found that CVRPTWMDIF can reduce the volume of waste that is not transported by almost half by the end of the daily operations.
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Developing particulate thin filter using coconut fiber for motor vehicle emission
Wardoyo, A. Y. P.; Juswono, U. P.; Riyanto, S.
2016-03-01
Amounts of motor vehicles in Indonesia have been recognized a sharply increase from year to year with the increment reaching to 22 % per annum. Meanwhile motor vehicles produce particulate emissions in different sizes with high concentrations depending on type of vehicles, fuels, and engine capacity. Motor Particle emissions are not only to significantly contribute the atmosphric particles but also adverse to human health. In order to reduce the particle emission, it is needed a filter. This study was aimed to develop a thin filter using coconut fiber to reduce particulate emissions for motor vehicles. The filter was made of coconut fibers that were grinded into power and mixed with glues. The filter was tested by the measurements of particle concentrations coming out from the vehicle exhaust directly and the particle concentrations after passing through the filter. The efficiency of the filter was calculated by ratio of the particle concentrations before comming in the filter to the particle conentrations after passing through the filter. The results showed that the efficiency of the filter obtained more than 30 %. The efficiency increases sharply when a number of the filters are arranged paralelly.
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Electric vehicle equipment for grid-integrated vehicles
Kempton, Willett
2013-08-13
Methods, systems, and apparatus for interfacing an electric vehicle with an electric power grid are disclosed. An exemplary apparatus may include a station communication port for interfacing with electric vehicle station equipment (EVSE), a vehicle communication port for interfacing with a vehicle management system (VMS), and a processor coupled to the station communication port and the vehicle communication port to establish communication with the EVSE via the station communication port, receive EVSE attributes from the EVSE, and issue commands to the VMS to manage power flow between the electric vehicle and the EVSE based on the EVSE attributes. An electric vehicle may interface with the grid by establishing communication with the EVSE, receiving the EVSE attributes, and managing power flow between the EVE and the grid based on the EVSE attributes.
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Second Life for Electric Vehicle Batteries: Answering Questions on Battery Degradation and Value
Energy Technology Data Exchange (ETDEWEB)
Neubauer, J. S.; Wood, E.; Pesaran, A.
2015-05-04
Battery second use – putting used plug-in electric vehicle (PEV) batteries into secondary service following their automotive tenure – has been proposed as a means to decrease the cost of PEVs while providing low cost energy storage to other fields (e.g. electric utility markets). To understand the value of used automotive batteries, however, we must first answer several key questions related to National Renewable Energy Laboratory (NREL) has developed a methodology and the requisite tools to answer these questions, including NREL’s Battery Lifetime Simulation Tool (BLAST). Herein we introduce these methods and tools, and demonstrate their application. We have found that capacity fade from automotive use has a much larger impact on second use value than resistance growth. Where capacity loss is driven by calendar effects more than cycling effects, average battery temperature during automotive service – which is often driven by climate – is found to be the single factor with the largest effect on remaining value. Installing hardware and software capabilities onboard the vehicle that can both infer remaining battery capacity from in-situ measurements, as well as track average battery temperature over time, will thereby facilitate the second use of automotive batteries.
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DEFF Research Database (Denmark)
Hu, Junjie; Morais, Hugo; Sousa, Tiago
2017-01-01
-VPPs, considering the case of EVs charging and discharging. The three mechanisms include: (1) a market-based approach; (2) a pro-rata approach; and (3) a newly-proposed constrained market-based approach. A case study considering a 37-bus distribution network and high penetration of electric vehicles is presented...
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How to Choose the Best Skin Care Products
... Skin Care Products How to Choose the Best Skin Care Products Looking for a quick fix to erase wrinkles, ... available, the beauty aisle can be overwhelming. Some skin care products are overpriced and make claims they can’t ...
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Marketing of electric vehicles
International Nuclear Information System (INIS)
Gaerling, A.; Thoegersen, J.
2001-01-01
Substituting electric vehicles for traditional ones could reduce local pollution and greenhouse emissions from the transportation system. However, these societal benefits come at high costs to the owner of the EV in terms of price, driving range, availability, loading capacity, speed and acceleration. In addition, the usability of an EV is hampered by the lack of an infrastructure for recharging. Such a product hardly sells itself to potential customers. Besides supportive national policies, skillful marketing is needed to get it accepted and diffused throughout society. This paper outlines a two-phase strategy for the marketing of EVs based on a discussion of current and expected future characteristics of EVs and on a review of research on early adopters. (author)
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A Column Generation for the Heterogeneous Fixed Fleet Open Vehicle Routing Problem
Directory of Open Access Journals (Sweden)
Majid Yousefikhoshbakht
2017-07-01
Full Text Available This paper addressed the heterogeneous fixed fleet open vehicle routing problem (HFFOVRP, in which the vehicles are not required to return to the depot after completing a service. In this new problem, the demands of customers are fulfilled by a heterogeneous fixed fleet of vehicles having various capacities, fixed costs and variable costs. This problem is an important variant of the open vehicle routing problem (OVRP and can cover more practical situations in transportation and logistics. Since this problem belongs to NP-hard Problems, An approach based on column generation (CG is applied to solve the HFFOVRP. A tight integer programming model is presented and the linear programming relaxation of which is solved by the CG technique. Since there have been no existing benchmarks, this study generated 19 test problems and the results of the proposed CG algorithm is compared to the results of exact algorithm. Computational experience confirms that the proposed algorithm can provide better solutions within a comparatively shorter period of time.
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Hyper-X Vehicle Model - Side View
1996-01-01
A side-view of an early desk-top model of NASA's X-43A 'Hyper-X,' or Hypersonic Experimental Vehicle, which has been developed to flight test a dual-mode ramjet/scramjet propulsion system at speeds from Mach 7 up to Mach 10 (7 to 10 times the speed of sound, which varies with temperature and altitude). Hyper-X, the flight vehicle for which is designated as X-43A, is an experimental flight-research program seeking to demonstrate airframe-integrated, 'air-breathing' engine technologies that promise to increase payload capacity for future vehicles, including hypersonic aircraft (faster than Mach 5) and reusable space launchers. This multiyear program is currently underway at NASA Dryden Flight Research Center, Edwards, California. The Hyper-X schedule calls for its first flight later this year (2000). Hyper-X is a joint program, with Dryden sharing responsibility with NASA's Langley Research Center, Hampton, Virginia. Dryden's primary role is to fly three unpiloted X-43A research vehicles to validate engine technologies and hypersonic design tools as well as the hypersonic test facility at Langley. Langley manages the program and leads the technology development effort. The Hyper-X Program seeks to significantly expand the speed boundaries of air-breathing propulsion by being the first aircraft to demonstrate an airframe-integrated, scramjet-powered free flight. Scramjets (supersonic-combustion ramjets) are ramjet engines in which the airflow through the whole engine remains supersonic. Scramjet technology is challenging because only limited testing can be performed in ground facilities. Long duration, full-scale testing requires flight research. Scramjet engines are air-breathing, capturing their oxygen from the atmosphere. Current spacecraft, such as the Space Shuttle, are rocket powered, so they must carry both fuel and oxygen for propulsion. Scramjet technology-based vehicles need to carry only fuel. By eliminating the need to carry oxygen, future hypersonic
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Hyper-X Vehicle Model - Front View
1996-01-01
A front view of an early desk-top model of NASA's X-43A 'Hyper-X,' or Hypersonic Experimental Vehicle, which has been developed to flight test a dual-mode ramjet/scramjet propulsion system at speeds from Mach 7 up to Mach 10 (7 to 10 times the speed of sound, which varies with temperature and altitude). Hyper-X, the flight vehicle for which is designated as X-43A, is an experimental flight-research program seeking to demonstrate airframe-integrated, 'air-breathing' engine technologies that promise to increase payload capacity for future vehicles, including hypersonic aircraft (faster than Mach 5) and reusable space launchers. This multiyear program is currently underway at NASA Dryden Flight Research Center, Edwards, California. The Hyper-X schedule calls for its first flight later this year (2000). Hyper-X is a joint program, with Dryden sharing responsibility with NASA's Langley Research Center, Hampton, Virginia. Dryden's primary role is to fly three unpiloted X-43A research vehicles to validate engine technologies and hypersonic design tools as well as the hypersonic test facility at Langley. Langley manages the program and leads the technology development effort. The Hyper-X Program seeks to significantly expand the speed boundaries of air-breathing propulsion by being the first aircraft to demonstrate an airframe-integrated, scramjet-powered free flight. Scramjets (supersonic-combustion ramjets) are ramjet engines in which the airflow through the whole engine remains supersonic. Scramjet technology is challenging because only limited testing can be performed in ground facilities. Long duration, full-scale testing requires flight research. Scramjet engines are air-breathing, capturing their oxygen from the atmosphere. Current spacecraft, such as the Space Shuttle, are rocket powered, so they must carry both fuel and oxygen for propulsion. Scramjet technology-based vehicles need to carry only fuel. By eliminating the need to carry oxygen, future hypersonic
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A PRECISE POSITION AND ATTITUDE DETERMINATION SYSTEM FOR LIGHTWEIGHT UNMANNED AERIAL VEHICLES
Directory of Open Access Journals (Sweden)
C. Eling
2013-08-01
Full Text Available In many unmanned aerial vehicle (UAV applications a direct georeferencing is required. The reason can be that the UAV flies autonomous and must be navigated precisely, or that the UAV performs a remote sensing operation, where the position of the camera has to be known at the moment of the recording. In our application, a project called Mapping on Demand, we are motivated by both of these reasons. The goal of this project is to develop a lightweight autonomously flying UAV that is able to identify and measure inaccessible three-dimensional objects by use of visual information. Due to payload and space limitations, precise position and attitude determination of micro- and mini-sized UAVs is very challenging. The limitations do not only affect the onboard computing capacity, but they are also noticeable when choosing the georeferencing sensors. In this article, we will present a new developed onboard direct georeferencing system which is real-time capable, applicable for lightweight UAVs and provides very precise results (position accuracy σ σ < 0.5 deg. In this system GPS, inertial sensors, magnetic field sensors, a barometer as well as stereo video cameras are used as georeferencing sensors. We will describe the hardware development and will go into details of the implemented software. In this context especially the RTK-GPS software and the concept of the attitude determination by use of inertial sensors, magnetic field sensors as well as an onboard GPS baseline will be highlighted. Finally, results of first field tests as well as an outlook on further developments will conclude this contribution.
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Directory of Open Access Journals (Sweden)
Du Chongyang
2015-01-01
Full Text Available Electric vehicles are the most potential transports in the future. However, the large scale of charging facilities will make a great influence on gird. There is a need to make a research on the construction of charging facilities. Based on the power demand characteristics of electric vehicle charging, distribution network capacity, charging system performance and other aspects, this paper mainly researched the deployment strategy of charging piles. First, the authors built up a model with characteristics of charging power demand of electric vehicle and a model of charging service system. The characteristic of daily load curve is analyzed. Second, based on these works, the authors designed the progress of strategy making. At last, the progress was verified by the actual use case.
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Cloud Computing and the Power to Choose
Bristow, Rob; Dodds, Ted; Northam, Richard; Plugge, Leo
2010-01-01
Some of the most significant changes in information technology are those that have given the individual user greater power to choose. The first of these changes was the development of the personal computer. The PC liberated the individual user from the limitations of the mainframe and minicomputers and from the rules and regulations of centralized…
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Electric road vehicles in the field of tension between technology, ecology and society
International Nuclear Information System (INIS)
Schaefer, H.
1993-01-01
The increasing mobility of people has resulted in a growing air pollution, particularly in the inner cities. There will only be an improvement if environmentally friendly modes of transport are introduced, as people will not lower their mobility expectations. This is approached by e.g. electric-powered vehicles, which today have reached a very high technical standard. Distances of up to 30 km make up 90% of the total traffic, which is at the same time 44% of the driving capacity. This can presently be achieved by most electric-powered vehicles without any recharging. In the context of this article ordinary and electric-powered vehicles are compared with one another regarding their energy consumption as well as their exhaust emission. (BWI) [de
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Directory of Open Access Journals (Sweden)
Xiaomeng Li
2012-01-01
Full Text Available The operational efficiency and safety of pedestrian flows at intersections is an important aspect of urban traffic. Particularly, conflicts between pedestrians and vehicles in crosswalk are one of the most influential factors for intersection safety. This paper presents a cellular automata model that simulates pedestrian and vehicle crossing behaviors at signalized intersections. Through the simulation, we investigate the effects of different pedestrian signal timing and crosswalk widths on the crosswalk capacity, the number of traffic conflicts between pedestrians and vehicles, and pedestrian delay due to the conflicts. The simulation results indicate that the cellular automata is an effective simulation platform for investigating complex pedestrian-related traffic phenomenon at signalized intersections.
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Factors influencing Zimbabwean physiotherapy students in choosing physiotherapy as a career
T. Mkondo; W. Mudzi; N. P. Mbambo
2007-01-01
People join professions for different reasons and the same applies to physiotherapists. The aim of the study was to identify the reasons for choosing physiotherapy as a career by Zimbabwean physiotherapy students. The study used a descriptive cross-sectional design where a questionnaire was administered to 60 students. Data were collected on the demographics of the students and also on their rating on the importance of 12 factors for their influence in them choosing physiotherapy as a career....
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Proceedings of the EV2010 electric vehicles conference and trade show
Energy Technology Data Exchange (ETDEWEB)
Elwood, M. [Electric Mobility Canada, Mississauga, ON (Canada); Dubois-Phillips, M. [BC Hydro, Vancouver, BC (Canada)] (comps.)
2010-07-01
This conference provided a forum to address the challenges facing the adoption of electric vehicles (EV) in Canada. Topics of discussions ranged from the Canadian public's levels of awareness of EVs, motivators to adoption of EVs and barriers to broader acceptance and market diffusion of EVs. Five sessions related to vehicle technologies focused on vehicles and their components, energy storage, power management, testing and operating conditions. Three sessions on infrastructure and other readiness measures, focused on grid capacity and impacts, charging infrastructure and the vehicle/grid interface. Four sessions on public policies and institutional changes focused on how EVs are a critical pathway to address peak oil and greenhouse gases, and that public policy is needed to support adoption of the technology. Four sessions on commercialization and environmental impacts focused on market forecasts, the need for EVs and on business models used by EV manufacturers to promote the technology and explain the environmental benefits. The conference featured 65 presentations, of which 20 have been catalogued separately for inclusion in this database. refs., tabs., figs.
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Choosing between rocks, hard places and a lot more. The economic interface
International Nuclear Information System (INIS)
Haldorsen, H.H.
1996-01-01
The most central aspects of the oil and gas business are exploration (is there oil or gas?), production (market?, infrastructure?, how fast can we produce, and how much can we recover?), licence and tax regulations (acceptable and stable?, incentive systems?), safety, health and environmental concerns, and the future oil price (will the oil business remain an attractive business-segment to invest in, will we obtain a satisfactory return on the capital employed?). Exploration is in many ways retrospective; a real understanding of how geological formations and fluids within basins were formed and modified is a prerequisite for success. Production and oil price forecasting are intensely quantitative and prospective (forward-looking). The main application of economic analysis in the oil business is to arrive at economic indicators for proposed future activities (given a set of assumptions and estimates) and to determine the effect a certain investment will have on the company's financial position. As a future oil business venture is never deterministic (in terms of geological and/or financial outcomes) and since several courses of action are possible given the information at hand, project economics may be computed for a range of assumptions (input data) and for several alternative scenarios, where each scenario and/or assumption may additionally be assigned a probability. In this manner, the expected economic outcome may be computed along with downside and upside estimates. Also, project economics play a decisive role when a number of alternatives are competing for implementation; bases on technical-economic optimization studies, we select the optimum development concept, the optimum number of wells, the optimum fluid handling capacities, etc. with due consideration of subsurface and other relevant uncertainties. The economic optimum is chosen based on comparative analyses. This paper will demonstrate that the 'economic interface' is essential for most oil business
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Choosing children: intergenerational justice?
Doyal, Len; McLean, Sheila
2005-03-01
In this discussion, we argue that the concept of intergenerational justice, usually used in environmental matters, is applicable to reproductive decisions also. Additionally, we propose that this permits certain reproductive choices to be made prior to conception or during the pregnancy, and that these choices should not be confined to clinical concerns. In particular, we argue that consideration of the interests of future children should be viewed from the perspective of objective well-being. That being the case, decisions about the sex of future offspring can, in terms of intergenerational justice, be legitimate. We do not argue that every reproductive choice is legitimate; for example it would not be legitimate deliberately to choose characteristics that prevent future children from potentially successful participation in social life.
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Energy Technology Data Exchange (ETDEWEB)
Podkaminer, Kara [U.S. Department of Energy (DOE); Xie, Fei [ORNL; Lin, Zhenhong [ORNL
2017-01-01
This analysis represents the biogas-to-electricity pathway under the Renewable Fuel Standard (RFS) as a point of purchase incentive and tests the impact of this incentive on EV deployment using a vehicle consumer choice model. The credit value generated under this policy was calculated in a number of scenarios based on electricity use of each power train choice on a yearly basis over the 15 year vehicle lifetime, accounting for the average electric vehicle miles travelled and vehicle efficiency, competition for biogas-derived electricity among electric vehicles (EVs), the RIN equivalence value and the time value of money. The credit value calculation in each of these scenarios is offered upfront as a point of purchase incentive for EVs using the Market Acceptance of Advanced Automotive Technologies (MA3T) vehicle choice model, which tracks sales, fleet size and energy use over time. The majority of the scenarios use a proposed RIN equivalence value, which increases the credit value as a way to explore the analysis space. Additional model runs show the relative impact of the equivalence value on EV deployment. The MA3T model output shows that a consumer incentive accelerates the deployment of EVs for all scenarios relative to the baseline (no policy) case. In the scenario modeled to represent the current biogas-to-electricity generation capacity (15 TWh/year) with a 5.24kWh/RIN equivalence value, the policy leads to an additional 1.4 million plug-in hybrid electric vehicles (PHEVs) and 3.5 million battery electric vehicles (BEVs) in 2025 beyond the no-policy case of 1.3 million PHEVs and 2.1 million BEVs when the full value of the credit is passed on to the consumer. In 2030, this increases to 2.4 million PHEVs and 7.3 million BEVs beyond the baseline. This larger impact on BEVs relative to PHEVs is due in part to the larger credit that BEVs receive in the model based on the greater percentage of electric vehicle miles traveled by BEVs relative to PHEVs. In this
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Ant colony system (ACS with hybrid local search to solve vehicle routing problems
Directory of Open Access Journals (Sweden)
Suphan Sodsoon
2016-02-01
Full Text Available This research applied an Ant Colony System algorithm with a Hybrid Local Search to solve Vehicle Routing Problems (VRP from a single depot when the customers’ requirements are known. VRP is an NP-hard optimization problem and has usually been successfully solved optimum by heuristics. A fleet of vehicles of a specific capacity are used to serve a number of customers at minimum cost, without violating the constraints of vehicle capacity. There are meta-heuristic approaches to solve these problems, such as Simulated Annealing, Genetic Algorithm, Tabu Search and the Ant Colony System algorithm. In this case a hybrid local search was used (Cross-Exchange, Or-Opt and 2-Opt algorithm with an Ant Colony System algorithm. The Experimental Design was tested on 7 various problems from the data set online in the OR-Library. There are five different problems in which customers are randomly distributed with the depot in an approximately central location. The customers were grouped into clusters. The results are evaluated in terms of optimal routes using optimal distances. The experimental results are compared with those obtained from meta-heuristics and they show that the proposed method outperforms six meta-heuristics in the literature.
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Choosing early pregnancy termination methods in Urban Mozambique
Mitchell, Ellen M. H.; Kwizera, Amata; Usta, Momade; Gebreselassie, Hailemichael
2010-01-01
Little is known about who chooses medication abortion with misoprostol and why. Women seeking early abortion in 5 public hospitals in Maputo, Mozambique were recruited in 2005 and 2006 to explore decision-making strategies, method preferences and experiences with misoprostol and vacuum aspiration
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The control of vehicles used in transport of sensitive nuclear material
International Nuclear Information System (INIS)
Loiseau, O.; Larrignon, D.; Autrusson, B.
2010-01-01
Most sensitive nuclear materials are usually shipped in specific vehicles with a reinforced protection; such vehicles are generally escorted, tracked and watched over from a distant control centre. Among the various publications made by the IAEA in relation with the CPPNM, the INFCIRC/225 introduces major recommendations for physical protection of nuclear materials in general and particularly during transport. For instance, the text recommends - for the terrestrial shipment of most sensitive material - the use of vehicles specially designed to resist attack and equipped with a vehicle disabling device. Applying such a recommendation at a state level requires the intervention of a competent authority; the competent authority defines the framework of a validation process starting with the design of the vehicle and ending with the vehicle protection approval. The validation process needs articulating responsibilities between the three major actors who are: the operator in charge of the design, a technical support body in charge of technical evaluation, and the competent authority who is responsible for the final approval of the protection. This paper focuses on the approval process of reinforced protection vehicles in France; it aims at showing how such a process may contribute to the security of nuclear material shipments. The paper notably focuses on the responsibilities of the operators, the competent authority and the technical support organization. This approval process of the protection of a vehicle allows the authority to ensure that the protection setup is effective and operational in order to protect the cargo from a malicious threat. In such a process, the authority defines the threat and the objectives of protection; the authority may choose, in certain case, to recommend protection devices or solutions; the need for recommendation versus objective definition mostly depends on the environment of the vehicle and the constraints induced. The authority may
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Color waves : a simple heuristic for choosing false colors
Overveld, van C.W.A.M.
1997-01-01
A simple heuristic is presented for choosing false colors for visualizing scalar functions on two-dimensional domains. The color scheme allows inspection of the function on several length scales simultanously.
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Electric vehicle station equipment for grid-integrated vehicles
Kempton, Willett; Kiamilev, Fouad; McGee, Rodney; Waite, Nick
2017-09-05
Methods, systems, and apparatus transferring power between the grid and an electric vehicle are disclosed. The apparatus may include at least one vehicle communication port for interfacing with electric vehicle equipment (EVE) and a processor coupled to the at least one vehicle communication port to establish communication with the EVE, receive EVE attributes from the EVE, and transmit electric vehicle station equipment (EVSE) attributes to the EVE. Power may be transferred between the grid and the electric vehicle by maintaining EVSE attributes, establishing communication with the EVE, and transmitting the EVSE maintained attributes to the EVE.
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International Nuclear Information System (INIS)
Davies, Jamie; Kurani, Kenneth S.
2013-01-01
Plug-in hybrid electric vehicles (PHEVs) are currently for sale in most parts of the United States, Canada, Europe and Japan. These vehicles are promoted as providing distinct consumer and public benefits at the expense of grid electricity. However, the specific benefits or impacts of PHEVs ultimately relies on consumers purchase and vehicle use patterns. While considerable effort has been dedicated to understanding PHEV impacts on a per mile basis few studies have assessed the impacts of PHEV given actual consumer use patterns or operating conditions. Instead, simplifying assumptions have been made about the types of cars individual consumers will choose to purchase and how they will drive and charge them. Here, we highlight some of these consumer purchase and use assumptions, studies which have employed these assumptions and compare these assumptions to actual consumer data recorded in a PHEV demonstration project. Using simulation and hypothetical scenarios we discuss the implication for PHEV impact analyses and policy if assumptions about key PHEV consumer use variables such as vehicle choice, home charging frequency, distribution of driving distances, and access to workplace charging were to change. -- Highlights: •The specific benefits or impacts of PHEVs ultimately relies on consumers purchase and vehicle use patterns. •Simplifying, untested, assumptions have been made by prior studies about PHEV consumer driving, charging and vehicle purchase behaviors. •Some simplifying assumptions do not match observed data from a PHEV demonstration project. •Changing the assumptions about PHEV consumer driving, charging, and vehicle purchase behaviors affects estimates of PHEV impacts. •Premature simplification may have lasting consequences for standard setting and performance based incentive programs which rely on these estimates
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Smart electric vehicle (EV) charging and grid integration apparatus and methods
Gadh, Rajit; Mal, Siddhartha; Prabhu, Shivanand; Chu, Chi-Cheng; Sheikh, Omar; Chung, Ching-Yen; He, Lei; Xiao, Bingjun; Shi, Yiyu
2015-05-05
An expert system manages a power grid wherein charging stations are connected to the power grid, with electric vehicles connected to the charging stations, whereby the expert system selectively backfills power from connected electric vehicles to the power grid through a grid tie inverter (if present) within the charging stations. In more traditional usage, the expert system allows for electric vehicle charging, coupled with user preferences as to charge time, charge cost, and charging station capabilities, without exceeding the power grid capacity at any point. A robust yet accurate state of charge (SOC) calculation method is also presented, whereby initially an open circuit voltage (OCV) based on sampled battery voltages and currents is calculated, and then the SOC is obtained based on a mapping between a previously measured reference OCV (ROCV) and SOC. The OCV-SOC calculation method accommodates likely any battery type with any current profile.
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Analysis and quality of service evaluation of a fast charging station for electric vehicles
International Nuclear Information System (INIS)
Zenginis, Ioannis; Vardakas, John S.; Zorba, Nizar; Verikoukis, Christos V.
2016-01-01
Electrification of transportation is considered as one of the most promising ways to mitigate climate change and reduce national security risks from oil and gasoline imports. Fast charging stations that provide high quality of service will facilitate the wide market penetration of electric vehicles. In this paper, the operation of a fast charging station is analyzed by employing a novel queuing model. The proposed analysis considers that the various electric vehicle models are classified by their battery size, and computes the customers' mean waiting time in the queue by taking into account the available charging spots, as well as the stochastic arrival process and the stochastic recharging needs of the various electric vehicle classes. Furthermore, a charging strategy is proposed according to which the drivers are motivated to limit their energy demands. The implementation of the proposed strategy allows the charging station to serve more customers without any increase in the queue waiting time. The high precision of the present analytical model is confirmed through simulations. Therefore, it may be utilized by existing fast charging station operators that need to provide high quality of service, or by future investors that need to design an efficient installation. - Highlights: • A fast charging station for multiple classes of electric vehicles is presented and analyzed. • A novel multiclass queuing model is presented for the mean queue waiting time derivation. • The system's arrival rate capacity is derived given a maximum tolerable waiting time limit. • A charging strategy is proposed aiming at increasing the system's arrival rate capacity. • The charging station operator's revenue is calculated based on the energy drawn by the electric vehicles.
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Selection of the battery pack parameters for an electric vehicle based on performance requirements
Koniak, M.; Czerepicki, A.
2017-06-01
Each type of vehicle has specific power requirements. Some require a rapid charging, other make long distances between charges, but a common feature is the longest battery life time. Additionally, the battery is influenced by factors such as temperature, depth of discharge and the operation current. The article contain the parameters of chemical cells that should be taken into account during the design of the battery for a specific application. This is particularly important because the batteries are not properly matched and can wear prematurely and cause an additional costs. The method of selecting the correct cell type should take previously discussed features and operating characteristics of the vehicle into account. The authors present methods of obtaining such characteristics along with their assessment and examples. Also there has been described an example of the battery parameters selection based on design assumptions of the vehicle and the expected performance characteristics. Selecting proper battery operating parameters is important due to its impact on the economic result of investments in electric vehicles. For example, for some Li-Ion technologies, the earlier worn out of batteries in a fleet of cruise boats or buses having estimated lifetime of 10 years is not acceptable, because this will cause substantial financial losses for the owner of the rolling stock. The presented method of choosing the right cell technology in the selected application, can be the basis for making the decision on future battery technical parameters.
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[Dentistry students' reasons for choosing dentistry as a career in Damascus University].
Mashlah, A M
2012-05-01
This cross-sectional questionnaire survey assessed the motives for choosing dentist as a profession among dentistry students at Damascus University, Syrian Arab Republic. A total of 408 undergraduate students (233 males and 175 females) aged 18-23 years were selected randomly from students in the second, third and fourth years of dentistry study. They completed a questionnaire that enquired about their reasons for studying dentistry as well as their sociodemographic characteristics. The number of admissions in females had increased over the 3 years. Most parents of the students were university-educated. The main motivation for choosing dentistry was as a means to achieve personal goals, including getting a good job abroad, having financial independence, and attaining a good reputation. There were significant differences between the sexes with regard to the reasons for choosing dentistry.
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Effects of capacity constraints on the motion pattern of an autonomous orchard sprayer
DEFF Research Database (Denmark)
Bochtis, D.D.; Vougioukas, S.G.; Griepentrog, Hans-Werner
Orchard farming operations are very promising for automated systems implementation due to the semi-controlled environment that they are executed. Researches on autonomous orchard vehicles have been madden from many research teams the last years. Although, there is a lot of work that has been done...... which computes the routes that the vehicle has to follow as well as the optimal locations of the facilities in order to minimize the total operation's time. An autonomous tractor was used as the test platform. For the off-line testing of the planned operations as well as for the evaluation...... concerning the navigation of these vehicles, there is a lack of efficient mission planning for the operations that they execute. In this paper, orchard operations with capacity restrictions, such us spraying operation, are studied. For this kind of operations, a combinatorial optimization method is used...
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Design of a 200kW electric powertrain for a high performance electric vehicle
Directory of Open Access Journals (Sweden)
Wilmar Martinez
2016-09-01
Full Text Available With the purpose of designing the electric powertrain of a high performance electric vehicle capable of running a quarter mile in 10 seconds, firstly it is necessary to calculate the required energy, torque, and power in order to size and select the suitable storage components and electric motors. Secondly, an assessment of the powertrain arrangement is needed to choose the best internal configuration of the vehicle and guarantee the highest efficiency possible. Finally, a design of the power conversion stages, specifically the DC-DC converter that interfaces the storage unit with the electric motors, is required as well. This paper shows the energy calculation procedure based on a longitudinal dynamic model of the vehicle and the selection method of the storage components and motors needed for this application, as well as the design of two 100kW interleaved boost converters with coupled inductors. In addition, a novel operation of the interleaved boost converter is proposed in order to increase the efficiency of the converter. As a result, the designed converter achieved a power density of 24,2kW/kg with an efficiency of 98 %, which was validated by experimental tests of a low power prototype.
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Optimal Path Choice in Railway Passenger Travel Network Based on Residual Train Capacity
Directory of Open Access Journals (Sweden)
Fei Dou
2014-01-01
Full Text Available Passenger’s optimal path choice is one of the prominent research topics in the field of railway passenger transport organization. More and more different train types are available, increasing path choices from departure to destination for travelers are unstoppable. However, travelers cannot avoid being confused when they hope to choose a perfect travel plan based on various travel time and cost constraints before departure. In this study, railway passenger travel network is constructed based on train timetable. Both the generalized cost function we developed and the residual train capacity are considered to be the foundation of path searching procedure. The railway passenger travel network topology is analyzed based on residual train capacity. Considering the total travel time, the total travel cost, and the total number of passengers, we propose an optimal path searching algorithm based on residual train capacity in railway passenger travel network. Finally, the rationale of the railway passenger travel network and the optimal path generation algorithm are verified positively by case study.
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Juda, Z.
2016-09-01
The issue of protecting health of residents of urbanized areas from the effect of excessive particulate matter and toxic components of car exhaust gases imposes the need of introduction of clean electric vehicles to the market. The increasing market availability of electric vehicles, especially in the segment of short-range (neighborhood) vehicles is followed by development of new and advanced infrastructure solutions. This also applies to the increasingly popular hybrid vehicles PHEV (Plug-in Hybrid Electric Vehicles). However, problems with the existing designs are primarily associated with limited driving range on a single battery charge, the density of charging stations in urban and suburban area, energy system efficiency due to increased electricity demand and the unification of solutions for charging stations, on-board chargers and the necessary accessories. Technical solutions are dependent on many factors, including the type and size of battery in the vehicle and access to power grid with increased load capacity. The article discusses the legal and technical actions outlined in the above directions. It shows the available and planned solutions in this area.
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Why are junior doctors deterred from choosing a surgical career?
Rogers, Mary E; Creed, Peter A; Searle, Judy
2012-05-01
To identify the reasons why interns would not choose a surgical career. This qualitative study used semi-structured telephone interviews to explore the future career choices of 41 junior doctors (14 men, 27 women). Doctors were asked to identify specialties they would not take up, and state why this was the case. Thirty (73.2%) of the 41 interns nominated surgery as a specialty they would not choose. Themes relating to reasons for not wanting to pursue a surgical career included the lifestyle associated with surgery (66.7%), the culture within the surgical work environment (53.3%), the lack of interest in performing surgical work (36.7%), and the training requirements associated with surgery (33.3%). Both sexes had similar reasons for not wanting to choose a surgical career; but additionally, women referred to the male domination of surgery, and the difficulty and inflexibility of the training program as deterrents. Efforts are needed to promote interest in surgery as a career especially for women, to improve the surgical work environment so that medical students and junior doctors have exposure to positive role models and surgical placements, and to provide a more flexible approach to surgical training.
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Choosing the Path of Leadership in Occupational Therapy
Directory of Open Access Journals (Sweden)
Clark Patrick Heard D.OT Reg. (Ont.
2014-01-01
Full Text Available Leadership is vital to the success and sustainability of any group, organization, or profession. Using a qualitative phenomenological methodology, consistent with interpretative phenomenological analysis, this study examines why occupational therapists choose the path of leadership. Data was collected through the completion of semistructured interviews with 10 occupational therapy leaders in Ontario, Canada. This collected data was transcribed verbatim and coded for themes by multiple coders. Several methods were employed to establish trustworthiness. Results identify that a desire to influence the profession or care delivery, a need for personal or career development, and a need for change motivate those occupational therapists who might choose the path of leadership. Recommendations for supporting new or developing leaders include a focus on linking occupational therapy practice and leadership theory at the curriculum and professional levels. Moreover, application of novel approaches to mentorship for new and developing leaders, such as supportive communities of practice, are also considered.
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Hermans, R.M.; Almassalkhi, M.R.; Hiskens, I.A.
2012-01-01
Distribution utilities are becoming increasingly aware that their networks may struggle to accommodate large numbers of plug-in electric vehicles (PEVs). In particular, uncoordinated overnight charging is expected to be problematic, as the corresponding aggregated power demand exceeds the capacity
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Varnhagen, Scott; Same, Adam; Remillard, Jesse; Park, Jae Wan
2011-03-01
Series plug-in hybrid electric vehicles of varying engine configuration and battery capacity are modeled using Advanced Vehicle Simulator (ADVISOR). The performance of these vehicles is analyzed on the bases of energy consumption and greenhouse gas emissions on the tank-to-wheel and well-to-wheel paths. Both city and highway driving conditions are considered during the simulation. When simulated on the well-to-wheel path, it is shown that the range extender with a Wankel rotary engine consumes less energy and emits fewer greenhouse gases compared to the other systems with reciprocating engines during many driving cycles. The rotary engine has a higher power-to-weight ratio and lower noise, vibration and harshness compared to conventional reciprocating engines, although performs less efficiently. The benefits of a Wankel engine make it an attractive option for use as a range extender in a plug-in hybrid electric vehicle.
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A new load frequency control strategy for micro-grids with considering electrical vehicles
DEFF Research Database (Denmark)
Khooban, Mohammad Hassan; Niknam, Taher; Blaabjerg, Frede
2017-01-01
, by using a recently introduced plane representation, GT2FLS can be regarded as a combination of several interval type-2 fuzzy logic systems (IT2FLS), each with its own corresponding α level and linguistic rules can directly be incorporated into the controller. This paper further presents a new modified...... is working in an island operation mode. Meanwhile, electric vehicles (EVs) are growing in popularity, being used as dispersed energy storage units instead of small batteries in the systems. Accordingly, the vehicle-to-grid (V2G) power control can be applied to compensate for the inadequate LFC capacity...
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Energy Technology Data Exchange (ETDEWEB)
Okuno, A. (Mazda Motor Corp., Hiroshima (Japan))
1991-01-01
This report describes the vehicle autonomy by using artificial intelligence (AI) technology. Owing to a remarkable progress of AI technology, it is forecasted that driving support system will be introduced into the market till 2000, and higher autonomous navigation system will be introduced since about 2010. Autonomous vehicles have capacities of recognizing the outside world and of navigating roads by themselves, and with their enfanced environment adaptability the road transportation in the future is expected to be much more safer than in the present. The autonomous vehicle can warn its driver of potential dangers and correct operational errors of the driver. In order to realize such autonomous vehicles, extensive researches on perception systems, decision making systems and driving support systems are needed. 9 refs., 10 figs., 1 tab.
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Directory of Open Access Journals (Sweden)
Marija Tasić-Kostov
2015-03-01
Full Text Available Despite a large number of different vehicles available nowadays, conventional emulsion systems remain one of the most commonly used for cosmetic and dermatological preparations. Popularly labelled as skin- and environmentally-friendly, alkyl polyglucoside (APG sugar-based emulsifiers have attracted considerable interest with regard to their dermatological properties, since irritation potential of commonly used emulsifiers could affect the functionality and safety of dermopharmaceutics. The aim of this study was to promote the emulsion based on C16/18 APG as a prospective vehicle for topical drugs and cosmetic actives assessing the safety for use and skin hydration capacity. In accordance with the requirements of newer legislation in vitro, acute skin irritation test was performed using cytotoxicity assay on artificial skin. The results were compared with in vivo data obtained by measuring the skin biophysical parameters, such as: stratum corneum hydration (SCH, erythema index (EI, and transepidermal water loss (TEWL. Parameters were measured prior to (baseline values and upon cessation of a 24-h occlusive treatment in 14 healthy human volunteers. In vivo moisturizing capacity of the emulsions was assessed in 16 healthy volunteers in a long-term trial measuring of SCH. This study showed, investigating the most frequently used APG, that emulsions based on these emulsifiers could probably be promoted as safe cosmetic/ dermopharmaceutical vehicles. Prospective safety for human use with the correlation between in vivo and in vitro findings was shown. In addition, the investigated vehicle per se showed an excellent skin moisturizing capacity which is essential in maintaining healthy skin, but also in improving dermatitis, which follows most pathological skin conditions.
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Choosing a doctor and hospital for your cancer treatment
... htm Choosing a doctor and hospital for your cancer treatment To use the sharing features on this page, please enable JavaScript. When you seek cancer treatment, you want to find the best care possible. ...
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Step 7: Choose the "Best" Risk Management Alternative
The ultimate purpose of the SRM tactical phase is to choose how to manage risk. Prior to this stage, we determined the sources of risk, identified the relevant management actions and estimated the likelihood of all known outcomes. Next, we combine this information with your personal risk preference...
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The structure and control method of hybrid power source for electric vehicle
International Nuclear Information System (INIS)
Li, Maobing; Xu, Hui; Li, Weimin; Liu, Yin; Li, Fade; Hu, Yue; Liu, Li
2016-01-01
In this paper, an electric vehicle powertrain configuration is presented, which the lithium-ion battery integrated with ultracapacitors is developed as the hybrid power system to improve the transient performance of an electric vehicle, and to decrease the damage to the battery pack. In the proposed system, a bidirectional direct current/direct current converter is used to couple the ultracapacitors bank to the main battery pack. The energy management strategy based on fuzzy logic for hybrid power system has been proposed to promote the performance of energy flow in the electric vehicle. The experiment results in urban driving cycles show remarkable advantages of the proposed hybrid system configuration and energy management strategy. About 30% of the battery capacity energy is saved while using the hybrid power source. Besides, the voltage and current curves of battery become smoother than that with the single power. - Highlights: • A hybrid power source electric vehicle powertrain configuration is presented. • The energy management strategy based on fuzzy logic is proposed. • The experiment results show remarkable advantages of the configuration and method.
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A Framework Proposal For Choosing A New Business Implementation Model In Henkel
Li, Tsz Wan
2015-01-01
Henkel's New Business team is a corporate venturing unit that explores corporate entrepreneurial activities on behalf of Henkel Adhesives Technologies. The new business ideas are implemented through one of these models: incubator, venturing or innovation ecosystem. In current practice, there is no systematic framework in place to choose the implementation model. The goal of the thesis is to propose a framework for choosing the most appropriate model for implementation of a new business idea i...
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Hyper-X Vehicle Model - Top Front View
1996-01-01
A top front view of an early desk-top model of NASA's X-43A 'Hyper-X,' or Hypersonic Experimental Vehicle, developed to flight test a dual-mode ramjet/scramjet propulsion system at speeds from Mach 7 up to Mach 10 (7 to 10 times the speed of sound, which varies with temperature and altitude). Hyper-X, the flight vehicle for which is designated as X-43A, is an experimental flight-research program seeking to demonstrate airframe-integrated, 'air-breathing' engine technologies that promise to increase payload capacity for future vehicles, including hypersonic aircraft (faster than Mach 5) and reusable space launchers. This multiyear program is currently underway at NASA Dryden Flight Research Center, Edwards, California. The Hyper-X schedule calls for its first flight later this year (2000). Hyper-X is a joint program, with Dryden sharing responsibility with NASA's Langley Research Center, Hampton, Virginia. Dryden's primary role is to fly three unpiloted X-43A research vehicles to validate engine technologies and hypersonic design tools as well as the hypersonic test facility at Langley. Langley manages the program and leads the technology development effort. The Hyper-X Program seeks to significantly expand the speed boundaries of air-breathing propulsion by being the first aircraft to demonstrate an airframe-integrated, scramjet-powered free flight. Scramjets (supersonic-combustion ramjets) are ramjet engines in which the airflow through the whole engine remains supersonic. Scramjet technology is challenging because only limited testing can be performed in ground facilities. Long duration, full-scale testing requires flight research. Scramjet engines are air-breathing, capturing their oxygen from the atmosphere. Current spacecraft, such as the Space Shuttle, are rocket powered, so they must carry both fuel and oxygen for propulsion. Scramjet technology-based vehicles need to carry only fuel. By eliminating the need to carry oxygen, future hypersonic vehicles will
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Hyper-X Vehicle Model - Top Rear View
1996-01-01
This aft-quarter model view of NASA's X-43A 'Hyper-X' or Hypersonic Experimental Vehicle shows its sleek, geometric design. The X-43A was developed to flight test a dual-mode ramjet/scramjet propulsion system at speeds from Mach 7 up to Mach 10 (7 to 10 times the speed of sound, which varies with temperature and altitude). Hyper-X, the flight vehicle for which is designated as X-43A, is an experimental flight-research program seeking to demonstrate airframe-integrated, 'air-breathing' engine technologies that promise to increase payload capacity for future vehicles, including hypersonic aircraft (faster than Mach 5) and reusable space launchers. This multiyear program is currently underway at NASA Dryden Flight Research Center, Edwards, California. The Hyper-X schedule calls for its first flight later this year (2000). Hyper-X is a joint program, with Dryden sharing responsibility with NASA's Langley Research Center, Hampton, Virginia. Dryden's primary role is to fly three unpiloted X-43A research vehicles to validate engine technologies and hypersonic design tools as well as the hypersonic test facility at Langley. Langley manages the program and leads the technology development effort. The Hyper-X Program seeks to significantly expand the speed boundaries of air-breathing propulsion by being the first aircraft to demonstrate an airframe-integrated, scramjet-powered free flight. Scramjets (supersonic-combustion ramjets) are ramjet engines in which the airflow through the whole engine remains supersonic. Scramjet technology is challenging because only limited testing can be performed in ground facilities. Long duration, full-scale testing requires flight research. Scramjet engines are air-breathing, capturing their oxygen from the atmosphere. Current spacecraft, such as the Space Shuttle, are rocket powered, so they must carry both fuel and oxygen for propulsion. Scramjet technology-based vehicles need to carry only fuel. By eliminating the need to carry oxygen
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X-43A Vehicle During Ground Testing
1999-01-01
The X-43A Hypersonic Experimental Vehicle, or 'Hyper-X' is seen here undergoing ground testing at NASA's Dryden Flight Research Center, Edwards, California in December 1999. The X-43A was developed to research a dual-mode ramjet/scramjet propulsion system at speeds from Mach 7 up to Mach 10 (7 to 10 times the speed of sound, which varies with temperature and altitude). Hyper-X, the flight vehicle for which is designated as X-43A, is an experimental flight-research program seeking to demonstrate airframe-integrated, 'air-breathing' engine technologies that promise to increase payload capacity for future vehicles, including hypersonic aircraft (faster than Mach 5) and reusable space launchers. This multiyear program is currently underway at NASA Dryden Flight Research Center, Edwards, California. The Hyper-X schedule calls for its first flight later this year (2000). Hyper-X is a joint program, with Dryden sharing responsibility with NASA's Langley Research Center, Hampton, Virginia. Dryden's primary role is to fly three unpiloted X-43A research vehicles to validate engine technologies and hypersonic design tools as well as the hypersonic test facility at Langley. Langley manages the program and leads the technology development effort. The Hyper-X Program seeks to significantly expand the speed boundaries of air-breathing propulsion by being the first aircraft to demonstrate an airframe-integrated, scramjet-powered free flight. Scramjets (supersonic-combustion ramjets) are ramjet engines in which the airflow through the whole engine remains supersonic. Scramjet technology is challenging because only limited testing can be performed in ground facilities. Long duration, full-scale testing requires flight research. Scramjet engines are air-breathing, capturing their oxygen from the atmosphere. Current spacecraft, such as the Space Shuttle, are rocket powered, so they must carry both fuel and oxygen for propulsion. Scramjet technology-based vehicles need to carry only
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Energy Technology Data Exchange (ETDEWEB)
Septon, Kendall K [National Renewable Energy Laboratory (NREL), Golden, CO (United States)
2017-09-11
Electric-drive vehicles use electricity as their primary fuel or to improve the efficiency of conventional vehicle designs. These vehicles can be divided into three categories: Hybrid electric vehicles (HEVs), Plug-in hybrid electric vehicles (PHEVs), All-electric vehicles (EVs). Together, PHEVs and EVs can also be referred to as plug-in electric vehicles (PEVs).
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Energy Technology Data Exchange (ETDEWEB)
None
2017-09-01
Electric-drive vehicles use electricity as their primary fuel or to improve the efficiency of conventional vehicle designs. These vehicles can be divided into three categories: Hybrid electric vehicles (HEVs), Plug-in hybrid electric vehicles (PHEVs), All-electric vehicles (EVs). Together, PHEVs and EVs can also be referred to as plug-in electric vehicles (PEVs).
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Environmental Evaluation of New Generation Vehicles and Vehicle Components
Energy Technology Data Exchange (ETDEWEB)
Schexnayder, S.M.
2002-02-06
This report documents assessments that address waste issues and life cycle impacts associated with the vehicle materials and vehicle technologies being developed under the Partnership for a New Generation of Vehicles (PNGV) program. We refer to these vehicles as 3XVs, referring to the PNGV goal that their fuel mileage be three times better than the baseline vehicle. To meet the program's fuel consumption goals, these vehicles substitute lightweight materials for heavier materials such as steel and iron that currently dominate the composition of vehicles, and use engineering and power system changes. Alternative power systems being developed through the PNGV program include batteries for hybrid electric vehicles and fuel cells. With respect to all these developments, it is imperative to learn what effects they will have on the environment before adopting these designs and technologies on a large-scale basis.
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Decision Support System to Choose Digital Single Lens Camera with Simple Additive Weighting Method
Directory of Open Access Journals (Sweden)
Tri Pina Putri
2016-11-01
Full Text Available One of the technologies that evolve today is Digital Single Lens Reflex (DSLR camera. The number of products makes users have difficulties to choose the appropriate camera based on their criteria. Users may utilize several ways to help them choosing the intended camera such as using magazine, internet, and other media. This paper discusses about a web based decision support system to choose cameras by using SAW (Simple Additive Weighting method in order to make the decision process more effective and efficient. This system is expected to give recommendations about the camera which is appropriate with the user’s need and criteria based on the cost, the resolution, the feature, the ISO, and the censor. The system was implemented by using PHP and MySQL. Based on the result of questionnaire distributed to 20 respondents, 60% respondents agree that this decision support system can help users to choose the appropriate camera DSLR in accordance with the user’s need, 60% of respondents agree that this decision support system is more effective to choose DSLR camera and 75% of respondents agree that this system is more efficient. In addition, 60.55% of respondents agree that this system has met 5 Es Usability Framework.
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Choosing Teaching Profession as a Career: Students' Reasons
Balyer, Aydin; Özcan, Kenan
2014-01-01
The success of educational change inevitably depends on the quality and performance of teachers. Therefore, the importance of employing high quality teachers is crucial for educational systems. Choosing talented and committed brains to teaching career depends on making it an attractive profession. It is considered that there are some reasons why…
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Vehicle attributes constraining present electric car applicability in the fleet market
Energy Technology Data Exchange (ETDEWEB)
Wagner, J R
1979-12-01
One strategy for reducing petroleum imports is to use electric cars in place of conventional vehicles. This paper examines obstacles which electric cars are likely to encounter in attempting to penetrate a key segment of the passenger car market, namely, the fleet market. A fleet is here defined as a group of cars operated by a corporation or a government agency. The primary data source is a questionnaire that was distributed to fleet operators by the Bobit Publishing Company in the summer of 1977. Six sectors of the fleet market were sampled: police, state and local government, utilities, taxi, rental, and business. The questionnaire was specifically designed to uncover factors limiting market penetration of unconventional vehicles, although no attempt was made to determine price elasticities. Emphasis is on vehicle attributes that are readily quantifiable and relatively projectable, including seating capacity, range, battery recharging characteristics, availability of power options, and ability to use interstate highways.
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Kreinovich, Vladik YA.; Quintana, Chris; Lea, Robert
1991-01-01
Fuzzy control has been successfully applied in industrial systems. However, there is some caution in using it. The reason is that it is based on quite reasonable ideas, but each of these ideas can be implemented in several different ways, and depending on which of the implementations chosen different results are achieved. Some implementations lead to a high quality control, some of them not. And since there are no theoretical methods for choosing the implementation, the basic way to choose it now is experimental. But if one chooses a method that is good for several examples, there is no guarantee that it will work fine in all of them. Hence the caution. A theoretical basis for choosing the fuzzy control procedures is provided. In order to choose a procedure that transforms a fuzzy knowledge into a control, one needs, first, to choose a membership function for each of the fuzzy terms that the experts use, second, to choose operations of uncertainty values that corresponds to 'and' and 'or', and third, when a membership function for control is obtained, one must defuzzy it, that is, somehow generate a value of the control u that will be actually used. A general approach that will help to make all these choices is described: namely, it is proved that under reasonable assumptions membership functions should be linear or fractionally linear, defuzzification must be described by a centroid rule and describe all possible 'and' and 'or' operations. Thus, a theoretical explanation of the existing semi-heuristic choices is given and the basis for the further research on optimal fuzzy control is formulated.
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International Nuclear Information System (INIS)
Tarroja, Brian; Shaffer, Brendan; Samuelsen, Scott
2015-01-01
Alternative vehicles must appropriately interface with the electric grid and renewable generation to contribute to decarbonization. This study investigates the impact of infrastructure configurations and management strategies on the vehicle–grid interface and vehicle greenhouse gas reduction potential with regard to California's Executive Order S-21-09 goal. Considered are battery electric vehicles, gasoline-fueled plug-in hybrid electric vehicles, hydrogen-fueled fuel cell vehicles, and plug-in hybrid fuel cell vehicles. Temporally resolved models of the electric grid, electric vehicle charging, hydrogen infrastructure, and vehicle powertrain simulations are integrated. For plug-in vehicles, consumer travel patterns can limit the greenhouse gas reductions without smart charging or energy storage. For fuel cell vehicles, the fuel production mix must be optimized for minimal greenhouse gas emissions. The plug-in hybrid fuel cell vehicle has the largest potential for emissions reduction due to smaller battery and fuel cells keeping efficiencies higher and meeting 86% of miles on electric travel keeping the hydrogen demand low. Energy storage is required to meet Executive Order S-21-09 goals in all cases. Meeting the goal requires renewable capacities of 205 GW for plug-in hybrid fuel cell vehicles and battery electric vehicle 100s, 255 GW for battery electric vehicle 200s, and 325 GW for fuel cell vehicles. - Highlights: • Consumer travel patterns limit greenhouse gas reductions with immediate charging. • Smart charging or energy storage are required for large greenhouse gas reductions. • Fuel cells as a plug-in vehicle range extender provided the most greenhouse gas reductions. • Energy storage is required to meet greenhouse gas goals regardless of vehicle type. • Smart charging reduces the required energy storage size for a given greenhouse gas goal
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A few philosophical ruminations on the human condition and choosing to live well
Directory of Open Access Journals (Sweden)
Blake E. Hestir
2008-06-01
Full Text Available The notion that life is meaningful through choosing to live well has historically received substantive attention in various philosophical circles, notably the ancient Greek philosophers Socrates, Plato, and Aristotle, and more recently several of the existentialists. In some respects, the idea of choosing to live well is a “thematization” of two widely-recognized, independent components of a meaningful life: happiness and authenticity. I develop this notion of choosing to live well by exploring, developing, and relating these conceptions of happiness and authenticity. By appealing to a very basic account of human nature that has found favor among a great number of people, I show how happiness and authenticity complement each other as conditions for the possibility of living meaningfully.
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2013-05-31
This report describes pre-crash scenarios that might be addressed by vehicle-to-vehicle communications. The focus is on crashes involving at least 1 light vehicle with a gross vehicle weight rating of 10,000 pounds or less. The 2004-2008 General Esti...
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The Study on In-City Capacity Affected by Pedestrian Crossing
Directory of Open Access Journals (Sweden)
Chang-jiang Zheng
2016-01-01
Full Text Available Currently, the urban road traffic congestion is serious and the traffic accident is happening at a high frequency; thus it has not satisfied the travel needs of security and affects the quality of urban trips. In order to effectively relieve the confliction of people and motor vehicle, to make sure of the safety of pedestrians crossing the road, and to improve the capacity of urban roads, this passage focuses on studying the influence of pedestrians crossing the roads on the capacity of urban roads in three pedestrian crossing approaches including freely crossing the street, uncontrolled crossing of the pedestrian crosswalk, and controlled crossing of the pedestrian crosswalk. Firstly, it confirms the general formula of the road capacity when pedestrians are crossing the road based on three preassumptions, combined with the survey data, and then constructs the empirical mathematical model of pedestrian crossing on the capacity impact. Lastly, it takes the step of case calculation and simulation evaluation and calculates errors between them, finding that the error between the model calculation and software simulation is small. The efficiency of the model is validated and improved.
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Lifetime Estimation of the Nanophosphate LiFePO4/C Battery Chemistry Used in Fully Electric Vehicles
DEFF Research Database (Denmark)
Swierczynski, Maciej Jozef; Stroe, Daniel Loan; Stroe, Ana-Irina
2015-01-01
, and intrinsic safety of the nanophosphate LiFePO4/C Li-ion chemistry make it possible to consider this chemistry for electric vehicle (EV) applications. This paper investigates the lifetime of the nanophosphate LiFePO4/C battery chemistry when it is used for full electrical vehicles. The investigation...... is used to study the capacity and power capability degradation behavior of the tested nanophosphate LiFePO4/C battery for two EV operational scenarios....
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Kamal, M. A.; Youlla, D.
2018-03-01
Municipal solid waste (MSW) transportation in Pontianak City becomes an issue that need to be tackled by the relevant agencies. The MSW transportation service in Pontianak City currently requires very high resources especially in vehicle usage. Increasing the number of fleets has not been able to increase service levels while garbage volume is growing every year along with population growth. In this research, vehicle routing optimization approach was used to find optimal and efficient routes of vehicle cost in transporting garbage from several Temporary Garbage Dump (TGD) to Final Garbage Dump (FGD). One of the problems of MSW transportation is that there is a TGD which exceed the the vehicle capacity and must be visited more than once. The optimal computation results suggest that the municipal authorities only use 3 vehicles from 5 vehicles provided with the total minimum cost of IDR. 778,870. The computation time to search optimal route and minimal cost is very time consuming. This problem is influenced by the number of constraints and decision variables that have are integer value.
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Choosing of optimal start approximation for laplace equation ...
African Journals Online (AJOL)
We investigate Dirichlet problem for a case of two-dimensional area with lime border, numerical scheme for solving this equation is widely knowns it finite difference method. One of the major stages in the algorithm for that numerical solution is choosing of start approximation, usually as the initial values of the unknown ...
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1990-03-01
Quiet, clean, and efficient, electric vehicles (EVs) may someday become a practical mode of transportation for the general public. Electric vehicles can provide many advantages for the nation's environment and energy supply because they run on electricity, which can be produced from many sources of energy such as coal, natural gas, uranium, and hydropower. These vehicles offer fuel versatility to the transportation sector, which depends almost solely on oil for its energy needs. Electric vehicles are any mode of transportation operated by a motor that receives electricity from a battery or fuel cell. EVs come in all shapes and sizes and may be used for different tasks. Some EVs are small and simple, such as golf carts and electric wheel chairs. Others are larger and more complex, such as automobile and vans. Some EVs, such as fork lifts, are used in industries. In this fact sheet, we will discuss mostly automobiles and vans. There are also variations on electric vehicles, such as hybrid vehicles and solar-powered vehicles. Hybrid vehicles use electricity as their primary source of energy, however, they also use a backup source of energy, such as gasoline, methanol or ethanol. Solar-powered vehicles are electric vehicles that use photovoltaic cells (cells that convert solar energy to electricity) rather than utility-supplied electricity to recharge the batteries. These concepts are discussed.
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A novel heuristic algorithm for capacitated vehicle routing problem
Kır, Sena; Yazgan, Harun Reşit; Tüncel, Emre
2017-09-01
The vehicle routing problem with the capacity constraints was considered in this paper. It is quite difficult to achieve an optimal solution with traditional optimization methods by reason of the high computational complexity for large-scale problems. Consequently, new heuristic or metaheuristic approaches have been developed to solve this problem. In this paper, we constructed a new heuristic algorithm based on the tabu search and adaptive large neighborhood search (ALNS) with several specifically designed operators and features to solve the capacitated vehicle routing problem (CVRP). The effectiveness of the proposed algorithm was illustrated on the benchmark problems. The algorithm provides a better performance on large-scaled instances and gained advantage in terms of CPU time. In addition, we solved a real-life CVRP using the proposed algorithm and found the encouraging results by comparison with the current situation that the company is in.
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Mission aware energy saving strategies for Army ground vehicles
Dattathreya, Macam S.
on, gear is on neutral position, the vehicle is stationary, and the alternator powers the systems. The proposed energy saving strategy for silent surveillance mission minimizes unnecessary battery discharges by controlling the power states of systems according to the mission needs and available battery capacity. Initial experiments show that the proposed approach saves 3% energy when compared with the baseline strategy for one scenario and 1.8% for the second scenario. The proposed energy saving strategy for normal surveillance mission operates the engine at fuel-efficient speeds to meet vehicle demand and to save fuel. The experiment and simulation uses a computerized vehicle model and a test bench to validate the approach. In comparison to vehicles with fixed high-idle engine speed increments, experiments show that the proposed strategy saves fuel energy in the range of 0-4.9% for the tested power demand range of 44-69 kW. It is hoped to implement the proposed strategies on a real Army ground vehicle to start realizing the energy savings.
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Educational Vouchers: Freedom to Choose?
Directory of Open Access Journals (Sweden)
Jordan Reel
2013-12-01
Full Text Available Milton Friedman is famous for his book title: “Free to Choose.” He also favors educational vouchers, which denies the freedom to choose to people who do not wish to subsidize the education of other people’s children. Thus, he is guilty of a logical contradiction. Why is it important to assess whether Friedman’s views on educational vouchers are logically consistent with his widespread reputation as an advocate of free enterprise, and, thus, freedom to chose? It is important to assess all figures in political economy, and indeed all of scholarship, for logical consistency. It is particularly important to do so in the present case, given the prestige in certain quarters accorded to this Nobel prize-winning economist. We argue in this paper that Friedman’s reputation for logical consistency, and adherence to the philosophy of laissez faire capitalism, are both overblown. Our solution to this challenge is to completely privatize education. Friedman does not advocate that vouchers be utilized for food, clothing or shelter; we see no relevant difference in the case of education. What is the justification of the undertaken topic? This topic is important because education of the next generation is crucial for the upkeep and improvement of society. What is the aim of the present study? It is to demonstrate that the solution offered by M. Friedman and R. Friedman (1990 is highly problematic. What is the methodology used in the study? We quote from this author, and criticize his analysis. What are our main results and conclusions/recommendations? We conclude that the last best hope for the educational industry is laissez faire capitalism, not the mixed economy recommended by Friedman.
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Directory of Open Access Journals (Sweden)
Michalski Jan P.
2016-04-01
Full Text Available The paper presents a method of evaluating the optimal value of the cargo ships deadweight and the coupled optimal value of cargo handling capacity. The method may be useful at the stage of establishing the main owners requirements concerning the ship design parameters as well as for choosing a proper second hand ship for a given transportation task. The deadweight and the capacity are determined on the basis of a selected economic measure of the transport effectiveness of ship – the Required Freight Rate. The mathematical model of the problem is of a deterministic character and the simplifying assumptions are justified for ships operating in the liner trade. The assumptions are so selected that solution of the problem is obtained in analytical closed form. The presented method can be useful for application in the preliminary ship design or in the simulation of pre-investment transportation task studies.
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First-year dental students' motivation and attitudes for choosing the dental profession.
Avramova, Nadya; Yaneva, Krassimira; Bonev, Boyko
2014-01-01
To determine first-year dental students' current motivation and attitudes for choosing the dental profession at the Faculty of Dental Medicine, Medical University - Sofia, Bulgaria. An anonymous questionnaire, consisting of 12 questions about students' socio-demographic profile and their motivation for choosing dentistry, was administered to 119 first-year dental students at the Faculty of Dental Medicine of the Medical University of Sofia. The study was conducted at the beginning of the 2012-2013 academic year. The data was processed and analyzed with the following software: Microsoft Windows Server 2008 R2; Microsoft SQL Server 2008; Internet Information Server 7.5.; Microsoft SharePoint Server 2010. The majority of the students (73%) were self-motivated for choosing dentistry as a career; 61% of them did not have relatives in the medical profession; 43% chose dental medicine because it is a prestigious, humane and noble profession; 50% - for financial security; 59% - because of the independence that it provides. There were no significant differences in the motivation between males and females. Independence, financial security and 'prestige' were the predominant motivating factors in this group of first-year dental students. Determining the reasons for choosing dentistry has important implications for the selection and training of students as well as for their future job satisfaction. Copyright © 2014 by Academy of Sciences and Arts of Bosnia and Herzegovina.
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A Systematic Review of the Factors that Patients Use to Choose their Surgeon.
Yahanda, Alexander T; Lafaro, Kelly J; Spolverato, Gaya; Pawlik, Timothy M
2016-01-01
Given surgery's inherent risks, a patient should be able to make the most informed decisions possible in selecting surgical treatment. However, there is little information on what factors patients deem important when choosing a surgeon. We performed a systematic review of the literature focused on how patients select surgical care, focusing on identification of factors that influence patient choice as well as important sources of information used by patients. A search of all available literature on factors associated with choice of surgeon/surgical care, as well as sources of information used by patients before undergoing surgery, was conducted using the MEDLINE/PubMed electronic database. Of the 2315 publications identified, 86 studies met inclusion criteria. Overall, patients draw upon a wide range of factors when choosing surgical care. Surgeon reputation and competency stood out as the most valued professional attributes. Patients also often selected surgeons based on their interpersonal skills. Many patients chose surgical care using hospital, rather than surgeon, characteristics. For these patients, hospital reputation and hospital distance were factors of primary importance. Importantly, most patients relied on word-of-mouth and physician referrals when choosing a surgeon. Patients also expressed interest in quality information on surgeons, indicating that these data would be useful in decision-making. Patients draw upon a myriad of factors when choosing a surgeon and the circumstances surrounding patients' decisions maybe differ based on sociodemographic, cultural, as well as other factors. Additional information on how patients choose surgeons or hospitals will help providers assist patients in finding their preferred caregivers.
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Who will hold capacity in an era of uncertainty and unbundling
International Nuclear Information System (INIS)
Wirick, J.P.Jr.
2002-01-01
This presentation addressed the role that local distribution companies (LDC) will play in the natural gas industry with reference to the impacts of unbundling and how state regulators should react to LDCs exceeding allowable capacity reserve margins. The paper discussed how enforced behaviour has emerged within the traditional natural gas industry. The author states that the industry went into its first chaotic state when open access transportation came into force. It went into the second chaotic state when it was again destabilized by the forces of energy convergence, residential unbundling, ownership transfer, market pricing and technological innovation. The author described the synergistic effects of energy convergence with market pricing, along with the effects of residential energy unbundling and whether it should cover the natural gas commodity or just the capacity. The chaotic states have taught the industry valuable lessons in terms of pricing, service to customers and implications for both the industry and regulators. The author states that LDC unbundling should change who holds capacity, claiming that it has to, particularly if customers choose a different supplier. Unbundling means that the LDC allows residential customers to buy from someone other than the LDC. He also states that there is a need for pipelines to charge market-based rates. tabs., figs
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Choosing the right health care provider for pregnancy and childbirth
... page: //medlineplus.gov/ency/patientinstructions/000596.htm Choosing the right health care provider for pregnancy and childbirth To use the sharing features on this page, please enable JavaScript. ...
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International Nuclear Information System (INIS)
Takahashi, Masaki; Omote, Tatsuyuki; Yoneya, Yutaka; Tanaka, Keiji; Waki, Tetsuro; Yoshida, Tomiji; Kido, Tsuyoshi.
1993-01-01
An inspection vehicle comprises a small-sized battery directly connected with a power motor or a direct power source from trolly lines and a switching circuit operated by external signals. The switch judges advance or retreat by two kinds of signals and the inspection vehicle is recovered by self-running. In order to recover the abnormally stopped inspection vehicle to the targeted place, the inspection vehicle is made in a free-running state by using a clutch mechanism and is pushed by an other vehicle. (T.M.)
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Capacity for Preferences: Respecting Patients with Compromised Decision-Making.
Wasserman, Jason Adam; Navin, Mark Christopher
2018-05-01
When a patient lacks decision-making capacity, then according to standard clinical ethics practice in the United States, the health care team should seek guidance from a surrogate decision-maker, either previously selected by the patient or appointed by the courts. If there are no surrogates willing or able to exercise substituted judgment, then the team is to choose interventions that promote a patient's best interests. We argue that, even when there is input from a surrogate, patient preferences should be an additional source of guidance for decisions about patients who lack decision-making capacity. Our proposal builds on other efforts to help patients who lack decision-making capacity provide input into decisions about their care. For example, "supported," "assisted," or "guided" decision-making models reflect a commitment to humanistic patient engagement and create a more supportive process for patients, families, and health care teams. But often, they are supportive processes for guiding a patient toward a decision that the surrogate or team believes to be in the patient's medical best interests. Another approach holds that taking seriously the preferences of such a patient can help surrogates develop a better account of what the patient's treatment choices would have been if the patient had retained decision-making capacity; the surrogate then must try to integrate features of the patient's formerly rational self with the preferences of the patient's currently compromised self. Patients who lack decision-making capacity are well served by these efforts to solicit and use their preferences to promote best interests or to craft would-be autonomous patient images for use by surrogates. However, we go further: the moral reasons for valuing the preferences of patients without decision-making capacity are not reducible to either best-interests or (surrogate) autonomy considerations but can be grounded in the values of liberty and respect for persons. This has
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Peterson, Scott B.
Plug-in hybrid electric vehicles (PHEVs) may become a substantial part of the transportation fleet in a decade or two. This dissertation investigates battery degradation, and how introducing PHEVs may influence the electricity grid, emissions, and petroleum use in the US. It examines the effects of combined driving and vehicle-to-grid (V2G) usage on lifetime performance of commercial Li-ion cells. The testing shows promising capacity fade performance: more than 95% of the original cell capacity remains after thousands of driving days. Statistical analyses indicate that rapid vehicle motive cycling degraded the cells more than slower, V2G galvanostatic cycling. These data are used to examine the potential economic implications of using vehicle batteries to store grid electricity generated at off-peak hours for off-vehicle use during peak hours. The maximum annual profit with perfect market information and no battery degradation cost ranged from ˜US140 to 250 in the three cities. If measured battery degradation is applied the maximum annual profit decreases to ˜10-120. The dissertation predicts the increase in electricity load and emissions due to vehicle battery charging in PJM and NYISO with the current generators, with a 50/tonne CO2 price, and with existing coal generators retrofitted with 80% CO2 capture. It also models emissions using natural gas or wind+gas. We examined PHEV fleet percentages between 0.4 and 50%. Compared to 2020 CAFE standards, net CO2 emissions in New York are reduced by switching from gasoline to electricity; coal-heavy PJM shows smaller benefits unless coal units are fitted with CCS or replaced with lower CO2 generation. NOX is reduced in both RTOs, but there is upward pressure on SO2 emissions or allowance prices under a cap. Finally the dissertation compares increasing the all-electric range (AER) of PHEVs to installing charging infrastructure. Fuel use was modeled with National Household Travel Survey and Greenhouse Gasses, Regulated
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Directory of Open Access Journals (Sweden)
José Miguel Benjumea Royero
2017-02-01
Full Text Available Context: Regarding their design of reinforced concrete structural walls, the Colombian seismic design building code allows the engineer to select one of the three seismic energy dissipation capacity (ordinary, moderate, and special depending on the seismic hazard of the site. Despite this, it is a common practice to choose the minor requirement for the site because it is thought that selecting a higher requirement will lead to larger structural materials amounts and, therefore, cost increments. Method: In this work, an analytical study was performed in order to determine the effect of the selected energy dissipation capacity on the quantity of materials and ductility displacement capacity of R/C walls. The study was done for a region with low seismic hazard, mainly because this permitted to explore and compare the use of the three seismic energy dissipations capacities. The effect of different parameters such as the wall total height and thickness, the tributary loaded area, and the minimum volumetric steel ratio were studied. Results: The total amount of steel required for the walls with moderate and special energy dissipation capacity corresponds, on average, to 77% and 89%, respectively, of the quantity required for walls with minimum capacity. Conclusions: it is possible to achieve reductions in the total steel required weight when adopting either moderated or special seismic energy dissipation instead of the minimum capacity. Additionally, a significant increment in the seismic ductility displacements capacity of the wall was obtained.
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The effects of high frequency current ripple on electric vehicle battery performance
International Nuclear Information System (INIS)
Uddin, Kotub; Moore, Andrew D.; Barai, Anup; Marco, James
2016-01-01
Highlights: • Experimental study into the impact of current ripple on li-ion battery degradation. • 15 cells exercised with 1200 cycles coupled AC–DC signals, at 5 frequencies. • Results highlight a greater spread of degradation for cells exposed to AC excitation. • Implications for BMS control, thermal management and system integration. - Abstract: The power electronic subsystems within electric vehicle (EV) powertrains are required to manage both the energy flows within the vehicle and the delivery of torque by the electrical machine. Such systems are known to generate undesired electrical noise on the high voltage bus. High frequency current oscillations, or ripple, if unhindered will enter the vehicle’s battery system. Real-world measurements of the current on the high voltage bus of a series hybrid electric vehicle (HEV) show that significant current perturbations ranging from 10 Hz to in excess of 10 kHz are present. Little is reported within the academic literature about the potential impact on battery system performance and the rate of degradation associated with exposing the battery to coupled direct current (DC) and alternating currents (AC). This paper documents an experimental investigation that studies the long-term impact of current ripple on battery performance degradation. Initial results highlight that both capacity fade and impedance rise progressively increase as the frequency of the superimposed AC current increases. A further conclusion is that the spread of degradation for cells cycled with a coupled AC–DC signal is considerably more than for cells exercised with a traditional DC waveform. The underlying causality for this degradation is not yet understood. However, this has important implications for the battery management system (BMS). Increased variations in cell capacity and impedance will cause differential current flows and heat generation within the battery pack that if not properly managed will further reduce battery life
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van den Berg, V.A.C.; Verhoef, E.T.
2016-01-01
‘Autonomous cars’ are cars that can drive themselves without human control. Autonomous cars can safely drive closer together than cars driven by humans, thereby possibly increasing road capacity. By allowing drivers to perform other activities in the vehicle, they may reduce the value of travel time
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Weis, Allison; Jaramillo, Paulina; Michalek, Jeremy
2016-02-01
We perform a consequential life cycle analysis of plug-in electric vehicles (PEVs), hybrid electric vehicles (HEVs), and conventional gasoline vehicles in the PJM interconnection using a detailed, normative optimization model of the PJM electricity grid that captures the change in power plant operations and related emissions due to vehicle charging. We estimate and monetize the resulting human health and environmental damages from life cycle air emissions for each vehicle technology. We model PJM using the most recent data available (2010) as well as projections of the PJM grid in 2018 and a hypothetical scenario with increased wind penetration. We assess a range of sensitivity cases to verify the robustness of our results. We find that PEVs have higher life cycle air emissions damages than gasoline HEVs in the recent grid scenario, which has a high percentage of coal generation on the margin. In particular, battery electric vehicles with large battery capacity can produce two to three times as much air emissions damage as gasoline HEVs, depending on charge timing. In our future 2018 grid scenarios that account for predicted coal plant retirements, PEVs would produce air emissions damages comparable to or slightly lower than HEVs.
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International Nuclear Information System (INIS)
Weis, Allison; Jaramillo, Paulina; Michalek, Jeremy
2016-01-01
We perform a consequential life cycle analysis of plug-in electric vehicles (PEVs), hybrid electric vehicles (HEVs), and conventional gasoline vehicles in the PJM interconnection using a detailed, normative optimization model of the PJM electricity grid that captures the change in power plant operations and related emissions due to vehicle charging. We estimate and monetize the resulting human health and environmental damages from life cycle air emissions for each vehicle technology. We model PJM using the most recent data available (2010) as well as projections of the PJM grid in 2018 and a hypothetical scenario with increased wind penetration. We assess a range of sensitivity cases to verify the robustness of our results. We find that PEVs have higher life cycle air emissions damages than gasoline HEVs in the recent grid scenario, which has a high percentage of coal generation on the margin. In particular, battery electric vehicles with large battery capacity can produce two to three times as much air emissions damage as gasoline HEVs, depending on charge timing. In our future 2018 grid scenarios that account for predicted coal plant retirements, PEVs would produce air emissions damages comparable to or slightly lower than HEVs. (letter)
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Papp, Z.; Doodeman, G.J.N.; Nelisse, M.W.; Sijs, J.; Theeuwes, J.A.C.; Driessen, B.J.F.
2010-01-01
A traffic information unit (MD1, MD2, MD3) according to the invention comprises a facility (MI) for tracking vehicle state information of individual vehicles present at a traffic infrastructure and a facility (T) for transmitting said vehicle state information to a vehicle (70B, 70E). A traffic
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The influence of education level on choosing coastal regions as tourist destinations
Directory of Open Access Journals (Sweden)
Đeri Lukrecija
2017-01-01
Full Text Available The main aim of the paper is to investigate the influence of formal education level on decision-making process when choosing a tourist destination based on multivariate analysis of variance (MANOVA. The survey was conducted on the sample of 252 respondents from Bačka region (Vojvodina/Serbia. Also, this study strives to examine the influence of education level on decision-making process including all five phases of decision-making process: need awareness, information search, alternatives estimation, purchase and purchase evaluation, applied to the process of choosing coastal regions as tourist destinations. The study shows that education level is related to four out of five phases of decision-making process (only in case of need awareness there is no statistically significant difference. This is especially important for creation of a marketing platform with promotional activities adjusted to different market segments differentiated by education level. Moreover, the study discusses differences in behaviour of different educational groups while choosing travel destinations.
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Papp, Z.; Doodeman, G.J.N.; Nelisse, M.W.; Sijs, J.; Theeuwes, J.A.C.; Driessen, B.J.F.
2010-01-01
A vehicle tracking system is described comprising - a plurality of sensor nodes (10) that each provide a message (D) indicative for an occupancy status of a detection area of an vehicle infrastructure monitored by said sensor node, said sensor nodes (10) being arranged in the vehicle infrastructure
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Choosing the negative: A behavioral demonstration of morbid curiosity
Oosterwijk, S.
2017-01-01
This paper examined, with a behavioral paradigm, to what extent people choose to view stimuli that portray death, violence or harm. Based on briefly presented visual cues, participants made choices between highly arousing, negative images and positive or negative alternatives. The negative images
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Choosing the Right Assessment for the Right Purpose
Eliasson, Ann-Christin
2012-01-01
Assessments used for both clinical practice and research should show evidence of validity and reliability for the target group of people. It is easy to agree with this statement, but it is not always easy to choose the right assessment for the right purpose. Recently there have been increasing numbers of studies which investigate further the…
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Choosing the Best Enzyme Complex Structure Made Easy.
Das, Sayoni; Orengo, Christine
2018-04-03
In this issue of Structure, Tyzack et al. (2018) present a study of enzyme-ligand complexes in the PDB and show that the molecular similarity of bound and cognate ligands can be used to choose the most biologically appropriate complex structure for analysis when multiple structures are available. Copyright © 2018 Elsevier Ltd. All rights reserved.
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The Dilemma of Individual Autonomy versus Choosing Rightly
Yehezkely, Chen
2015-01-01
Many important goals or values of education are tokens of either one of these two meta-goals-values: raising our children to be autonomous, or raising them to choose rightly. Thus, the conflicts between many educational goals-values are tokens of the meta-conflict between these two, and the questions of priority that such conflicts invite are…
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Choosing health, constrained choices.
Chee Khoon Chan
2009-12-01
In parallel with the neo-liberal retrenchment of the welfarist state, an increasing emphasis on the responsibility of individuals in managing their own affairs and their well-being has been evident. In the health arena for instance, this was a major theme permeating the UK government's White Paper Choosing Health: Making Healthy Choices Easier (2004), which appealed to an ethos of autonomy and self-actualization through activity and consumption which merited esteem. As a counterpoint to this growing trend of informed responsibilization, constrained choices (constrained agency) provides a useful framework for a judicious balance and sense of proportion between an individual behavioural focus and a focus on societal, systemic, and structural determinants of health and well-being. Constrained choices is also a conceptual bridge between responsibilization and population health which could be further developed within an integrative biosocial perspective one might refer to as the social ecology of health and disease.
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CO2 Mitigation Potential of Plug-in Hybrid Electric Vehicles larger than expected.
Plötz, P; Funke, S A; Jochem, P; Wietschel, M
2017-11-28
The actual contribution of plug-in hybrid and battery electric vehicles (PHEV and BEV) to greenhouse gas mitigation depends on their real-world usage. Often BEV are seen as superior as they drive only electrically and do not have any direct emissions during driving. However, empirical evidence on which vehicle electrifies more mileage with a given battery capacity is lacking. Here, we present the first systematic overview of empirical findings on actual PHEV and BEV usage for the US and Germany. Contrary to common belief, PHEV with about 60 km of real-world range currently electrify as many annual vehicles kilometres as BEV with a much smaller battery. Accordingly, PHEV recharged from renewable electricity can highly contribute to green house gas mitigation in car transport. Including the higher CO 2eq emissions during the production phase of BEV compared to PHEV, PHEV show today higher CO 2eq savings then BEVs compared to conventional vehicles. However, for significant CO 2eq improvements of PHEV and particularly of BEVs the decarbonisation of the electricity system should go on.
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Prediction of lithium-ion battery capacity with metabolic grey model
International Nuclear Information System (INIS)
Chen, Lin; Lin, Weilong; Li, Junzi; Tian, Binbin; Pan, Haihong
2016-01-01
Given the popularity of Lithium-ion batteries in EVs (electric vehicles), predicting the capacity quickly and accurately throughout a battery's full life-time is still a challenging issue for ensuring the reliability of EVs. This paper proposes an approach in predicting the varied capacity with discharge cycles based on metabolic grey theory and consider issues from two perspectives: 1) three metabolic grey models will be presented, including MGM (metabolic grey model), MREGM (metabolic Residual-error grey model), and MMREGM (metabolic Markov-residual-error grey model); 2) the universality of these models will be explored under different conditions (such as various discharge rates and temperatures). Furthermore, the research findings in this paper demonstrate the excellent performance of the prediction depending on the three models; however, the precision of the MREGM model is inferior compared to the others. Therefore, we have obtained the conclusion in which the MGM model and the MMREGM model have excellent performances in predicting the capacity under a variety of load conditions, even using few data points for modeling. Also, the universality of the metabolic grey prediction theory is verified by predicting the capacity of batteries under different discharge rates and different temperatures. - Highlights: • The metabolic mechanism is introduced in a grey system for capacity prediction. • Three metabolic grey models are presented and studied. • The universality of these models under different conditions is assessed. • A few data points are required for predicting the capacity with these models.
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Capacity of Freeway Merge Areas with Different On-Ramp Traffic Flow
Directory of Open Access Journals (Sweden)
Jinxing Shen
2015-06-01
Full Text Available This paper is aimed at investigating the influence of different types of traffic flows on the capacity of freeway merge areas. Based on the classical gap-acceptance model, two calculating models were established specifically considering randomly arriving vehicles and individual difference in driving behaviours. Monte-Carlo simulation was implemented to reproduce the maximum traffic volume on the designed freeway merge area under different situations. The results demonstrated that the proposed calculating models have better performance than the conventional gap-acceptance theory on accurately predicting the capacity of freeway merge areas. The findings of research could be helpful to improve the microscopic traffic flow simulation model from a more practical perspective and support the designing of freeway merge areas as well.
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DEFF Research Database (Denmark)
Aabo, Søren; Buschhardt, Tasja; Hansen, Tina Beck
2014-01-01
Food composition, buffer capacity, and fat and protein content have been shown to effect the gastric acid survival of pathogens (Waterman & Small 1998). In this study, simple food-model substances with different buffer capacities were investigated for their ability to support survival of stationary...... Heart Infusion Broth having a higher buffer capacity. We suggest this to be associated with a varying ability of Salmonella Typhimurium to mount a stationary phase acid tolerance response (ATR) depending on the buffer capacity of the food vehicle....... phase Salmonella Typhimurium during simulated gastric acid passage. We used a computer-controlled fermentor to employ pH changes in synthetic gastric fluid, mimicking the dynamic pH during gastric passage. In order to minimise variation, Salmonella enterica serovar Typhimurium was contained in dialysis...
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Choosing Wisely Imaging Recommendations: Initial Implementation in New England Emergency Departments
Directory of Open Access Journals (Sweden)
Ali S. Raja
2017-04-01
Full Text Available Introduction: In June 2016, the American College of Emergency Physicians (ACEP Emergency Quality Network began its Reduce Avoidable Imaging Initiative, designed to “reduce testing and imaging with low risk patients through the implementation of Choosing Wisely recommendations.” However, it is unknown whether New England emergency departments (ED have already implemented evidence-based interventions to improve adherence to ACEP Choosing Wisely recommendations related to imaging after their initial release in 2013. Our objective was to determine this, as well as whether provider-specific audit and feedback for imaging had been implemented in these EDs. Methods: This survey study was exempt from institutional review board review. In 2015, we mailed surveys to 195 hospital-affiliated EDs in all six New England states to determine whether they had implemented Choosing Wisely-focused interventions in 2014. Initial mailings included cover letters denoting the endorsement of each state’s ACEP chapter, and we followed up twice with repeat mailings to nonresponders. Data analysis included descriptive statistics and a comparison of state differences using Fisher’s exact test. Results: A total of 169/195 (87% of New England EDs responded, with all individual state response rates >80%. Overall, 101 (60% of responding EDs had implemented an intervention for at least one Choosing Wisely imaging scenario; 57% reported implementing a specific guideline/policy/clinical pathway and 28% reported implementing a computerized decision support system. The most common interventions were for chest computed tomography (CT in patients at low risk of pulmonary embolism (47% of EDs and head CT in patients with minor trauma (45% of EDs. In addition, 40% of EDs had implemented provider-specific audit and feedback, without significant interstate variation (range: 29-55%. Conclusion: One year after release of the ACEP Choosing Wisely recommendations, most New England EDs
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How important is vehicle safety in the new vehicle purchase process?
Koppel, Sjaanie; Charlton, Judith; Fildes, Brian; Fitzharris, Michael
2008-05-01
Whilst there has been a significant increase in the amount of consumer interest in the safety performance of privately owned vehicles, the role that it plays in consumers' purchase decisions is poorly understood. The aims of the current study were to determine: how important vehicle safety is in the new vehicle purchase process; what importance consumers place on safety options/features relative to other convenience and comfort features, and how consumers conceptualise vehicle safety. In addition, the study aimed to investigate the key parameters associated with ranking 'vehicle safety' as the most important consideration in the new vehicle purchase. Participants recruited in Sweden and Spain completed a questionnaire about their new vehicle purchase. The findings from the questionnaire indicated that participants ranked safety-related factors (e.g., EuroNCAP (or other) safety ratings) as more important in the new vehicle purchase process than other vehicle factors (e.g., price, reliability etc.). Similarly, participants ranked safety-related features (e.g., advanced braking systems, front passenger airbags etc.) as more important than non-safety-related features (e.g., route navigation systems, air-conditioning etc.). Consistent with previous research, most participants equated vehicle safety with the presence of specific vehicle safety features or technologies rather than vehicle crash safety/test results or crashworthiness. The key parameters associated with ranking 'vehicle safety' as the most important consideration in the new vehicle purchase were: use of EuroNCAP, gender and education level, age, drivers' concern about crash involvement, first vehicle purchase, annual driving distance, person for whom the vehicle was purchased, and traffic infringement history. The findings from this study are important for policy makers, manufacturers and other stakeholders to assist in setting priorities with regard to the promotion and publicity of vehicle safety features
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Choosing colors for map display icons using models of visual search.
Shive, Joshua; Francis, Gregory
2013-04-01
We show how to choose colors for icons on maps to minimize search time using predictions of a model of visual search. The model analyzes digital images of a search target (an icon on a map) and a search display (the map containing the icon) and predicts search time as a function of target-distractor color distinctiveness and target eccentricity. We parameterized the model using data from a visual search task and performed a series of optimization tasks to test the model's ability to choose colors for icons to minimize search time across icons. Map display designs made by this procedure were tested experimentally. In a follow-up experiment, we examined the model's flexibility to assign colors in novel search situations. The model fits human performance, performs well on the optimization tasks, and can choose colors for icons on maps with novel stimuli to minimize search time without requiring additional model parameter fitting. Models of visual search can suggest color choices that produce search time reductions for display icons. Designers should consider constructing visual search models as a low-cost method of evaluating color assignments.
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A hybrid life cycle assessment of the vehicle-to-grid application in light duty commercial fleet
International Nuclear Information System (INIS)
Zhao, Yang; Tatari, Omer
2015-01-01
The vehicle-to-grid system is an approach utilizing the idle battery capacity of electric vehicles while they are parked to provide supplementary energy to the power grid. As electrification continues in light duty vehicle fleets, the application of vehicle-to-grid systems for commercial delivery truck fleets can provide extra revenue for fleet owners, and also has significant potential for reducing greenhouse gas emissions from the electricity generation sector. In this study, an economic input–output based hybrid life cycle assessment is conducted to analyze the potential greenhouse gas emissions emission savings from the use of the vehicle-to-grid system, as well as the possible emission impacts caused by battery degradation. A Monte Carlo simulation was performed to address the uncertainties that lie in the electricity exchange amount of the vehicle-to-grid service as well as the battery life of the electric vehicles. The results of this study showed that extended range electric vehicles and battery electric vehicles are both viable regulation service providers for saving greenhouse gas emissions from electricity generation if the battery wear-out from regulation services is assumed to be minimal, but the vehicle-to-grid system becomes less attractive at higher battery degradation levels. - Highlights: • The commercial delivery trucks are studied as vehicle-to-grid service providers. • Hybrid life cycle assessment is conducted to evaluate emission mitigation. • Battery degradation level and corresponding emissions and cost are evaluated. • Vehicle-to-grid service is shown to have significant emission saving effect.
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Natural graphite demand and supply - Implications for electric vehicle battery requirements
Olson, Donald W.; Virta, Robert L.; Mahdavi, Mahbood; Sangine, Elizabeth S.; Fortier, Steven M.
2016-01-01
Electric vehicles have been promoted to reduce greenhouse gas emissions and lessen U.S. dependence on petroleum for transportation. Growth in U.S. sales of electric vehicles has been hindered by technical difficulties and the high cost of the lithium-ion batteries used to power many electric vehicles (more than 50% of the vehicle cost). Groundbreaking has begun for a lithium-ion battery factory in Nevada that, at capacity, could manufacture enough batteries to power 500,000 electric vehicles of various types and provide economies of scale to reduce the cost of batteries. Currently, primary synthetic graphite derived from petroleum coke is used in the anode of most lithium-ion batteries. An alternate may be the use of natural flake graphite, which would result in estimated graphite cost reductions of more than US$400 per vehicle at 2013 prices. Most natural flake graphite is sourced from China, the world's leading graphite producer. Sourcing natural flake graphite from deposits in North America could reduce raw material transportation costs and, given China's growing internal demand for flake graphite for its industries and ongoing environmental, labor, and mining issues, may ensure a more reliable and environmentally conscious supply of graphite. North America has flake graphite resources, and Canada is currently a producer, but most new mining projects in the United States require more than 10 yr to reach production, and demand could exceed supplies of flake graphite. Natural flake graphite may serve only to supplement synthetic graphite, at least for the short-term outlook.
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DEFF Research Database (Denmark)
Spernath, Aviram; Yaghmur, Anan; Aserin, Abraham
2003-01-01
Microemulsions are of growing interest to the food industry as vehicles for delivering and enhancing solubilization of natural food supplements with nutritional and health benefits. The incorporation of molecular phytosterols, cholesterol-lowering agents, in food products is of great interest...... to the food industry. In this work is demonstrated the use of water dilutable food-grade microemulsions consisting of ethoxylated sorbitan ester (Tween 60), water, R-(+)-limonene, ethanol, and propylene glycol as vehicles for enhancing the phytosterols solubilization. Phytosterols were solubilized up to 12...... times more than the dissolution capacity of the oil [R-(+)-limonene] for the same compounds. The solubilization capacity of phytosterols and cholesterol along a dilution line in a pseudo-ternary phase diagram [on this dilution line the weight ratio of R-(+)-limonene/ethanol/Tween 60 is constant at 1...
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Directory of Open Access Journals (Sweden)
Yangzexi Liu
2017-01-01
Full Text Available The technology of autonomous vehicles is expected to revolutionize the operation of road transport systems. The penetration rate of autonomous vehicles will be low at the early stage of their deployment. It is a challenge to explore the effects of autonomous vehicles and their penetration on heterogeneous traffic flow dynamics. This paper aims to investigate this issue. An improved cellular automaton was employed as the modeling platform for our study. In particular, two sets of rules for lane changing were designed to address mild and aggressive lane changing behavior. With extensive simulation studies, we obtained some promising results. First, the introduction of autonomous vehicles to road traffic could considerably improve traffic flow, particularly the road capacity and free-flow speed. And the level of improvement increases with the penetration rate. Second, the lane-changing frequency between neighboring lanes evolves with traffic density along a fundamental-diagram-like curve. Third, the impacts of autonomous vehicles on the collective traffic flow characteristics are mainly related to their smart maneuvers in lane changing and car following, and it seems that the car-following impact is more pronounced.
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CHOOSING THE RIGHT FORM OF LICENSING A BUSINESS IN ROMANIA
Directory of Open Access Journals (Sweden)
ROIBAN Roxana Nadina
2012-12-01
Full Text Available Choosing the most appropriate form of licensing a business is an important decision not easy to be made by an entrepreneur and it should be taken only after he has the required skills and abilities to do so. The business idea should harmonize with the business environment and its future trends, with the existing opportunities and the future products or services that the company will provide and not least the entrepreneur has to make sure that he has sufficient resources to get started. We consider that every business has a number of features that make certain forms of licensing to be more suitable than others. This paper aims to present a multitude of items to be reviewed by an entrepreneur at the start-up in order to choose the most appropriate licensing type for his business. Given that our country's law allows entrepreneurs to license their businesses in several forms, the decision to choose between many existing possibilities is a very important one for the future good of the business. Currently in our country there are two major laws governing the licensing of a business. The first one is the republished and subsequently amended Company Law number 31/1990 and the second, the Government Emergency Ordinance number 44/2008 regarding the economic activities of the Sole traders, Individual enterprises and Family enterprises. The Company Law number 31/1990 allows companies to choose between one of the five types of business entities that can operate in Romania: General partnership (in Romanian SNC, Limited partnership (in Romanian SCS, Limited partnerships by shares (in Romanian SCA, Joint stock company (in Romanian S.A. and Limited liability company (in Romanian S.R.L.. GEO number 44/2008 on economic activities of the Sole traders, Individual enterprises and Family enterprises regulates the licensing and the activity of a Sole traders, Individual enterprises and Family enterprises.
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Electric Vehicle Based Battery Storages for Large Scale Wind Power Integration in Denmark
DEFF Research Database (Denmark)
Pillai, Jayakrishnan Radhakrishna
In the recent years, the electric vehicles (EVs) have drawn great attention world wide as a feasible solution for clean transportation. The electric vehicle technology is not new as it was introduced in the mid 19th century. The low battery capacity, driving range and superior gasoline cars had...... resulted in the demise of electric cars in the 1930s. However, with the advancement of new high density battery technologies and power electronic converters, it is now viable to produce electric cars of higher efficiency and driving range. The performance and durability of the battery technology...... is improving on a rapid scale and the battery cost is also reducing which could enable the electric cars to be competitive in the market. The electric vehicles could also benefit the electricity sector in supporting more renewable energy which is also one of the most important driving forces in its promotion...
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Hyper-X Research Vehicle - Artist Concept in Flight
1997-01-01
An artist's conception of the X-43A Hypersonic Experimental Vehicle, or 'Hyper-X' in flight. The X-43A was developed to flight test a dual-mode ramjet/scramjet propulsion system at speeds from Mach 7 up to Mach 10 (7 to 10 times the speed of sound, which varies with temperature and altitude). Hyper-X, the flight vehicle for which is designated as X-43A, is an experimental flight-research program seeking to demonstrate airframe-integrated, 'air-breathing' engine technologies that promise to increase payload capacity for future vehicles, including hypersonic aircraft (faster than Mach 5) and reusable space launchers. This multiyear program is currently underway at NASA Dryden Flight Research Center, Edwards, California. The Hyper-X schedule calls for its first flight later this year (2000). Hyper-X is a joint program, with Dryden sharing responsibility with NASA's Langley Research Center, Hampton, Virginia. Dryden's primary role is to fly three unpiloted X-43A research vehicles to validate engine technologies and hypersonic design tools as well as the hypersonic test facility at Langley. Langley manages the program and leads the technology development effort. The Hyper-X Program seeks to significantly expand the speed boundaries of air-breathing propulsion by being the first aircraft to demonstrate an airframe-integrated, scramjet-powered free flight. Scramjets (supersonic-combustion ramjets) are ramjet engines in which the airflow through the whole engine remains supersonic. Scramjet technology is challenging because only limited testing can be performed in ground facilities. Long duration, full-scale testing requires flight research. Scramjet engines are air-breathing, capturing their oxygen from the atmosphere. Current spacecraft, such as the Space Shuttle, are rocket powered, so they must carry both fuel and oxygen for propulsion. Scramjet technology-based vehicles need to carry only fuel. By eliminating the need to carry oxygen, future hypersonic vehicles will
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Vision-Based Leader Vehicle Trajectory Tracking for Multiple Agricultural Vehicles.
Zhang, Linhuan; Ahamed, Tofael; Zhang, Yan; Gao, Pengbo; Takigawa, Tomohiro
2016-04-22
The aim of this study was to design a navigation system composed of a human-controlled leader vehicle and a follower vehicle. The follower vehicle automatically tracks the leader vehicle. With such a system, a human driver can control two vehicles efficiently in agricultural operations. The tracking system was developed for the leader and the follower vehicle, and control of the follower was performed using a camera vision system. A stable and accurate monocular vision-based sensing system was designed, consisting of a camera and rectangular markers. Noise in the data acquisition was reduced by using the least-squares method. A feedback control algorithm was used to allow the follower vehicle to track the trajectory of the leader vehicle. A proportional-integral-derivative (PID) controller was introduced to maintain the required distance between the leader and the follower vehicle. Field experiments were conducted to evaluate the sensing and tracking performances of the leader-follower system while the leader vehicle was driven at an average speed of 0.3 m/s. In the case of linear trajectory tracking, the RMS errors were 6.5 cm, 8.9 cm and 16.4 cm for straight, turning and zigzag paths, respectively. Again, for parallel trajectory tracking, the root mean square (RMS) errors were found to be 7.1 cm, 14.6 cm and 14.0 cm for straight, turning and zigzag paths, respectively. The navigation performances indicated that the autonomous follower vehicle was able to follow the leader vehicle, and the tracking accuracy was found to be satisfactory. Therefore, the developed leader-follower system can be implemented for the harvesting of grains, using a combine as the leader and an unloader as the autonomous follower vehicle.
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Choose and Book: a sociological analysis of 'resistance' to an expert system.
Greenhalgh, Trisha; Stones, Rob; Swinglehurst, Deborah
2014-03-01
In 2004, the English Department of Health introduced a technology (Choose and Book) designed to help general practitioners and patients book hospital outpatient appointments. It was anticipated that remote booking would become standard practice once technical challenges were overcome. But despite political pressure and financial incentives, Choose and Book remained unpopular and was generally used reluctantly if at all. Policymakers framed this as a problem of 'clinician resistance'. We considered Choose and Book from a sociological perspective. Our dataset, drawn from a qualitative study of computer use in general practice, comprised background documents, field notes, interviews, clinical consultations (directly observed and videotaped) and naturally occurring talk relating to referral to hospital in four general practices. We used strong structuration theory, Giddens' conceptualisation of expert systems, and sensitivity to other sociological perspectives on technology, institutions and professional values to examine the relationship between the external environment, the evolving technology and actions of human agents (GPs, administrators, managers and patients). Choose and Book had the characteristics of an expert system. It served to 'empty out' the content of the consultation as the abstract knowledge it contained was assumed to have universal validity and to over-ride the clinician's application of local knowledge and practical wisdom. Sick patients were incorrectly assumed to behave as rational choosers, able and willing to decide between potential options using abstracted codified information. Our analysis revealed four foci of resistance: to the policy of choice that Choose and Book symbolised and purported to deliver; to accommodating the technology's socio-material constraints; to interference with doctors' contextual judgements; and to adjusting to the altered social relations consequent on its use. We conclude that 'resistance' is a complex phenomenon
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Directory of Open Access Journals (Sweden)
Flore Rémouit
2018-04-01
Full Text Available Ocean renewable technologies have been rapidly developing over the past years. However, current high installation, operation, maintenance, and decommissioning costs are hindering these offshore technologies to reach a commercialization stage. In this paper we focus on the use of divers and remotely-operated vehicles during the installation and monitoring phase of wave energy converters. Methods and results are based on the wave energy converter system developed by Uppsala University, and our experience in offshore deployments obtained during the past eleven years. The complexity of underwater operations, carried out by either divers or remotely-operated vehicles, is emphasized. Three methods for the deployment of wave energy converters are economically and technically analyzed and compared: one using divers alone, a fully-automated approach using remotely-operated vehicles, and an intermediate approach, involving both divers and underwater vehicles. The monitoring of wave energy converters by robots is also studied, both in terms of costs and technical challenges. The results show that choosing an autonomous deployment method is more advantageous than a diver-assisted method in terms of operational time, but that numerous factors prevent the wide application of robotized operations. Technical solutions are presented to enable the use of remotely-operated vehicles instead of divers in ocean renewable technology operations. Economically, it is more efficient to use divers than autonomous vehicles for the deployment of six or fewer wave energy converters. From seven devices, remotely-operated vehicles become advantageous.
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Does Driving Range of Electric Vehicles Influence Electric Vehicle Adoption?
Directory of Open Access Journals (Sweden)
Seiho Kim
2017-10-01
Full Text Available This study aims to determine the influential factors on the market share of electric vehicles through panel data analysis based on time series data from 2011 to 2015 in 31 countries. We selected five significant independent variables that are expected to affect electric vehicle adoption based on literature review. The econometric model in this study suggests that the relative price of electric vehicle compared to internal combustion engine vehicle, driving range, and number of models available in markets are correlated to the market share of electric vehicles. On the other hand, relationship between recharging infrastructure—an important factor for electric vehicle adoption in many studies—and market share of electric vehicles turned out to be insignificant in this study. From a political point of view, we argue that policy makers need to allocate more resources to research and development in order to extend driving range at the early stage of electric vehicle deployment in the markets.
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International Nuclear Information System (INIS)
Kyle, Page; Kim, Son H.
2011-01-01
This study assesses global light-duty vehicle (LDV) transport in the upcoming century, and the implications of vehicle technology advancement and fuel-switching on greenhouse gas emissions and primary energy demands. Five different vehicle technology scenarios are analyzed with and without a CO 2 emissions mitigation policy using the GCAM integrated assessment model: a reference internal combustion engine vehicle scenario, an advanced internal combustion engine vehicle scenario, and three alternative fuel vehicle scenarios in which all LDVs are switched to natural gas, electricity, or hydrogen by 2050. The emissions mitigation policy is a global CO 2 emissions price pathway that achieves 450 ppmv CO 2 at the end of the century with reference vehicle technologies. The scenarios demonstrate considerable emissions mitigation potential from LDV technology; with and without emissions pricing, global CO 2 concentrations in 2095 are reduced about 10 ppmv by advanced ICEV technologies and natural gas vehicles, and 25 ppmv by electric or hydrogen vehicles. All technological advances in vehicles are important for reducing the oil demands of LDV transport and their corresponding CO 2 emissions. Among advanced and alternative vehicle technologies, electricity- and hydrogen-powered vehicles are especially valuable for reducing whole-system emissions and total primary energy. - Highlights: → Alternative-fuel LDVs reduce whole-system CO 2 emissions, even without carbon pricing. → Alternative-fuel LDVs enhance the CO 2 mitigation capacity of the transportation sector. → Electric and hydrogen vehicles reduce whole-system primary energy supporting LDV transport.
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Assessing materials handling and storage capacities in port terminals
Dinu, O.; Roşca, E.; Popa, M.; Roşca, M. A.; Rusca, A.
2017-08-01
Terminals constitute the factual interface between different modes and, as a result, buffer stocks are unavoidable whenever transport flows with different discontinuities meet. This is the reason why assessing materials handling and storage capacities is an important issue in the course of attempting to increase operative planning of logistic processes in terminals. Proposed paper starts with a brief review of the compatibilities between different sorts of materials and corresponding transport modes and after, a literature overview of the studies related to ports terminals and their specialization is made. As a methodology, discrete event simulation stands as a feasible technique for assessing handling and storage capacities at the terminal, taking into consideration the multi-flows interaction and the non-uniform arrivals of vessels and inland vehicles. In this context, a simulation model, that integrates the activities of an inland water terminal and describes the essential interactions between the subsystems which influence the terminal capacity, is developed. Different scenarios are simulated for diverse sorts of materials, leading to bottlenecks identification, performance indicators such as average storage occupancy rate, average dwell or transit times estimations, and their evolution is analysed in order to improve the transfer operations in the logistic process
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Directory of Open Access Journals (Sweden)
Wan-Yu Liu
2014-07-01
Full Text Available Torespondto the reduction of greenhouse gas emissions and global warming, this paper investigates the minimal-carbon-footprint time-dependent heterogeneous-fleet vehicle routing problem with alternative paths (MTHVRPP. This finds a route with the smallestcarbon footprint, instead of the shortestroute distance, which is the conventional approach, to serve a number of customers with a heterogeneous fleet of vehicles in cases wherethere may not be only one path between each pair of customers, and the vehicle speed differs at different times of the day. Inheriting from the NP-hardness of the vehicle routing problem, the MTHVRPP is also NP-hard. This paper further proposes a genetic algorithm (GA to solve this problem. The solution representedbyour GA determines the customer serving ordering of each vehicle type. Then, the capacity check is used to classify multiple routes of each vehicle type, and the path selection determines the detailed paths of each route. Additionally, this paper improves the energy consumption model used for calculating the carbon footprint amount more precisely. Compared with the results without alternative paths, our experimental results show that the alternative path in this experimenthas a significant impact on the experimental results in terms of carbon footprint.
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Relay selection from an effective capacity perspective
Yang, Yuli
2013-09-01
In this work, we consider a cooperative network where multiple relay nodes having different modulation capabilities assist the end-to-end communication between a source and its destination. Firstly, we evaluate the effective capacity (EC) performance of the network under study. According to the analysis, an EC-based relay selection criterion is proposed. Based on the proposed selection rule and half-duplex decode-and-forward protocol, the activated relays cooperatively help with the packet transmission from the source. At the destination, packet combining is taken into account to improve the quality of service. Compared to the popular scheme, opportunistic relay selection, numerical results are provided to prove the validity and advantages of our proposed scheme in certain scenarios. Moreover, the analysis presented herein offers a convenient tool to the relaying transmission design, specifically on which relay selection scheme should be used as well as how to choose the receiving strategy between with and without packet combining at the destination. © 2013 IEEE.
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Rothenfluh, Fabia; Germeni, Evi; Schulz, Peter J
2016-06-16
Web users are increasingly encouraged to rate and review consumer services (eg, hotels, restaurants) and, more recently, this is also the case for physicians and medical services. The resemblance in the setup and design of commercial rating websites (CRWs) and Web-based physician rating websites (PRWs) raises the question of whether choice-making processes based on the two types of websites could also be similar. This qualitative study sought to explore the extent to which consumer decision making based on Web-based reviews is the same for consumer services (ie, choice of a hotel) and health services (ie, choice of a pediatrician), while providing an in-depth understanding of potential differences or similarities. Between June and August 2015, we carried out a total of 22 qualitative interviews with young parents residing in the German-speaking part of Switzerland. Participants were invited to complete 2 choice tasks, which involved (1) choosing a hotel based on the commercial Web-based rating website TripAdvisor and (2) selecting a pediatrician based on the PRW Jameda. To better understand consumers' thought processes, we instructed participants to "think aloud", namely to verbalize their thinking while sorting through information and reaching decisions. Using a semistructured interview guide, we subsequently posed open-ended questions to allow them to elaborate more on factors influencing their decision making, level of confidence in their final choice, and perceived differences and similarities in their search for a hotel and a physician. All interviews were recorded, transcribed, and analyzed using an inductive thematic approach. Participants spent on average 9:57 minutes (standard deviation=9:22, minimum=3:46, maximum=22:25) searching for a hotel and 6:17 minutes (standard deviation=4:47, minimum=00:38, maximum=19:25) searching for a pediatrician. Although the choice of a pediatrician was perceived as more important than the choice of a hotel, participants
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Performance of clustering techniques for solving multi depot vehicle routing problem
Directory of Open Access Journals (Sweden)
Eliana M. Toro-Ocampo
2016-01-01
Full Text Available The vehicle routing problem considering multiple depots is classified as NP-hard. MDVRP determines simultaneously the routes of a set of vehicles and aims to meet a set of clients with a known demand. The objective function of the problem is to minimize the total distance traveled by the routes given that all customers must be served considering capacity constraints in depots and vehicles. This paper presents a hybrid methodology that combines agglomerative clustering techniques to generate initial solutions with an iterated local search algorithm (ILS to solve the problem. Although previous studies clustering methods have been proposed like strategies to generate initial solutions, in this work the search is intensified on the information generated after applying the clustering technique. Besides an extensive analysis on the performance of techniques, and their effect in the final solution is performed. The operation of the proposed methodology is feasible and effective to solve the problem regarding the quality of the answers and computational times obtained on request evaluated literature
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The Emergency Vehicle Routing Problem with Uncertain Demand under Sustainability Environments
Directory of Open Access Journals (Sweden)
Jin Qin
2017-02-01
Full Text Available The reasonable utilization of limited resources is critical to realize the sustainable developments. In the initial 72-h crucial rescue period after the disaster, emergency supplies have always been insufficient and the demands in the affected area have always been uncertain. In order to improve timeliness, utilization and sustainability of emergency service, the allocation of the emergency supplies and the emergency vehicle routes should be determined simultaneously. Assuming the uncertain demands follow normal distribution, an optimization model for the emergency vehicle routing, by considering the insufficient supplies and the uncertain demands, is developed. The objective function is applied to minimize the total costs, including the penalty costs induced by more or less supplies than the actual demands at all demand points, as well as the constraints of the time windows and vehicle load capacity taken into account. In more details, a solution method for the model, based on the genetic algorithm, is proposed, which solves the problem in two stages. A numerical example is presented to demonstrate the efficiency and validity of the proposed model and algorithm.
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Estimation of the ability to use a mass of air from a moving vehicle in wind turbine propulsion
Directory of Open Access Journals (Sweden)
Adam BAWORSKI
2015-09-01
Full Text Available This work presents division and classification of wind turbines according to the location of the axis of rotation and generated power. The work introduces applications of the wind turbines in electric energy generation with their direct development. The paper discusses indicators and exploitation parameters that characterize particular types of wind rotators. Dimension and construction factors, as well as work parameters, have been analyzed in order to choose the optimal rotator in the road infrastructure application. The aim of the analysis was to conduct further investigation to restore a mass of air from passing vehicles.
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Motives and career barriers choosing studies in Physics and Mathematics: gender aspects
Directory of Open Access Journals (Sweden)
Aldona, Augustiene
2010-04-01
Full Text Available This article discusses the concepts of professional motivation and career barriers from the gender point of view. The research problem is expressed in the following questions: what personal and socio-cultural factors motivate young people to choose Physics and Mathematics study programmes? Are there significant differences in expression of motives and career barriers among male and female students? The sample consisted of 86 undergraduate students: 45 females and 41 male. Respondents were asked to write down their reflections as a free text answering the question why did they make such a professional choice choosing Physics and Mathematics studies. Motives that influenced the choice of Physics and Mathematics mostly expressed the dimension of self-realization and the dimension of material achievements. It was also found that both personality and social-cultural factors were important in choosing Physics and Mathematics, i.e. sensation of vocation and professional aptitude, as well as encouragement of relatives and good evaluation of future profession’s status. There were also found differences in expression of motives and career barriers among male and female students.
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Directory of Open Access Journals (Sweden)
Xuanwu Chen
2016-04-01
Full Text Available Existing studies on modern roundabouts performance are mostly based on data from singe lane roundabouts that are not heavily congested. For planners and designers interested in building multilane roundabouts for intersections with potential growth in future traffic, there has been a lack of existing studies with field data that provide reference values in terms of capacity and delay measurements. With the intent of providing such reference values, a case study was conducted by using the East Dowling Road Roundabouts in Anchorage, Alaska, which are currently operating with extensive queues during the evening peak hours. This research used multiple video camcorders to capture vehicle turning movements at the roundabouts as well as the progression of vehicle queues at the roundabout entrance approaches. With these video records, the number of vehicles in the queues can be accurately counted in any single minute during the peak hours. This study shows that unbalanced entrance flow patterns (i.e., one entrance has significant higher flow than others can intensify the queue and delay for the overall roundabouts. Then various software packages including RODEL, SIDRA and VISSIM were used to estimate several performance measurements, such as capacity, queue length, and delay, compared with the collected field data. With the comparison, it is found that all the three software packages overestimate multi-lane roundabout capacity before calibration. With default parameters, SIDRA and VISSIM tend to underestimate delays and queue lengths for the multi-lane roundabouts under congestion, while RODEL results in higher delay and queue length estimations at most of the entrance approaches.
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Analysis of the Effects of Connected–Automated Vehicle Technologies on Travel Demand
Energy Technology Data Exchange (ETDEWEB)
Auld, Joshua [Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439; Sokolov, Vadim [Department of Systems Engineering and Operations Research, Volgenau School of Engineering, George Mason University, MS 4A6, 4400 University Drive, Fairfax, VA 22030; Stephens, Thomas S. [Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439
2017-01-01
Connected–automated vehicle (CAV) technologies are likely to have significant effects not only on how vehicles operate in the transportation system, but also on how individuals behave and use their vehicles. While many CAV technologies—such as connected adaptive cruise control and ecosignals—have the potential to increase network throughput and efficiency, many of these same technologies have a secondary effect of reducing driver burden, which can drive changes in travel behavior. Such changes in travel behavior—in effect, lowering the cost of driving—have the potential to increase greatly the utilization of the transportation system with concurrent negative externalities, such as congestion, energy use, and emissions, working against the positive effects on the transportation system resulting from increased capacity. To date, few studies have analyzed the potential effects on CAV technologies from a systems perspective; studies often focus on gains and losses to an individual vehicle, at a single intersection, or along a corridor. However, travel demand and traffic flow constitute a complex, adaptive, nonlinear system. Therefore, in this study, an advanced transportation systems simulation model—POLARIS—was used. POLARIS includes cosimulation of travel behavior and traffic flow to study the potential effects of several CAV technologies at the regional level. Various technology penetration levels and changes in travel time sensitivity have been analyzed to determine a potential range of effects on vehicle miles traveled from various CAV technologies.
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[The research protocol VI: How to choose the appropriate statistical test. Inferential statistics].
Flores-Ruiz, Eric; Miranda-Novales, María Guadalupe; Villasís-Keever, Miguel Ángel
2017-01-01
The statistical analysis can be divided in two main components: descriptive analysis and inferential analysis. An inference is to elaborate conclusions from the tests performed with the data obtained from a sample of a population. Statistical tests are used in order to establish the probability that a conclusion obtained from a sample is applicable to the population from which it was obtained. However, choosing the appropriate statistical test in general poses a challenge for novice researchers. To choose the statistical test it is necessary to take into account three aspects: the research design, the number of measurements and the scale of measurement of the variables. Statistical tests are divided into two sets, parametric and nonparametric. Parametric tests can only be used if the data show a normal distribution. Choosing the right statistical test will make it easier for readers to understand and apply the results.
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The research protocol VI: How to choose the appropriate statistical test. Inferential statistics
Directory of Open Access Journals (Sweden)
Eric Flores-Ruiz
2017-10-01
Full Text Available The statistical analysis can be divided in two main components: descriptive analysis and inferential analysis. An inference is to elaborate conclusions from the tests performed with the data obtained from a sample of a population. Statistical tests are used in order to establish the probability that a conclusion obtained from a sample is applicable to the population from which it was obtained. However, choosing the appropriate statistical test in general poses a challenge for novice researchers. To choose the statistical test it is necessary to take into account three aspects: the research design, the number of measurements and the scale of measurement of the variables. Statistical tests are divided into two sets, parametric and nonparametric. Parametric tests can only be used if the data show a normal distribution. Choosing the right statistical test will make it easier for readers to understand and apply the results.
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Diapers: What do Parents Choose and Why?
Shanon, Amir; Feldman, William; James, William; Dulberg, Corinne
1990-01-01
Self-administered questionnaires about diaper choices and the reasons for such choices were completed by 600 parents of children younger than two years of age attending a hospital walk-in clinic or the private office of one of four pediatricians. Only 2.7% of the parents used cloth alone; another 15% used both cloth and disposable diapers; a further 18% reported having used cloth at some time. Convenience and rash prevention were reasons for choosing disposable diapers. Those who used only cl...
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Electric and hydrogen consumption analysis in plug-in road vehicles
Energy Technology Data Exchange (ETDEWEB)
Ribau, Joao P.; Silva, Carla M.; Faria, Tiago L. [IDMEC, Instituto Superior Tecnico, Technical University of Lisbon, Department of Mechanical Engineering, Av. Rovisco Pais, 1 Pav. Mecanica I, 2 andar, 1049-001 Lisboa (Portugal)
2010-07-01
The main goal of the present study is to analyze some of the capabilities and behavior of two types of plug-in cars: battery electric and hydrogen fuel cell hybrid electric, facing different driving styles, different road gradients, different occupation rates, different electrical loads, and different battery's initial state of charge. In order to do that, four vehicles with different power/weight (kW/kg) ratio (0.044 to 0.150) were simulated in the software ADVISOR, which gives predictions of energy consumption, and behavior of vehicle's power train components (including energy regeneration) along specified driving cycles. The required energy, electricity and/or hydrogen, to overcome the specified driving schedules, allowed to estimate fuel life cycle's CO2 emissions and primary energy. A vehicle with higher power/weight ratio (kW/kg) demonstrated to be less affected in operation and in variation of the energy consumption, facing the different case studies, however may have higher consumptions in some cases. The autonomy, besides depending on the fuel consumption, is directly associated with the type and capacity (kWh) of the chosen battery, plus the stored hydrogen (if fuel cell vehicles are considered, PHEV-FC). The PHEV-FC showed to have higher autonomy than the battery vehicles, but higher energy consumption which is extremely dependent on the type and ratio of energy used, hydrogen or electricity. An aggressive driving style, higher road gradient and increase of weight, required more energy and power to the vehicle and presented consumption increases near to 77%, 621%, 19% respectively. Higher electrical load and battery's initial state of charge, didn't affect directly vehicle's dynamic. The first one drained energy directly from the battery plus demanded a fraction of its power, with energy consumption maximum increasing near 71%. The second one restricted the autonomy without influence directly the energy consumption per
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Near-Capacity Coding for Discrete Multitone Systems with Impulse Noise
Directory of Open Access Journals (Sweden)
Kschischang Frank R
2006-01-01
Full Text Available We consider the design of near-capacity-achieving error-correcting codes for a discrete multitone (DMT system in the presence of both additive white Gaussian noise and impulse noise. Impulse noise is one of the main channel impairments for digital subscriber lines (DSL. One way to combat impulse noise is to detect the presence of the impulses and to declare an erasure when an impulse occurs. In this paper, we propose a coding system based on low-density parity-check (LDPC codes and bit-interleaved coded modulation that is capable of taking advantage of the knowledge of erasures. We show that by carefully choosing the degree distribution of an irregular LDPC code, both the additive noise and the erasures can be handled by a single code, thus eliminating the need for an outer code. Such a system can perform close to the capacity of the channel and for the same redundancy is significantly more immune to the impulse noise than existing methods based on an outer Reed-Solomon (RS code. The proposed method has a lower implementation complexity than the concatenated coding approach.
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Directory of Open Access Journals (Sweden)
Brahim Mebarki
2013-01-01
Full Text Available The car occupies the daily universe of our society; however, noise pollution, global warming gas emissions, and increased fuel consumption are constantly increasing. The electric vehicle is one of the recommended solutions by the raison of its zero emission. Heating and air-conditioning (HVAC system is a part of the power system of the vehicle when the purpose is to provide complete thermal comfort for its occupants, however it requires far more energy than any other car accessory. Electric vehicles have a low-energy storage capacity, and HVAC may consume a substantial amount of the total energy stored, considerably reducing the vehicle range, which is one of the most important parameters for EV acceptability. The basic goal of this paper is to simulate the air-conditioning system impact on the power energy source of an electric vehicle powered by a lithium-ion battery.
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Why Do Patients Choose to Consult Homeopaths? | McIntosh ...
African Journals Online (AJOL)
Background: Patients are using homeopathy in increasing numbers and not telling their doctors about it. It is important as family physicians that we understand the reasons why patients choose to consult homeopaths. It is important to know what our patients are looking for that they do not find in Western medicine.
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Study on the Vehicle Dynamic Load Considering the Vehicle-Pavement Coupled Effect
Xu, H. L.; He, L.; An, D.
2017-11-01
The vibration of vehicle-pavement interaction system is sophisticated random vibration process and the vehicle-pavement coupled effect was not considered in the previous study. A new linear elastic model of the vehicle-pavement coupled system was established in the paper. The new model was verified with field measurement which could reflect the real vibration between vehicle and pavement. Using the new model, the study on the vehicle dynamic load considering the vehicle-pavement coupled effect showed that random forces (centralization) between vehicle and pavement were influenced largely by vehicle-pavement coupled effect. Numerical calculation indicated that the maximum of random forces in coupled model was 2.4 times than that in uncoupled model. Inquiring the reason, it was found that the main vibration frequency of the vehicle non-suspension system was similar with that of the vehicle suspension system in the coupled model and the resonance vibration lead to vehicle dynamic load increase significantly.
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International Nuclear Information System (INIS)
Duarte, G.O.; Gonçalves, G.A.; Baptista, P.C.; Farias, T.L.
2015-01-01
Highlights: • Innovative methodology to estimate VSP fuel consumption based on public available data. • Model validation with accurate fuel consumption results (absolute deviation from 4.7% to 9.2%). • Best-selling vehicles in Portugal case study was developed for different driving cycles. - Abstract: A method to perform the energy characterization of a vehicle according to the specific power required while driving was developed using public vehicle certification data. Using a portable emission measurement system, fuel consumption was quantified in a second-by-second basis under on-road conditions for 19 vehicles (spark-ignition, compression-ignition and hybrids). This data allowed building generic curves of fuel consumption as a function of the specific power, according to Vehicle Specific Power methodology. Comparing on-road measurements and the model estimates, a R 2 higher than 0.9 for conventional and hybrid vehicles was obtained regarding modal fuel consumption. Comparing the fuel consumption measured on the drive cycles performed by each vehicle and the correspondent estimates, an absolute deviation of 9.2% ± 9.2% was found for conventional vehicles and 4.7% ± 1.8% for hybrids vehicles. This methodology was validated and applied to estimate the energy impacts of the best-selling vehicles in Portugal for different driving cycles. This prompt method, that does not require vehicle monitoring, can estimate curves of fuel consumption in g/s, as a function of specific power, which allows quantifying the absolute fuel use for any driving cycle
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Do prostate cancer patients want to choose their own radiation treatment?
International Nuclear Information System (INIS)
Tol-Geerdink, Julia J. van; Stalmeier, Peep F.M.; Lin, Emile N.J.T. van; Schimmel, Erik C.; Huizenga, Henk; Daal, Wim A.J. van; Leer, Jan-Willem
2006-01-01
Purpose: The aims of this study were to investigate whether prostate cancer patients want to be involved in the choice of Radiation dose, and which patients want to be involved. Methods and Materials: This prospective study involved 150 patients with localized prostate cancer treated with three-dimensional conformal radiotherapy. A decision aid was used to explain the effects of two alternative radiation doses (70 and 74 Gy) in terms of cure and side effects. Patients were then asked whether they wanted to choose their treatment (accept choice), or leave the decision to the physician (decline choice). The treatment preference was carried out. Results: Even in this older population (mean age, 70 years), most patients (79%) accepted the option to choose. A lower score on the designations Pre-existent bowel morbidity, Anxiety, Depression, Hopelessness and a higher score on Autonomy and Numeracy were associated with an increase in choice acceptance, of which only Hopelessness held up in multiple regression (p < 0.03). The uninformed participation preference at baseline was not significantly related to choice acceptance (p = 0.10). Conclusion: Uninformed participation preference does not predict choice behavior. However, once the decision aid is provided, most patients want to choose their treatment. It should, therefore, be considered to inform patients first and ask participation preferences afterwards
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Choosing R&D or advertising for competing firms in uncertain market
Directory of Open Access Journals (Sweden)
Bo Xie
2014-06-01
Full Text Available Purpose: R&D and advertising have become important means to enhance the competitiveness of firms’ products. Design an appropriate model to help the firm to make the right choice is value in supply chain.Design/methodology/approach: In considering that whether the market is completely covered or not, we build the strategy selection model for R&D and advertising for two competing firms and solve the optimal strategy.Findings and Originality/value: The research results show that when a firm does not take any measures to enhance competitiveness, another firm will neither. However when one takes measures to improve the competitiveness, another will do so, also. When two firms must choose one measure to improve the competitiveness, either in full-covered market or not full-covered market, the two firms will not choose to do advertising in step, even if the firms do not have to pay additional cost in advertising.Originality/value: In the game model, the firm could compare the own profit in different strategies. According to the above model, the firm choose the right strategy to make the profit maximize in a vertically differentiated market. And when the firm make the choice, it must think about other primary elements such as market.
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Choosing a public-spirited leader
DEFF Research Database (Denmark)
Markussen, Thomas; Tyran, Jean-robert
2017-01-01
In this experiment, voters select a leader who can either act in the public interest, i.e. make efficient and equitable policy choices, or act in a corrupt way, i.e. use public funds for private gain. Voters can observe candidates⿿ pro-social behavior and their score in a cognitive ability test...... prior to the election, and this fact is known to candidates. Therefore, self-interested candidates have incentives to act in a pro-social manner, i.e. to pretend to be public-spirited leaders. We find that both truly pro-social and egoistic leaders co-exist, but that political selection is ineffective...... in choosing public-spirited leaders. The main reason is that egoistic candidates strategically pretend to be pro-social to increase their chances of winning the election....
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Influence of Urban Traffic Driving Conditions and Vehicle Cubic Capacity on CO and VOC Emissions
Directory of Open Access Journals (Sweden)
Arina Negoitescu
2013-09-01
Full Text Available The reports regarding the global warming warn on the urgent need to reduce pollutant emissions and in particular greenhouse emissions. The performed analysis shows that cars equipped with engines operating on petrol, lead to a lower level of pollution, from the point of view of CO (carbon monoxide and VOCs (volatile organic compounds emissions at speeds above 50km/ h. Since driving in urban traffic mode involves driving with a speed up to 50km/h, it was comparatively analyzed the automobile engines operation with different cubic capacities. In conclusion, in terms of the analyzed emissions in accordance with the emission standards requirements for urban driving situations, it results that the accepted values of these emissions are recorded for automobile engines of low cubic capacities (under 1.4 l.
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A Water Vapor Differential Absorption LIDAR Design for Unpiloted Aerial Vehicles
DeYoung, Russell J.; Mead, Patricia F.
2004-01-01
This system study proposes the deployment of a water vapor Differential Absorption LIDAR (DIAL) system on an Altair unmanned aerial vehicle (UAV) platform. The Altair offers improved payload weight and volume performance, and longer total flight time as compared to other commercial UAV's. This study has generated a preliminary design for an Altair based water vapor DIAL system. The design includes a proposed DIAL schematic, a review of mechanical challenges such as temperature and humidity stresses on UAV deployed DIAL systems, an assessment of the available capacity for additional instrumentation (based on the proposed design), and an overview of possible weight and volume improvements associated with the use of customized electronic and computer hardware, and through the integration of advanced fiber-optic and laser products. The results of the study show that less than 17% of the available weight, less than 19% of the volume capacity, and approximately 11% of the electrical capacity is utilized by the proposed water vapor DIAL system on the Altair UAV.
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Jansen, S.T.H.; van Boekel, J.J.P.; Iersel, van S.S.; Besselink, I.J.M.; Nijmeijer, H.
2013-01-01
The driving range of electric vehicles can be extended using regenerative braking. Regenerative braking uses the electric drive system, and therefore only the driven wheels, for decelerating the vehicle. Braking on one axle affects the stability of the vehicle, especially for road conditions with
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Jansen, S.T.H.; Boekel, J.J.P. van; Iersel, S.S. van; Besselink, I.J.M.; Nijmeijer, H.
2013-01-01
The driving range of electric vehicles can be extended using regenerative braking. Regenerative braking uses the elctric drive system, and therefore only the driven wheels, for decelerating the vehicle. Braking on one axle affects the stability of the vehicle, especially for road conditions with
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Kurtz, D.; Roan, V.
1985-01-01
The JPL Electric and Hybrid Vehicle System Research and Development Project was established in the spring of 1977. Originally administered by the Energy Research and Development Administration (ERDA) and later by the Electric and Hybrid Vehicle Division of the U.S. Department of Energy (DOE), the overall Program objective was to decrease this nation's dependence on foreign petroleum sources by developing the technologies and incentives necessary to bring electric and hybrid vehicles successfully into the marketplace. The ERDA/DOE Program structure was divided into two major elements: (1) technology research and system development and (2) field demonstration and market development. The Jet Propulsion Laboratory (JPL) has been one of several field centers supporting the former Program element. In that capacity, the specific historical areas of responsibility have been: (1) Vehicle system developments (2) System integration and test (3) Supporting subsystem development (4) System assessments (5) Simulation tool development.
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Optimizing plug-in electric vehicle charging in interaction with a small office building
Energy Technology Data Exchange (ETDEWEB)
Momber, Ilan; Gomez, Tomas [Instituto de Investigacion Tecnologica (IIT), Madrid (Spain); Dallinger, David; Beer, Sebastian; Wietschel, Martin [Fraunhofer Institute for Systems and Innovation Research, Karlsruhe (Germany). Competence Center Energy Policy and Energy Systems; Marnay, Chris; Stadler, Michael [Lawrence Berkeley Lab., CA (United States)
2011-07-01
This paper considers the integration of plug-in electric vehicles (PEVs) in micro-grids. Extending a theoretical framework for mobile storage connection, the economic analysis here turns to the interactions of commuters and their driving behavior with office buildings. An illustrative example for a real office building is reported. The chosen system includes solar thermal, photovoltaic, combined heat and power generation as well as an array of plug-in electric vehicles with a combined aggregated capacity of 864 kWh. With the benefit-sharing mechanism proposed here and idealized circumstances, estimated cost savings of 5% are possible. Different pricing schemes were applied which include flat rates, demand charges, as well as hourly variable final customer tariffs and their effects on the operation of intermittent storage were revealed and examined in detail. Because the plug-in electric vehicle connection coincides with peak heat and electricity loads as well as solar radiation, it is possible to shift energy demand as desired in order to realize cost savings. (orig.)
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Energy Technology Data Exchange (ETDEWEB)
Aurich, Joerg; Baumgart, Rico; Unwerth, Thomas von [TU Chemnitz (Germany). Professur Alternative Fahrzeugantriebe
2012-07-01
Currently, the development of energy efficient air conditioning systems for electric-powered vehicles is one of the most difficult challenges because the reach of these vehicles significantly is influenced by the air-conditioning systems in part. For this reason, computational models have been developed at the Technical University of Chemnitz (Federal Republic of Germany) in order to simulate and optimize the processes in car air conditioning and passenger cabin. The passenger cabin model has now been extended by a simplified model of comfort which will be presented in more detail in the contribution under consideration. Under consideration of the occupants comfort, these models help to investigate the impact of the various optimization measures on the necessary amount of cooling capacity and the range of the vehicle. The calculations were made both for summerly and for winterly environmental conditions. As shown in detail, the required cooling capacity can be reduced by reducing the degree of transmittance of the windows for example in the summer. However, in contrast the heating power increases in the winter due to the lower solar heat input which in turn reduces the achievable range of electric-powered vehicles.
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41 CFR 102-34.85 - What motor vehicles require motor vehicle identification?
2010-07-01
... 41 Public Contracts and Property Management 3 2010-07-01 2010-07-01 false What motor vehicles require motor vehicle identification? 102-34.85 Section 102-34.85 Public Contracts and Property Management... 34-MOTOR VEHICLE MANAGEMENT Identifying and Registering Motor Vehicles Motor Vehicle Identification...
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DEFF Research Database (Denmark)
Brønsted, Jeppe Rørbæk
2008-01-01
location aware infotainment, increase safety, and lessen environmental strain. This dissertation is about service oriented architecture for pervasive computing with an emphasis on vehicle to vehicle applications. If devices are exposed as services, applications can be created by composing a set of services...... be evaluated. Service composition mechanisms for pervasive computing are categorized and we discuss how the characteristics of pervasive computing can be supported by service composition mechanisms. Finally, we investigate how to make pervasive computing systems capable of being noticed and understood...
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Directory of Open Access Journals (Sweden)
Ning Wang
2015-12-01
Full Text Available An empirical study in Shanghai was performed to explore consumers’ use willingness and opinions on electric vehicle sharing (EVS to help operators effectively operate and expand the new business model. Through the multinomial logistic regression developed for different groups, the results show that the factors of the main trip mode in daily use, monthly transportation expenditure, driving range of electric vehicles, gender, age, marital status and occupation have significant influences on consumers’ use willingness. In short, the population characteristics of people choosing to use EVS are male, aged between 18 and 30 and usually taking the subway and bus as the daily transportation modes. Otherwise, the factors of the acceptable highest price of EVS, occupation and personal monthly income have significant impacts on the use willingness of people who keep a neutral stance. These people pay more attention to convenience and the economy of EVS. These results reveal that a reasonable price, accurate positioning of target groups, convenient site layout and usage are required for operators to successfully launch a new transportation mode of EVS.
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International Nuclear Information System (INIS)
Sena, P.A.
1986-01-01
The ground vehicle is one of the most effective tools available to an adversary force. Vehicles can be used to penetrate many types of perimeter barriers, transport equipment and personnel rapidly over long distances, and deliver large amounts of explosives directly to facilities in suicide missions. The function of a vehicle barrier system is to detain or disable a defined threat vehicle at a selected distance from a protected facility. Numerous facilities are installing, or planning to install, vehicle barrier systems and many of these facilities are requesting guidance to do so adequately. Therefore, vehicle barriers are being evaluated to determine their stopping capabilities so that systems can be designed that are both balanced and capable of providing a desired degree of protection. Equally important, many of the considerations that should be taken into account when establishing a vehicle barrier system have been identified. These considerations which pertain to site preparation, barrier selection, system integration and operation, and vehicle/barrier interaction, are discussed in this paper
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Connected vehicle applications : safety.
2016-01-01
Connected vehicle safety applications are designed to increase situational awareness : and reduce or eliminate crashes through vehicle-to-infrastructure, vehicle-to-vehicle, : and vehicle-to-pedestrian data transmissions. Applications support advisor...
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ALGORITHM TO CHOOSE ENERGY GENERATION MULTIPLE ROLE STATION
Directory of Open Access Journals (Sweden)
Alexandru STĂNESCU
2014-05-01
Full Text Available This paper proposes an algorithm that is based on a complex analysis method that is used for choosing the configuration of a power station. The station generates electric energy and hydrogen, and serves a "green" highway. The elements that need to be considered are: energy efficiency, location, availability of primary energy sources in the area, investment cost, workforce, environmental impact, compatibility with existing systems, meantime between failure.
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CHOOSING THE RIGHT CLOUD COMPUTING SOLUTION FOR YOU
Dan Smedescu
2013-01-01
This article provides an introduction to cloud computing and choosing a vendor. The first part includes definitions and service models while the body of the article lists pros and cons for specific service models and discusses the cost efficiency of implementing a cloud computing solution. In the last part, a general overview of cloud computing advantages and disadvantages further helps to inform the reader of opportunities and pitfalls.
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Directory of Open Access Journals (Sweden)
Xudong Zhang
2017-01-01
Full Text Available This paper presents an integrated traction control strategy (ITCS for distributed drive electric vehicles. The purpose of the proposed strategy is to improve vehicle economy and longitudinal driving stability. On high adhesion roads, economy optimization algorithm is applied to maximize motors efficiency by means of the optimized torque distribution. On low adhesion roads, a sliding mode control (SMC algorithm is implemented to guarantee the wheel slip ratio around the optimal slip ratio point to make full use of road adhesion capacity. In order to avoid the disturbance on slip ratio calculation due to the low vehicle speed, wheel rotational speed is taken as the control variable. Since the optimal slip ratio varies according to different road conditions, Bayesian hypothesis selection is utilized to estimate the road friction coefficient. Additionally, the ITCS is designed for combining the vehicle economy and stability control through three traction allocation cases: economy-based traction allocation, pedal self-correcting traction allocation and inter-axles traction allocation. Finally, simulations are conducted in CarSim and Matlab/Simulink environment. The results show that the proposed strategy effectively reduces vehicle energy consumption, suppresses wheels-skid and enhances the vehicle longitudinal stability and dynamic performance.
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Choosing a Wiki Platform for Student Projects--Lessons Learned
Malaga, Ross A.
2010-01-01
Wikis offer many benefits, such as two-way flows of information, early and consistent feedback, and greater student group collaboration, in an educational setting. Some researchers have already reported on the use of Wikis in their classes. However, instructors must choose an appropriate Wiki platform in order to receive all of the benefits of…
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Vehicle following controller design for autonomous intelligent vehicles
Chien, C. C.; Lai, M. C.; Mayr, R.
1994-01-01
A new vehicle following controller is proposed for autonomous intelligent vehicles. The proposed vehicle following controller not only provides smooth transient maneuvers for unavoidable nonzero initial conditions but also guarantees the asymptotic platoon stability without the availability of feedforward information. Furthermore, the achieved asymptotic platoon stability is shown to be robust to sensor delays and an upper bound for the allowable sensor delays is also provided in this paper.
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2013-04-30
This report discusses light-vehicle crash countermeasure profiles and functions for five target pre-crash scenario groups based on vehicle-to-vehicle (V2V) communications. Target pre-crash scenario groups include rear-end, lane change, opposite direc...
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High-Capacity Cathode Material with High Voltage for Li-Ion Batteries.
Shi, Ji-Lei; Xiao, Dong-Dong; Ge, Mingyuan; Yu, Xiqian; Chu, Yong; Huang, Xiaojing; Zhang, Xu-Dong; Yin, Ya-Xia; Yang, Xiao-Qing; Guo, Yu-Guo; Gu, Lin; Wan, Li-Jun
2018-03-01
Electrochemical energy storage devices with a high energy density are an important technology in modern society, especially for electric vehicles. The most effective approach to improve the energy density of batteries is to search for high-capacity electrode materials. According to the concept of energy quality, a high-voltage battery delivers a highly useful energy, thus providing a new insight to improve energy density. Based on this concept, a novel and successful strategy to increase the energy density and energy quality by increasing the discharge voltage of cathode materials and preserving high capacity is proposed. The proposal is realized in high-capacity Li-rich cathode materials. The average discharge voltage is increased from 3.5 to 3.8 V by increasing the nickel content and applying a simple after-treatment, and the specific energy is improved from 912 to 1033 Wh kg -1 . The current work provides an insightful universal principle for developing, designing, and screening electrode materials for high energy density and energy quality. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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Choosing nuclear engineering: A survey of nuclear engineering undergraduates
International Nuclear Information System (INIS)
Shillenn, J.K.; Klevans, E.H.
1988-01-01
Maintaining a reliable pool of qualified nuclear engineering graduates depends on the ability of nuclear engineering undergraduate programs to recruit students. With the prospect of declining enrollments in nuclear engineering it is important for nuclear engineering programs to know what factors influence students to choose nuclear engineering as an undergraduate major and why they choose a particular undergraduate program. This type of information can be very important to nuclear engineering programs that develop recruiting strategies. To provide some insight into this area, a questionnaire was designed and given to undergraduate nuclear engineering students at Pennsylvania State University. The purpose of the survey was to provide information on the reasons that students picked nuclear engineering as a career and chose to attend Penn State. The questionnaire was given to 27 students in their junior year during the spring semester of 1987 and again to 35 junior students during the spring semester of 1988. There was little difference except as noted between the two groups on their responses to the questionnaire. A partial listing of the survey results is provided
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The Comparison of Iranian and Foreign Students’ Motivations to Choose Dentistry Field of Study
Directory of Open Access Journals (Sweden)
Abdolreza Gilavand
2016-06-01
Full Text Available Background Because of some special and privileged attractions of dentistry discipline, the first choice of volunteers who want to enter university is dentistry. The students usually choose it regardless to their interests and talents. Therefore, this study aimed to investigate Iranian and Foreign student’s motivations to choose dentistry field of study. Materials and Methods We searched international databases such as PubMed, Scopus, EMBASE, Cochrane Library, and Iranian databases such as SID, Magiran, Iranmedex using a searching strategy during 2000 to 2015 years. Database without language restriction, since 2000 sources, with the MeSH term "Choose dentistry field" AND "Students". At first, in the initial search,152 articles were found, and finally, 51 of them which were related to the subject of this research were used. Results In general, the motivation of students to choose field of study in Iranain and Foreign students include the following:: an independent office or job independence, high economic income, appropriate social status, job attractiveness of dentistry, appropriate job position, individual longing, help others, top rank of student in the university entrance exam, continue to study at specialized PhD in one of dentistry trends, successful marriage nd interest in the field of dentistry. Conclusion It seems that with regard to the high unemployment rate of university graduates in Iran, the most important incentives of applicants who want to enter the dentistry discipline are high income and particular social prestige at this major. Moreover, high income and independent job situations are the most important factors in Foreign students for choosing this filed of study in the overseas studies.
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Choosing Money over Drugs: The Neural Underpinnings of Difficult Choice in Chronic Cocaine Users.
Wesley, Michael J; Lohrenz, Terry; Koffarnus, Mikhail N; McClure, Samuel M; De La Garza, Richard; Salas, Ramiro; Thompson-Lake, Daisy G Y; Newton, Thomas F; Bickel, Warren K; Montague, P Read
2014-01-01
Addiction is considered a disorder that drives individuals to choose drugs at the expense of healthier alternatives. However, chronic cocaine users (CCUs) who meet addiction criteria retain the ability to choose money in the presence of the opportunity to choose cocaine. The neural mechanisms that differentiate CCUs from non-cocaine using controls (Controls) while executing these preferred choices remain unknown. Thus, therapeutic strategies aimed at shifting preferences towards healthier alternatives remain somewhat uninformed. This study used BOLD neuroimaging to examine brain activity as fifty CCUs and Controls performed single- and cross-commodity intertemporal choice tasks for money and/or cocaine. Behavioral analyses revealed preferences for each commodity type. Imaging analyses revealed the brain activity that differentiated CCUs from Controls while choosing money over cocaine. We observed that CCUs devalued future commodities more than Controls. Choices for money as opposed to cocaine correlated with greater activity in dorsal striatum of CCUs, compared to Controls. In addition, choices for future money as opposed to immediate cocaine engaged the left dorsolateral prefrontal cortex (DLPFC) of CCUs more than Controls. These data suggest that the ability of CCUs to execute choices away from cocaine relies on activity in the dorsal striatum and left DLPFC.
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State-of-the-art assessment of electric vehicles and hybrid vehicles
1977-01-01
The Electric and Hybrid Vehicle Research, Development, and Demonstration Act of 1976 (PL 94-413) requires that data be developed to characterize the state of the art of vehicles powered by an electric motor and those propelled by a combination of an electric motor and an internal combustion engine or other power sources. Data obtained from controlled tests of a representative number of sample vehicles, from information supplied by manufacturers or contained in the literature, and from surveys of fleet operators of individual owners of electric vehicles is discussed. The results of track and dynamometer tests conducted by NASA on 22 electric, 2 hybrid, and 5 conventional vehicles, as well as on 5 spark-ignition-engine-powered vehicles, the conventional counterparts of 5 of the vehicles, are presented.
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Reflecting on the challenges of choosing and using a grounded theory approach.
Markey, Kathleen; Tilki, Mary; Taylor, Georgina
2014-11-01
To explore three different approaches to grounded theory and consider some of the possible philosophical assumptions underpinning them. Grounded theory is a comprehensive yet complex methodology that offers a procedural structure that guides the researcher. However, divergent approaches to grounded theory present dilemmas for novice researchers seeking to choose a suitable research method. This is a methodology paper. This is a reflexive paper that explores some of the challenges experienced by a PhD student when choosing and operationalising a grounded theory approach. Before embarking on a study, novice grounded theory researchers should examine their research beliefs to assist them in selecting the most suitable approach. This requires an insight into the approaches' philosophical assumptions, such as those pertaining to ontology and epistemology. Researchers need to be clear about the philosophical assumptions underpinning their studies and the effects that different approaches will have on the research results. This paper presents a personal account of the journey of a novice grounded theory researcher who chose a grounded theory approach and worked within its theoretical parameters. Novice grounded theory researchers need to understand the different philosophical assumptions that influence the various grounded theory approaches, before choosing one particular approach.
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Connected vehicle application : safety.
2015-01-01
Connected vehicle safety applications are designed to increase situational awareness : and reduce or eliminate crashes through vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V), and vehicle-to-pedestrian (V2P) data transmissions. Applications...
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Choosing the Right Systems Integration
Directory of Open Access Journals (Sweden)
Péči Matúš
2014-12-01
Full Text Available The paper examines systems integration and its main levels at higher levels of control. At present, the systems integration is one of the main aspects participating in the consolidation processes and financial flows of a company. Systems Integration is a complicated emotionconsuming process and it is often a problem to choose the right approach and level of integration. The research focused on four levels of integration, while each of them is characterized by specific conditions. At each level, there is a summary of recommendations and practical experience. The paper also discusses systems integration between the information and MES levels. The main part includes user-level integration where we describe an example of such integration. Finally, we list recommendations and also possible predictions of the systems integration as one of the important factors in the future.
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Choosing the Future You Prefer. A Goal Setting Guide.
Lindaman, Edward B.; Lippitt, Ronald O.
The guide, intended for group and organization leaders, presents activities and exercises to aid in personal and group goal-setting and planning for the future. The objective is to help groups choose goals which are sensitive to and oriented toward the evolving future with its rapid rate of change. The guide is presented in eight chapters.…
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Choosing the right career: What approach? Implications for career ...
African Journals Online (AJOL)
The presentation made here accepts the thesis that the choice of career is not a simple matter. In fact, it asserts that more than ever before, the choice of a career on a training programme now requires a lot of thinking as well as taking into consideration several factors before choosing, planning and entering into a particular ...
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RFID-based vehicle positioning and its applications in connected vehicles.
Wang, Jianqiang; Ni, Daiheng; Li, Keqiang
2014-03-04
This paper proposed an RFID-based vehicle positioning approach to facilitate connected vehicles applications. When a vehicle passes over an RFID tag, the vehicle position is given by the accurate position stored in the tag. At locations without RFID coverage, the vehicle position is estimated from the most recent tag location using a kinematics integration algorithm till updates from the next tag. The accuracy of RFID positioning is verified empirically in two independent ways with one using radar and the other a photoelectric switch. The former is designed to verify whether the dynamic position obtained from RFID tags matches the position measured by radar that is regarded as accurate. The latter aims to verify whether the position estimated from the kinematics integration matches the position obtained from RFID tags. Both means supports the accuracy of RFID-based positioning. As a supplement to GPS which suffers from issues such as inaccuracy and loss of signal, RFID positioning is promising in facilitating connected vehicles applications. Two conceptual applications are provided here with one in vehicle operational control and the other in Level IV intersection control.
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Toward an Effective Long-Term Strategy for Preventing Motor Vehicle Crashes and Injuries
Directory of Open Access Journals (Sweden)
Anthony R. Mawson
2014-08-01
Full Text Available Casualties due to motor vehicle crashes (MVCs include some 40,000 deaths each year in the United States and one million deaths worldwide. One strategy that has been recommended for improving automobile safety is to lower speed limits and enforce them with speed cameras. However, motor vehicles can be hazardous even at low speeds whereas properly protected human beings can survive high-speed crashes without injury. Emphasis on changing driver behavior as the focus for road safety improvements has been largely unsuccessful; moreover, drivers today are increasingly distracted by secondary tasks such as cell phone use and texting. Indeed, the true limiting factor in vehicular safety is the capacity of human beings to sense and process information and to make rapid decisions. Given that dramatic reductions in injuries and deaths from MVCs have occurred over the past century due to improvements in safety technology, despite increases in the number of vehicles on the road and miles driven per vehicle, we propose that an effective long-term strategy for reducing MVC-related injury would be continued technological innovation in vehicle design, aimed at progressively removing the driver from routine operational decision-making. Once this is achieved, high rates of speed could be achieved on open highways, with minimal risk of crashes and injury to occupants and pedestrians.
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Toward an effective long-term strategy for preventing motor vehicle crashes and injuries.
Mawson, Anthony R; Walley, E Kenneth
2014-08-11
Casualties due to motor vehicle crashes (MVCs) include some 40,000 deaths each year in the United States and one million deaths worldwide. One strategy that has been recommended for improving automobile safety is to lower speed limits and enforce them with speed cameras. However, motor vehicles can be hazardous even at low speeds whereas properly protected human beings can survive high-speed crashes without injury. Emphasis on changing driver behavior as the focus for road safety improvements has been largely unsuccessful; moreover, drivers today are increasingly distracted by secondary tasks such as cell phone use and texting. Indeed, the true limiting factor in vehicular safety is the capacity of human beings to sense and process information and to make rapid decisions. Given that dramatic reductions in injuries and deaths from MVCs have occurred over the past century due to improvements in safety technology, despite increases in the number of vehicles on the road and miles driven per vehicle, we propose that an effective long-term strategy for reducing MVC-related injury would be continued technological innovation in vehicle design, aimed at progressively removing the driver from routine operational decision-making. Once this is achieved, high rates of speed could be achieved on open highways, with minimal risk of crashes and injury to occupants and pedestrians.
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Tri-Laboratory Linux Capacity Cluster 2007 SOW
Energy Technology Data Exchange (ETDEWEB)
Seager, M
2007-03-22
). However, given the growing need for 'capability' systems as well, the budget demands are extreme and new, more cost effective ways of fielding these systems must be developed. This Tri-Laboratory Linux Capacity Cluster (TLCC) procurement represents the ASC first investment vehicle in these capacity systems. It also represents a new strategy for quickly building, fielding and integrating many Linux clusters of various sizes into classified and unclassified production service through a concept of Scalable Units (SU). The programmatic objective is to dramatically reduce the overall Total Cost of Ownership (TCO) of these 'capacity' systems relative to the best practices in Linux Cluster deployments today. This objective only makes sense in the context of these systems quickly becoming very robust and useful production clusters under the crushing load that will be inflicted on them by the ASC and SSP scientific simulation capacity workload.
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Tri-Laboratory Linux Capacity Cluster 2007 SOW
International Nuclear Information System (INIS)
Seager, M.
2007-01-01
well, the budget demands are extreme and new, more cost effective ways of fielding these systems must be developed. This Tri-Laboratory Linux Capacity Cluster (TLCC) procurement represents the ASC first investment vehicle in these capacity systems. It also represents a new strategy for quickly building, fielding and integrating many Linux clusters of various sizes into classified and unclassified production service through a concept of Scalable Units (SU). The programmatic objective is to dramatically reduce the overall Total Cost of Ownership (TCO) of these 'capacity' systems relative to the best practices in Linux Cluster deployments today. This objective only makes sense in the context of these systems quickly becoming very robust and useful production clusters under the crushing load that will be inflicted on them by the ASC and SSP scientific simulation capacity workload.
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Germeni, Evi; Schulz, Peter J
2016-01-01
Background Web users are increasingly encouraged to rate and review consumer services (eg, hotels, restaurants) and, more recently, this is also the case for physicians and medical services. The resemblance in the setup and design of commercial rating websites (CRWs) and Web-based physician rating websites (PRWs) raises the question of whether choice-making processes based on the two types of websites could also be similar. Objective This qualitative study sought to explore the extent to which consumer decision making based on Web-based reviews is the same for consumer services (ie, choice of a hotel) and health services (ie, choice of a pediatrician), while providing an in-depth understanding of potential differences or similarities. Methods Between June and August 2015, we carried out a total of 22 qualitative interviews with young parents residing in the German-speaking part of Switzerland. Participants were invited to complete 2 choice tasks, which involved (1) choosing a hotel based on the commercial Web-based rating website TripAdvisor and (2) selecting a pediatrician based on the PRW Jameda. To better understand consumers’ thought processes, we instructed participants to “think aloud”, namely to verbalize their thinking while sorting through information and reaching decisions. Using a semistructured interview guide, we subsequently posed open-ended questions to allow them to elaborate more on factors influencing their decision making, level of confidence in their final choice, and perceived differences and similarities in their search for a hotel and a physician. All interviews were recorded, transcribed, and analyzed using an inductive thematic approach. Results Participants spent on average 9:57 minutes (standard deviation=9:22, minimum=3:46, maximum=22:25) searching for a hotel and 6:17 minutes (standard deviation=4:47, minimum=00:38, maximum=19:25) searching for a pediatrician. Although the choice of a pediatrician was perceived as more important
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Estimating national exhaust emissions from railway vehicles in Turkey
International Nuclear Information System (INIS)
Dincer, Faruk; Elbir, Tolga
2007-01-01
The estimated exhaust emissions from railway vehicles in Turkey were presented. The emissions of nitrogen oxides (NO x ), hydrocarbon compounds (HC), carbon monoxide (CO), particulate matter (PM), sulfur dioxide (SO 2 ) and carbon dioxide (CO 2 ) from the diesel locomotives and railcars were calculated using the railway traffic data recorded by Turkish State Railways (TSR) for the period of 2000-2005. EPA emission factors were used for different vehicle types and operation modes such as shunting and line-hauling. Total emissions from railway vehicles in Turkey were estimated as 384 t y - 1 for HC, 1016 t y - 1 for CO, 6799 t y - 1 for NO X , 256 t y - 1 for PM, 357 t y - 1 for SO 2 and 383 537 t y - 1 for CO 2 for the year 2005. The distribution of emissions with respect to type of railway vehicles shows that the mainline locomotives contribute ∝ 91% to the total emissions. The increases of 22%, 39% and 49% in the current numbers of mainline locomotives, shunting locomotives and diesel railcars, respectively corresponding to the full capacity of railway network in Turkey will increase the annual emissions to 431 t y - 1 for HC, 1121 t y - 1 for CO, 7399 t y - 1 for NO X , 342 t y - 1 for PM, 552 t y - 1 for SO 2 and 420 256 t y - 1 for CO 2 . Total railway emissions constitute 0.15%, 0.08% and 4.21% of total Turkish traffic emissions for HC, CO and NO X , respectively. (author)
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Energy Technology Data Exchange (ETDEWEB)
NONE
1997-03-01
Research and development of battery, a main part of electric vehicle, have been promoted. Various batteries, such as lead battery, nickel-cadmium battery, nickel-hydrogen battery, lithium ion battery and so on, have been investigated for electric vehicles. Among these, nickel-hydrogen battery is superior to the others from the points of energy density, lifetime, low-temperature properties, and safety. It is one of the most prospective batteries for electric vehicle. Research and development of the nickel-hydrogen battery with higher energy density and longer lifetime have been promoted for the practical application by Tohoku Electric Power Co., Inc. This article shows main performance of the developed nickel-hydrogen battery for electric vehicle. The nominal voltage is 12 V, the rated capacity is 125 Ah, the outside dimension is L302{times}W170{times}H245 mm, the weight is 25.5 kg, the energy density is 60 Wh/kg, the output density is 180 W/kg, and the available environment temperature is between -20 and 60 {degree}C. 1 fig., 1 tab.
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International Nuclear Information System (INIS)
Graabak, Ingeborg; Wu, Qiuwei; Warland, Leif; Liu, Zhaoxi
2016-01-01
This paper presents the optimal planning of the Nordic backbone transmission system with 100% electric vehicle penetration of passenger cars by 2050. Electric vehicles will play an important role in the future energy systems and can reduce the greenhouse gas emission from the transport sector. However, the electric vehicles will increase the electricity consumption and might induce congestions in the transmission systems. In order to deal with the electricity consumption increase from the electric vehicle integration into the power system and maximize the social welfare, the optimal investments of the Nordic transmission system are studied. Case studies were conducted using the market simulation model EMPS (Efi's multi-area power market simulator) and two electric vehicle charging scenarios: a spot price based scenario and a dumb charging scenario. The electric vehicle charging power is assumed to be 3.68 kW with 1 phase 16 A. The complete electrification of the private passenger fleet increases the yearly power demand in the Nordic region with ca 7.5%. The profitable increases in transmission capacities are highest for dumb charging, but are very low for both dumb and spot price based charging compared to a Reference case. - Highlights: • The electric vehicle distribution is done using population and car statistics. • The 100% penetration electric vehicle demand is obtained for Nordic countries. • The optimal investments in the Nordic transmission system with electric vehicles are studied.
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More Young Black Men Choosing Not to Go to College.
Collison, Michele N-K
1987-01-01
More and more young Black males are choosing to enlist in the military, attend vocational and technical schools, or take jobs instead of going to college. Many yield to peer pressure and stop studying; further, role models do not exist for young Black men. (MLW)
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Broadband vehicle-to-vehicle communication using an extended autonomous cruise control sensor
Heddebaut, M.; Rioult, J.; Ghys, J. P.; Gransart, Ch; Ambellouis, S.
2005-06-01
For several years road vehicle autonomous cruise control (ACC) systems as well as anti-collision radar have been developed. Several manufacturers currently sell this equipment. The current generation of ACC sensors only track the first preceding vehicle to deduce its speed and position. These data are then used to compute, manage and optimize a safety distance between vehicles, thus providing some assistance to car drivers. However, in real conditions, to elaborate and update a real time driving solution, car drivers use information about speed and position of preceding and following vehicles. This information is essentially perceived using the driver's eyes, binocular stereoscopic vision performed through the windscreens and rear-view mirrors. Furthermore, within a line of vehicles, the frontal road perception of the first vehicle is very particular and highly significant. Currently, all these available data remain strictly on-board the vehicle that has captured the perception information and performed these measurements. To get the maximum effectiveness of all these approaches, we propose that this information be shared in real time with the following vehicles, within the convoy. On the basis of these considerations, this paper technically explores a cost-effective solution to extend the basic ACC sensor function in order to simultaneously provide a vehicle-to-vehicle radio link. This millimetre wave radio link transmits relevant broadband perception data (video, localization...) to following vehicles, along the line of vehicles. The propagation path between the vehicles uses essentially grazing angles of incidence of signals over the road surface including millimetre wave paths beneath the cars.
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Ortega, Jason M.; Salari, Kambiz; McCallen, Rose
2010-11-09
A vehicle underbody fairing apparatus for reducing aerodynamic drag caused by a vehicle wheel assembly, by reducing the size of a recirculation zone formed under the vehicle body immediately downstream of the vehicle wheel assembly. The fairing body has a tapered aerodynamic surface that extends from a front end to a rear end of the fairing body with a substantially U-shaped cross-section that tapers in both height and width. Fasteners or other mounting devices secure the fairing body to an underside surface of the vehicle body, so that the front end is immediately downstream of the vehicle wheel assembly and a bottom section of the tapered aerodynamic surface rises towards the underside surface as it extends in a downstream direction.
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"Can Vehicle-to-Grid Revenue Help Electric Vehicles on the Market?"
George R. Parsons; Michael K. Hidrue; Willett Kempton; Meryl P. Gardner
2011-01-01
Vehicle-to-grid (V2G) electric vehicles can return power stored in their batteries back to the power grid and be programmed to do so at times when power prices are high. Since providing this service can lead to payments to owners of vehicles, it effectively reduces the cost of electric vehicles. Using data from a national stated preference survey (n = 3029), this paper presents the first study of the potential consumer demand for V2G electric vehicles. In our choice experiment, 3029 responden...
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Vehicle technologies, fuel-economy policies, and fuel-consumption rates of Chinese vehicles
International Nuclear Information System (INIS)
Huo Hong; He Kebin; Wang, Michael; Yao Zhiliang
2012-01-01
One of the principal ways to reduce transport-related energy use is to reduce fuel-consumption rates of motor vehicles (usually measured in liters of fuel per 100 km). Since 2004, China has implemented policies to improve vehicle technologies and lower the fuel-consumption rates of individual vehicles. Policy evaluation requires accurate and adequate information on vehicle fuel-consumption rates. However, such information, especially for Chinese vehicles under real-world operating conditions, is rarely available from official sources in China. For each vehicle type we first review the vehicle technologies and fuel-economy policies currently in place in China and their impacts. We then derive real-world (or on-road) fuel-consumption rates on the basis of information collected from various sources. We estimate that the real-world fuel-consumption rates of vehicles in China sold in 2009 are 9 L/100 km for light-duty passenger vehicles, 11.4 L/100 km for light-duty trucks, 22 L/100 km for inter-city transport buses, 40 L/100 km for urban transit buses, and 24.9 L/100 km for heavy-duty trucks. These results aid in understanding the levels of fuel consumption of existing Chinese vehicle fleets and the effectiveness of policies in reducing on-road fuel consumption, which can help in designing and evaluating future vehicle energy-efficiency policies. - Highlights: ► Vehicle fuel-consumption rate (VFCR) data are rarely available in China. ► We review the fuel-economy policies currently in place in China and their impacts. ► We derive real-world VFCRs on the basis of information collected from various sources. ► Results aid in understanding the fuel consumption levels of Chinese vehicle fleets. ► Results help in designing and evaluating future vehicle energy-efficiency policies.
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Analysis of heat capacity and Mössbauer data for LuZnSn2 compound
Directory of Open Access Journals (Sweden)
Łątka Kazimierz
2015-03-01
Full Text Available New analysis of heat capacity data is presented for LuZnSn2 compound that takes into account anharmonic effects together with the existence of Einstein modes. 119mSn Mössbauer spectroscopy was used to monitor the hyperfine parameters at the two crystallographically inequivalent Sn sites in the studied compound. The problem of non-unique mathematical resonance spectrum description and the problem how to choose physically meaningful set of hyperfine parameters will be thoroughly discussed. Measured quadrupole interaction constants by 119mSn Mössbauer spectroscopy give estimations for Vzz component of electric field gradient tensor at both Sn sites in LuZnSn2.
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Directory of Open Access Journals (Sweden)
Angel Alejandro Juan
2016-01-01
Full Text Available Current logistics and transportation (L&T systems include heterogeneous fleets consisting of common internal combustion engine vehicles as well as other types of vehicles using “green” technologies, e.g., plug-in hybrid electric vehicles and electric vehicles (EVs. However, the incorporation of EVs in L&T activities also raise some additional challenges from the strategic, planning, and operational perspectives. For instance, smart cities are required to provide recharge stations for electric-based vehicles, meaning that investment decisions need to be made about the number, location, and capacity of these stations. Similarly, the limited driving-range capabilities of EVs, which are restricted by the amount of electricity stored in their batteries, impose non-trivial additional constraints when designing efficient distribution routes. Accordingly, this paper identifies and reviews several open research challenges related to the introduction of EVs in L&T activities, including: (a environmental-related issues; and (b strategic, planning and operational issues associated with “standard” EVs and with hydrogen-based EVs. The paper also analyzes how the introduction of EVs in L&T systems generates new variants of the well-known Vehicle Routing Problem, one of the most studied optimization problems in the L&T field, and proposes the use of metaheuristics and simheuristics as the most efficient way to deal with these complex optimization problems.
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Choosing Software Solution for Inventory Management in the Firm Privošči si d.o.o.
Ban, Klemen
2010-01-01
Choosing software that supports the business process in firms is a demanding problem. On the software market there is a lot to choose from and the chosen solution has to meet the firm's requirements. The decision about which software to use has a direct influence on company's profit or loss. The thesis discusses the process of choosing a software solution for inventory management in the firm Privošči si d.o.o.. The firm Privošči si sells healthy snacks in vending machines. In the first cha...
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Choosing how to feel: emotion regulation choice in bipolar disorder.
Hay, Aleena C; Sheppes, Gal; Gross, James J; Gruber, June
2015-04-01
Individuals with bipolar disorder experience emotion regulation difficulties, even during remission, but are able to effectively employ emotion regulation strategies when instructed. We hypothesized that this puzzling discrepancy might be due to their maladaptive emotion regulation choices. To test this hypothesis, we used a previously validated paradigm (Sheppes, Scheibe, Suri, & Gross, 2011; Sheppes et al., 2014), and asked remitted individuals with bipolar I disorder (n = 25) and healthy individuals (n = 26) to view standardized positive and negative images of high and low intensity, and choose reappraisal or distraction to decrease their emotion intensity. Replicating and extending prior results, participants across both groups showed a pattern of choosing distraction more for high versus low intensity positive and negative images, but no between-groups differences were evident. These results suggest that emotion regulation choice patterns may be robust across samples, and add to growing evidence that several basic emotion regulation elements may remain intact in bipolar disorder. (c) 2015 APA, all rights reserved).
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RFID-Based Vehicle Positioning and Its Applications in Connected Vehicles
Wang, Jianqiang; Ni, Daiheng; Li, Keqiang
2014-01-01
This paper proposed an RFID-based vehicle positioning approach to facilitate connected vehicles applications. When a vehicle passes over an RFID tag, the vehicle position is given by the accurate position stored in the tag. At locations without RFID coverage, the vehicle position is estimated from the most recent tag location using a kinematics integration algorithm till updates from the next tag. The accuracy of RFID positioning is verified empirically in two independent ways with one using radar and the other a photoelectric switch. The former is designed to verify whether the dynamic position obtained from RFID tags matches the position measured by radar that is regarded as accurate. The latter aims to verify whether the position estimated from the kinematics integration matches the position obtained from RFID tags. Both means supports the accuracy of RFID-based positioning. As a supplement to GPS which suffers from issues such as inaccuracy and loss of signal, RFID positioning is promising in facilitating connected vehicles applications. Two conceptual applications are provided here with one in vehicle operational control and the other in Level IV intersection control. PMID:24599188
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RFID-Based Vehicle Positioning and Its Applications in Connected Vehicles
Directory of Open Access Journals (Sweden)
Jianqiang Wang
2014-03-01
Full Text Available This paper proposed an RFID-based vehicle positioning approach to facilitate connected vehicles applications. When a vehicle passes over an RFID tag, the vehicle position is given by the accurate position stored in the tag. At locations without RFID coverage, the vehicle position is estimated from the most recent tag location using a kinematics integration algorithm till updates from the next tag. The accuracy of RFID positioning is verified empirically in two independent ways with one using radar and the other a photoelectric switch. The former is designed to verify whether the dynamic position obtained from RFID tags matches the position measured by radar that is regarded as accurate. The latter aims to verify whether the position estimated from the kinematics integration matches the position obtained from RFID tags. Both means supports the accuracy of RFID-based positioning. As a supplement to GPS which suffers from issues such as inaccuracy and loss of signal, RFID positioning is promising in facilitating connected vehicles applications. Two conceptual applications are provided here with one in vehicle operational control and the other in Level IV intersection control.
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Student nurses' motivation to choose gerontological nursing as a career in China: a survey study.
Cheng, Min; Cheng, Cheng; Tian, Yan; Fan, Xiuzhen
2015-07-01
The world's population is aging, and the need for nurses is increasing. Working with older adults, however, has always been an unpopular career choice among student nurses. It is important to understand student nurses' motivation for choosing gerontological nursing as a career. The purpose of this study was to examine the motivation for choosing gerontological nursing as a career and to identify the associated factors among student nurses. Cross-sectional survey. Participants were last-semester student nurses from 7 universities offering nursing undergraduate programs in Shandong, China. Of the 1290 student nurses, 916 completed the survey (a response rate of 71.0%). The outcome variable was the motivation to choose gerontological nursing as a career. This was measured using a motivation questionnaire that included expectancy and value subscales. Other instruments included the Chinese version of the Facts on Aging Quiz I, the Geriatrics Attitudes Scale, the Anxiety about Aging Scale, a clinical practice environment questionnaire and a self-administered general information questionnaire. Student nurses' expectancy and value aspects of motivation for choosing gerontological nursing as a career were both at a moderate level; the highest value they held was of personal interest. Clinical practice environment, anxiety about aging and the attitudes about geriatrics were the main factors influencing student nurses' motivation to choose gerontological nursing as a career in China. It is imperative for nurse educators to improve the gerontological nursing clinical practice environment for student nurses. Moreover, cultivating student nurses' positive attitudes about geriatrics and relieving anxiety about aging could be beneficial. Copyright © 2015. Published by Elsevier Ltd.
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Judd, Stephen; Dallmann, Nicholas; Seitz, Daniel; Martinez, John; Storms, Steven; Kestell, Gayle
2017-07-18
A modular space vehicle chassis may facilitate convenient access to internal components of the space vehicle. Each module may be removable from the others such that each module may be worked on individually. Multiple panels of at least one of the modules may swing open or otherwise be removable, exposing large portions of the internal components of the space vehicle. Such chassis architectures may reduce the time required for and difficulty of performing maintenance or modifications, may allow multiple space vehicles to take advantage of a common chassis design, and may further allow for highly customizable space vehicles.
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Energy Technology Data Exchange (ETDEWEB)
Wallner, S.; Lamke, M.; Mohr, M.; Sedlacek, M.; Speck, F.D. [ZF Friedrichshafen AG, Friedrichshafen (Germany)
2011-07-01
Up to now, hybrid systems have been adapted to their specific requirements in the various applications for trucks, buses as well as mobile and building machines. From a technical point of view, this does indeed result in optimized hybrid drives for each single vehicle application, but due to small volumes, such single developments are critical from a business point of view. ZF Friedrichshafen AG is providing a solution to the technical and economical requirements of the cost-sensitive CV segment in the form of a modular CV parallel hybrid platform composed of a hybrid module system, an inverter, a battery system, and a hybrid software integrated into the overall vehicle. Thanks to the intelligent combination of assemblies and the use of as many identical parts as possible, platforms are realized which cover power ranges between 60 and 120 kW, voltage ranges between 350 and 650 V, and battery capacities between 2 and 4 kWh. The dimensions of the platform elements are such that integration into the diverse commercial vehicle applications is made easy. The hybrid software required for the vehicle-specific functions is also configurable for the mentioned CV applications. (orig.)
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Energy Technology Data Exchange (ETDEWEB)
Rugh, J. P.
2013-07-01
Plug-in hybrid electric vehicles and electric vehicles have increased vehicle thermal management complexity, using separate coolant loop for advanced power electronics and electric motors. Additional thermal components result in higher costs. Multiple cooling loops lead to reduced range due to increased weight. Energy is required to meet thermal requirements. This presentation for the 2013 Annual Merit Review discusses integrated vehicle thermal management by combining fluid loops in electric drive vehicles.
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The technical, economic and commercial viability of the vehicle-to-grid concept
International Nuclear Information System (INIS)
Mullan, Jonathan; Harries, David; Bräunl, Thomas; Whitely, Stephen
2012-01-01
The idea that electric vehicles can be used to supply power to the grid for stabilisation and peak time supply is compelling, especially in regions where traditional forms of storage, back up or peaking supply are unavailable or expensive. A number of variants of the vehicle-to-grid theme have been proposed and prototypes have proven that the technological means to deliver many of these are available. This study reviews the most popular variants and investigates their viability using Western Australia, the smallest wholesale electricity market in the world, as an extreme test case. Geographical and electrical isolation prevents the trade of energy and ancillary services with neighbouring regions and the flat landscape prohibits hydroelectric storage. Hot summers and the widespread use of air-conditioning means that peak energy demand is a growing issue, and the ongoing addition to already underutilised generation and transmission capacity is unsustainable. The report concludes that most variants of vehicle-to-grid currently require too much additional infrastructure investment, carry significant risk and are currently too costly to implement in the light of alternative options. Charging electric vehicles can, however, be added to planned demand side management schemes without the need for additional capital investment. - Highlights: ► The Wholesale Electricity Market is used to evaluate variants of vehicle-to-grid. ► Arbitrage of the market is restricted to a few trading intervals each year. ► Implementing peak shaving through battery energy storage is cost prohibited. ► Supply of ancillary services is uncommercial when compared to conventional sources. ► Adding vehicle load to demand side management schemes is the most likely variant.
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Electric Vehicle Fast-Charging Station Unified Modeling and Stability Analysis in the dq Frame
Directory of Open Access Journals (Sweden)
Xiang Wang
2018-05-01
Full Text Available The electric vehicle fast-charging station is an important guarantee for the popularity of electric vehicle. As the fast-charging piles are voltage source converters, stability issues will occur in the grid-connected fast-charging station. Since the dynamic input admittance of the fast-charging pile and the dynamic output impedance play an important role in the interaction system stability, the station and grid interaction system is regarded as load-side and source-side sub-systems to build the dynamic impedance model. The dynamic input admittance in matrix form is derived from the fast-charging pile current control loop considering the influence of the LC filter. Similarly, the dynamic output impedance can be obtained similarly by considering the regional power grid capacity, transformer capacity, and feed line length. On this basis, a modified forbidden region-based stability criterion is used for the fast-charging station stability analysis. The frequency-domain case studies and time-domain simulations are presented next to show the influence of factors from both the power grid side and fast-charging pile side. The simulation results validated the effectiveness of the dq frame impedance model and the stability analysis method.
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WHY CHINESE TOURISTS CHOOSE FINLAND AS TRAVEL DESTINATION
Zheng, Qiaoyin
2016-01-01
The purpose of this thesis is to find out the reasons why Chinese tourists choose Finland as travel destination. In this study, the author gives general view of Chinese outbound tourism and comes up with some reasonable recommendations for attracting more Chinese tourists to travel to Finland. Also the aim is to help readers to make improvements for increasing the competitiveness of Finland in the Chinese tourism market. The theoretical framework consist of the theory based on consumer b...
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Hsu, Ling-Yuan; Chen, Tsung-Lin
2012-01-01
This paper presents a vehicle dynamics prediction system, which consists of a sensor fusion system and a vehicle parameter identification system. This sensor fusion system can obtain the six degree-of-freedom vehicle dynamics and two road angles without using a vehicle model. The vehicle parameter identification system uses the vehicle dynamics from the sensor fusion system to identify ten vehicle parameters in real time, including vehicle mass, moment of inertial, and road friction coefficients. With above two systems, the future vehicle dynamics is predicted by using a vehicle dynamics model, obtained from the parameter identification system, to propagate with time the current vehicle state values, obtained from the sensor fusion system. Comparing with most existing literatures in this field, the proposed approach improves the prediction accuracy both by incorporating more vehicle dynamics to the prediction system and by on-line identification to minimize the vehicle modeling errors. Simulation results show that the proposed method successfully predicts the vehicle dynamics in a left-hand turn event and a rollover event. The prediction inaccuracy is 0.51% in a left-hand turn event and 27.3% in a rollover event. PMID:23202231
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Conversion of Diesel Vehicles to Electric Vehicles and Controlled by PID Controller
Mengi, Onur Özdal
2017-01-01
Internal combustion engine vehicles are the most producedand sold vehicles on the market. In recent years, interest in electric vehicleshas begun to increase, especially due to the environmental problems. In thenear future, it is estimated that gasoline and diesel vehicles will becompletely electric vehicles. For this reason, many studies have been conductedon electric vehicles. Particularly the change of the engine parts, the turningof the internal combustion part to the electric motor, and ...
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Battery control system for hybrid vehicle and method for controlling a hybrid vehicle battery
Bockelmann, Thomas R [Battle Creek, MI; Beaty, Kevin D [Kalamazoo, MI; Zou, Zhanijang [Battle Creek, MI; Kang, Xiaosong [Battle Creek, MI
2009-07-21
A battery control system for controlling a state of charge of a hybrid vehicle battery includes a detecting arrangement for determining a vehicle operating state or an intended vehicle operating state and a controller for setting a target state of charge level of the battery based on the vehicle operating state or the intended vehicle operating state. The controller is operable to set a target state of charge level at a first level during a mobile vehicle operating state and at a second level during a stationary vehicle operating state or in anticipation of the vehicle operating in the stationary vehicle operating state. The invention further includes a method for controlling a state of charge of a hybrid vehicle battery.
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Energy Technology Data Exchange (ETDEWEB)
Klose, Peter L.M. [MBtech Consulting GmbH, Sindelfingen (Germany). Bereich ' Innovations- und Technologiemanagement' ; Gaenzle, Steffen [MBtech Consulting GmbH, Sindelfingen (Germany). Lean Development and Launch Consulting
2009-07-01
Automotive light weight construction does not only mean to choose light weight materials. It is also an integrated concept and therefore the consideration of interactions for whole chain of vehicle development is required. The inter-dependencies and demands of raw material suppliers, fabricators, system suppliers and vehicle manufacturers will be outlined. An insight into the most important trends of automotive body in white construction methods, material concepts, joining technologies on a holistic system overview will be given. Approaches of an economic implementation through build up of system alliances between OEM/suppliers and refinancing of development costs during generation programs will be pointed out. (orig.)
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Screening options for Down syndrome: how women choose in real clinical setting.
Lo, T K; Lai, F K; Leung, W C; Lau, W L; Ng, L S; Wong, W C; Tam, S S; Yee, Y C; Choi, H; Lam, H S W; Sham, A S Y; Tang, L C H; Chin, R K H
2009-09-01
To study pregnant women's preference among various screening options for Down syndrome (DS) in routine clinical setting, and its potential association with women's demographic characteristics. Women aged 35 years and older carrying singleton pregnancy were offered a variety of screening tests for DS before 14 weeks of gestation. Their preference was confirmed by the test they actually underwent. The association between women's choice of test and a number of demographic characteristics was studied using multinomial regression. Among 1967 eligible women, 619 opted for first-trimester screening test (FTS), 924 for partial integrated test (PIT), and 424 for full integrated test (FIT). Nulliparous women and working mothers were more likely to choose FTS and FIT. Women with history of subfertility were more likely to choose FIT. Women with family history of chromosomal abnormalities were more likely to choose FTS. The choice of screening test could be predicted for 49.9% of women using four demographic characteristics. Among older women of predominantly Chinese ethnicity, integrated test is a favorite alternative to FTS. Their choice of DS screening test can be predicted by their obstetric and socioeconomic characteristics. Many women show willingness to pay for a test with a lower false-positive rate.
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Generation and management of waste electric vehicle batteries in China.
Xu, ChengJian; Zhang, Wenxuan; He, Wenzhi; Li, Guangming; Huang, Juwen; Zhu, Haochen
2017-09-01
With the increasing adoption of EVs (electric vehicles), a large number of waste EV LIBs (electric vehicle lithium-ion batteries) were generated in China. Statistics showed generation of waste EV LIBs in 2016 reached approximately 10,000 tons, and the amount of them would be growing rapidly in the future. In view of the deleterious effects of waste EV LIBs on the environment and the valuable energy storage capacity or materials that can be reused in them, China has started emphasizing the management, reuse, and recycling of them. This paper presented the generation trend of waste EV LIBs and focused on interrelated management development and experience in China. Based on the situation of waste EV LIBs management in China, existing problems were analyzed and summarized. Some recommendations were made for decision-making organs to use as valuable references to improve the management of waste EV LIBs and promote the sustainable development of EVs.
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Vehicle routing problem with time windows using natural inspired algorithms
Pratiwi, A. B.; Pratama, A.; Sa’diyah, I.; Suprajitno, H.
2018-03-01
Process of distribution of goods needs a strategy to make the total cost spent for operational activities minimized. But there are several constrains have to be satisfied which are the capacity of the vehicles and the service time of the customers. This Vehicle Routing Problem with Time Windows (VRPTW) gives complex constrains problem. This paper proposes natural inspired algorithms for dealing with constrains of VRPTW which involves Bat Algorithm and Cat Swarm Optimization. Bat Algorithm is being hybrid with Simulated Annealing, the worst solution of Bat Algorithm is replaced by the solution from Simulated Annealing. Algorithm which is based on behavior of cats, Cat Swarm Optimization, is improved using Crow Search Algorithm to make simplier and faster convergence. From the computational result, these algorithms give good performances in finding the minimized total distance. Higher number of population causes better computational performance. The improved Cat Swarm Optimization with Crow Search gives better performance than the hybridization of Bat Algorithm and Simulated Annealing in dealing with big data.
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Directory of Open Access Journals (Sweden)
Sfairopoulou A
2011-01-01
Full Text Available In multi-rate WLANs, users can suffer transmission rate changes due to the link adaptation mechanism. This results in a variable capacity channel, which is very hostile for VoIP and can cause serious quality of service (QoS degradation in all active calls. Various codec adaptation mechanisms have been proposed as a solution to this, as well as to solve congestion problems on WLAN environments. Here, these solutions are presented, categorized according to the adaptation policy and scenario they implement, and evaluated at call-level in terms of the resulting blocking and dropping probabilities, as well as the perceived voice quality. To define a common performance metric, a new index named VGoS-factor is presented, which, by combining these capacity and quality indicators, can provide an overall view of the capacity versus quality trade-off of the proposed mechanisms and consequently help in choosing the adequate policy for each scenario.
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The Electric Vehicle Development
DEFF Research Database (Denmark)
Wang, Jingyu; Liu, Yingqi; Kokko, Ari
2014-01-01
In order to respond to the energy crisis and environment problem, countries carry out their research and promotion about electric vehicles. As the ten cities one thousand new energy buses started in 2009, the new energy vehicles have been greatly developed in China, while the development...... in three aspects-city environment, government and stakeholders. Then the paper discusses the promotion ways and role of government and consumer. Finally, the paper offers some suggestions to promote electric vehicles in China: focusing on feasibility and adaptability of electric vehicles, playing...... of electric vehicles is not that good. This paper selects four cities-Los Angeles, Kanagawa, Hamburg, Amsterdam-that promote electric vehicles successfully and deeply analyzes the development of electric vehicles in these four cities and analyzes the factors that affect the development of electric vehicles...
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Moghimipour, Eskandar; Salimi, Anayatollah; Rezaee, Saeed; Balack, Maryam; Handali, Somayeh
2014-05-01
Nitrofurantoin is a nitrofuran antibiotic that has been used for treatment of urinary tract against positive and negative bacteria. The aim of this study was to evaluate the effect of structural vehicles and flocculating agents on physical stability and rheological behavior of nitrofurantoin suspension. To formulate the suspensions, the effect of glycerin and polysorbate 80 as wetting agents was evaluated and their particle sizes were determined using the sieve method. Then to achieve controlled flocculation, sodium citrate and aluminum chloride were added. After choosing the suitable wetting and flocculating agents, structural vehicles such as sodium carboxyl methyl cellulose and Veegum were evaluated individually and in combination. In addition, the effect of sorbitol on density of continuous phase and some physical stability parameters such as sedimentation volume, degree of flocculation and ease of redispersion of the suspensions were evaluated. After incorporation of structural vehicles, the rheological properties of formulations were also determined to find their flow behavior. According to the results, glycerin (0.2%) and sodium citrate (0.3%) had the best effect on the suspension stability as wetting and flocculating agents, respectively. Rheological properties of formulations showed pseudoplastic behavior with some degree of thixotropy. In conclusion, the suspension containing Veegum 1%, sodium carboxy methyl cellulose 1%, glycerine 0.2%, sodium citrate 0.3% and sorbitol 20 % was chosen as the most physically stable formulation.
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Evaluating the accuracy of vehicle tracking data obtained from Unmanned Aerial Vehicles
Directory of Open Access Journals (Sweden)
Giuseppe Guido
2016-10-01
Full Text Available This paper presents a methodology for tracking moving vehicles that integrates Unmanned Aerial Vehicles with video processing techniques. The authors investigated the usefulness of Unmanned Aerial Vehicles to capture reliable individual vehicle data by using GPS technology as a benchmark. A video processing algorithm for vehicles trajectory acquisition is introduced. The algorithm is based on OpenCV libraries. In order to assess the accuracy of the proposed video processing algorithm an instrumented vehicle was equipped with a high precision GPS. The video capture experiments were performed in two case studies. From the field, about 24,000 positioning data were acquired for the analysis. The results of these experiments highlight the versatility of the Unmanned Aerial Vehicles technology combined with video processing technique in monitoring real traffic data.
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Making difficult decisions: the role of quality of care in choosing a nursing home.
Pesis-Katz, Irena; Phelps, Charles E; Temkin-Greener, Helena; Spector, William D; Veazie, Peter; Mukamel, Dana B
2013-05-01
We investigated how quality of care affects choosing a nursing home. We examined nursing home choice in California, Ohio, New York, and Texas in 2001, a period before the federal Nursing Home Compare report card was published. Thus, consumers were less able to observe clinical quality or clinical quality was masked. We modeled nursing home choice by estimating a conditional multinomial logit model. In all states, consumers were more likely to choose nursing homes of high hotel services quality but not clinical care quality. Nursing home choice was also significantly associated with shorter distance from prior residence, not-for-profit status, and larger facility size. In the absence of quality report cards, consumers choose a nursing home on the basis of the quality dimensions that are easy for them to observe, evaluate, and apply to their situation. Future research should focus on identifying the quality information that offers the most value added to consumers.
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International Nuclear Information System (INIS)
Tong, Shi Jie; Same, Adam; Kootstra, Mark A.; Park, Jae Wan
2013-01-01
Highlights: ► We have examined the feasibility of a second life battery pack for an off-grid photovoltaic vehicle charging system. ► The second life battery successfully achieved the desired function using simple control methods. ► The system has been modeled using equivalent circuit techniques. ► The model can simulate the system’s performance under different application scenarios. - Abstract: Partially degraded lithium batteries from automotive applications, also known as second life batteries, are becoming more available for secondary applications due to the increasing market share of plug-in hybrid and electric vehicles. This study examines the feasibility of installing a second life battery pack in an off-grid photovoltaic vehicle charging system. The system was constructed using a photovoltaic array to charge a battery pack via a maximum power point tracking controller and later charge a vehicle via an inverter. The battery pack was configured using 135 second life LiFePO 4 based battery cells, selected based on remaining capacity, connected to form a nine parallel by 15 serial battery pack with accessible storage capacity of 13.9 kW h. Experimental results show that the proposed second life battery system successfully achieves the desired function with a simple system structure and control methods. A numerical simulation was performed by constructing an equivalent system model, where the photovoltaic array and battery pack were modeled using equivalent circuit techniques. The model was parameterized and validated via testing of the system. Coupled with weather data, the model can simulate the system’s performance under different application scenarios. The numerical investigation reveals that the proposed system, using second life batteries, can achieve similar performance to systems using new lithium batteries, but at a reduced cost
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Directory of Open Access Journals (Sweden)
Balbir S. Dhillon
2012-10-01
Full Text Available The human error has been reported as a major root cause in road accidents in today’s world. The human as a driver in road vehicles composed of human, mechanical and electrical components is constantly exposed to changing surroundings (e.g., road conditions, environmentwhich deteriorate the driver’s capacities leading to a potential accident. The auto industries and transportation authorities have realized that similar to other complex and safety sensitive transportation systems, the road vehicles need to rely on both advanced technologies (i.e., Advanced Driver Assistance Systems (ADAS and Passive Safety Systems (PSS (e.g.,, seatbelts, airbags in order to mitigate the risk of accidents and casualties. In this study, the advantages and disadvantages of ADAS as active safety systems as well as passive safety systems in road vehicles have been discussed. Also, this study proposes models that analyze the interactions between human as a driver and ADAS Warning and Crash Avoidance Systems and PSS in the design of vehicles. Thereafter, the mathematical models have been developed to make reliability prediction at any given time on the road transportation for vehicles equipped with ADAS and PSS. Finally, the implications of this study in the improvement of vehicle designs and prevention of casualties are discussed.
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Directory of Open Access Journals (Sweden)
Xuebing Han
2014-07-01
Full Text Available The lithium titanium oxide (LTO anode is widely accepted as one of the best anodes for the future lithium ion batteries in electric vehicles (EVs, especially since its cycle life is very long. In this paper, three different commercial LTO cells from different manufacturers were studied in accelerated cycle life tests and their capacity fades were compared. The result indicates that under 55 °C, the LTO battery still shows a high capacity fade rate. The battery aging processes of all the commercial LTO cells clearly include two stages. Using the incremental capacity (IC analysis, it could be judged that in the first stage, the battery capacity decreases mainly due to the loss of anode material and the degradation rate is lower. In the second stage, the battery capacity decreases much faster, mainly due to the degradation of the cathode material. The result is important for the state of health (SOH estimation and remaining useful life (RUL prediction of battery management system (BMS for LTO batteries in EVs.
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Can we reconcile different capacity adequacy policies with an integrated electricity market?
International Nuclear Information System (INIS)
Finon, Dominique
2013-09-01
In the present European Union debate, many consider capacity remuneration mechanisms (CRM) as useless and, if they are eventually considered as useful, there is a necessity of total alignment of capacity adequacy policies in time. We develop an opposite position. The adoption of CRM is a necessity because the market and regulatory failures to invest in peaking units, which are amplified by the large, scale development of intermittent sources by out-of-market policies. Then, provided that some minimal harmonization is sought by regulators and TSOs, each member state should have some freedom in the adoption of his capacity adequacy policies. Our main findings are fivefold: 1 - beyond the need for a clear alignment of principles in matters of criteria of adequacy and reliability, Member States are legitimate to decide their means of action to maintain the long-term reliability insurance of their electricity system. In particular they should be allowed to choose between keeping 'energy only' market architecture or adding a capacity mechanism, and also to choose the type of CRM design, provided that they target a minimal probabilistic criteria of outages and that short term competition on the energy market is not altered. 2 - we propose the adoption of minimal criteria of adequacy and reliability in relation to the nature of hazard events which could alter the system reliability and which are specific to each system (seasonal hydraulic hazardousness, weekly thermo-sensibility of the peak load, daily and hourly variability of intermittent renewable, unplanned thermal plants outages). In a system in which the regulator and the government are totally confident in the ability of the market to reveal the level of protection desired by the consumers in a system, the absence of precautionary approach could in fact alter the supply reliability level targeted by the respective TSOs in the neighboring markets which they are integrated with. 3 - the CRMs which are quantity
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Choose and Tell Cards: A 4-H Cloverbud Resource for Promoting Public Speaking and Life Skills
Stechschulte, Jill; Scheer, Scott D.
2017-01-01
Choose and Tell is a curriculum for 4-H Cloverbud members that introduces them to public speaking and life skill enhancement (communication and social interaction). Choose and Tell consists of activity cards analogous to a deck of cards. Activity card titles include Wash and Comb Your Hair, Plant a Seed, and Floss Your Teeth. The activities are…
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Shalom, Diego E.; de Sousa Serro, Maximiliano G.; Giaconia, Maximiliano; Martinez, Luis M.; Rieznik, Andres; Sigman, Mariano
2013-01-01
We investigated an individual ability to identify whether choices were made freely or forced by external parameters. We capitalized on magical setups where the notion of psychological forcing constitutes a well trodden path. In live stage magic, a magician guessed cards from spectators while inquiring how freely they thought they had made the choice. Our data showed a marked blindness in the introspection of free choice. Spectators assigned comparable ratings when choosing the card that the magician deliberately forced them compared to any other card, even in classical forcing, where the magician literally handles a card to the participant This observation was paralleled by a laboratory experiment where we observed modest changes in subjective reports by factors with drastic effect in choice. Pupil dilatation, which is known to tag slow cognitive events related to memory and attention, constitutes an efficient fingerprint to index subjective and objective aspects of choice. PMID:23516455
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DEFF Research Database (Denmark)
Nielsen, L.H.; Jørgensen K.
2000-01-01
The aim of the project is to analyse energy, environmental and economic aspects of integrating electric vehicles in the future Danish energy system. Consequences of large-scale utilisation of electric vehicles are analysed. The aim is furthermore toillustrate the potential synergistic interplay...... between the utilisation of electric vehicles and large-scale utilisation of fluctuating renewable energy resources, such as wind power. Economic aspects for electric vehicles interacting with a liberalisedelectricity market are analysed. The project focuses on battery electric vehicles and fuel cell...... vehicles based on hydrogen. Based on assumptions on the future technical development for battery electric vehicles, fuel cell vehicles on hydrogen, and forthe conventional internal combustion engine vehicles, scenarios are set up to reflect expected options for the long-term development of road transport...
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JACOB, Bernard; NORDENGEN, Paul; O'CONNOR, Alan; BOUTELDJA, Mohamed
2008-01-01
Sommaire : Heavy vehicles and WIM technology, testing and standards. Interactions between heavy vehicles or trains and the infrastructure, environment and other system users. Heavy vehicle and road management information: measurements, data quality, data management. Freight mobility and safety. Vehicle classification, size and weight evaluation, regulations and enforcement. Traffic and road safety. WIM of road vehicles, trains and aeroplanes.
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Lane-Level Vehicle Trajectory Reckoning for Cooperative Vehicle-Infrastructure System
Directory of Open Access Journals (Sweden)
Yinsong Wang
2012-01-01
Full Text Available This paper presents a lane-level positioning method by trajectory reckoning without Global Positioning System (GPS equipment in the environment of Cooperative Vehicle-Infrastructure System (CVIS. Firstly, the accuracy requirements of vehicle position in CVIS applications and the applicability of GPS positioning methods were analyzed. Then, a trajectory reckoning method based on speed and steering data from vehicle’s Control Area Network (CAN and roadside calibration facilities was proposed, which consists of three critical models, including real-time estimation of steering angle and vehicle direction, vehicle movement reckoning, and wireless calibration. Finally, the proposed method was validated through simulation and field tests under a variety of traffic conditions. Results show that the accuracy of the reckoned vehicle position can reach the lane level and match the requirements of common CVIS applications.
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How important is vehicle safety for older consumers in the vehicle purchase process?
Koppel, Sjaan; Clark, Belinda; Hoareau, Effie; Charlton, Judith L; Newstead, Stuart V
2013-01-01
This study aimed to investigate the importance of vehicle safety to older consumers in the vehicle purchase process. Older (n = 102), middle-aged (n = 791), and younger (n = 109) participants throughout the eastern Australian states of Victoria, New South Wales, and Queensland who had recently purchased a new or used vehicle completed an online questionnaire about their vehicle purchase process. When asked to list the 3 most important considerations in the vehicle purchase process (in an open-ended format), older consumers were mostly likely to list price as their most important consideration (43%). Similarly, when presented with a list of vehicle factors (such as price, design, Australasian New Car Assessment Program [ANCAP] rating), older consumers were most likely to identify price as the most important vehicle factor (36%). When presented with a list of vehicle features (such as automatic transmission, braking, air bags), older consumers in the current study were most likely to identify an antilock braking system (41%) as the most important vehicle feature, and 50 percent of older consumers identified a safety-related vehicle feature as the highest priority vehicle feature (50%). When asked to list up to 3 factors that make a vehicle safe, older consumers in the current study were most likely to list braking systems (35%), air bags (22%), and the driver's behavior or skill (11%). When asked about the influence of safety in the new vehicle purchase process, one third of older consumers reported that all new vehicles are safe (33%) and almost half of the older consumers rated their vehicle as safer than average (49%). A logistic regression model was developed to predict the profile of older consumers more likely to assign a higher priority to safety features in the vehicle purchasing process. The model predicted that the importance of safety-related features was influenced by several variables, including older consumers' beliefs that they could protect themselves
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Travel behaviour of potential Electric Vehicle drivers. The need for changing
DEFF Research Database (Denmark)
Christensen, Linda; Nørrelund, Anders Vedsted; Olsen, Allan
2010-01-01
such as their potential contribution to reducing CO2 and local emissions and other negative external effects of mobility. The extent to which Electric Vehicles (EVs) will contribute to reducing Green House Gas emissions depends on the energy mix used to recharge the battery. Theoretically, where there is a deregulated......) The relation between transport behaviour and the need for electricity either as normal battery recharging or as fast charging. Knowledge of this is necessary since the accessibility to charging and the battery capacity are central factors for the users’ willingness to purchase an electric vehicle. 2......) Assessment of the possibility to regulate the charging periods and to use the EVs as storage. 3) Analyses of optimisation of the localisation of the infrastructure based on the travel patterns of the EV. At the moment when very few EVs are in the market it is necessary to assess the potential behaviour from...
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Schehl, M
1997-01-01
A study conducted by AVSC International between 1992 and 1995 found that couples around the world go through a highly similar decision-making process when they choose vasectomy as their family planning methods. Study findings are based upon in-depth, qualitative interviews with couples using vasectomy in Bangladesh, Mexico, Kenya, and Rwanda, where the prevalence of vasectomy is relatively low, and Sri Lanka and the US, where it is relatively high. 218 separate interviews were conducted with male and female partners. Concerns about the woman's health were cited by respondents in each country as reasons to cease childbearing and to opt for vasectomy as the means to achieving that end. Also, almost all respondents mentioned varying degrees of financial hardship as contributing to their decision to end childbearing. These findings highlight the concept of partnership in relationships and family planning decision-making, and demonstrate the importance of going beyond traditional stereotypes about gender roles in decision-making. Social influences and the potential risks of using other forms of contraception also contributed to the choice of using vasectomy. The decision-making process and lessons learned are discussed.
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Evaluation of Co and Cr mobility in soil profiles collected in a scrapyard of impounded vehicles
International Nuclear Information System (INIS)
Lange, Camila N.; Figueiredo, Ana Maria G.; Enzweiler, Jacinta
2015-01-01
The number of motor vehicles in urban environments has increased dramatically in the past years. As a result, so has the number of impounded and end-of-life vehicles. Car wastes can have a very high metal content, which can cause important environmental impacts to the soil where these vehicles are kept. Most Brazilian vehicle impound scrapyards are currently operating at their maximum capacity and soils may have become contaminated by past or current vehicle handling practices. Most of these areas do not present an impermeable surface. The level of soil contamination with heavy metals depends on the type of soil, climate and management practices. Metals, such as Co and Cr, that are present in many auto-parts, may be considered potentially toxic elements in these areas. The aim of this study was to evaluate Co and Cr levels and behavior in soil profiles located in a scrapyard of impounded vehicles of Ribeirao Pires-SP city. For this purpose, samples from distinct horizons of three soil profiles were collected. Element concentrations were determined by Instrumental Neutron Activation Analysis (INAA). Soil parameters such as pH, organic matter content and clay, silt and sand percentage were also determined. The obtained data were statistically analyzed in order to establish correlations between elemental concentrations and the impounded vehicles scrapyard soil. Soil acidity showed to be the most remarkable property for Cr and Co mobility through soil profile. (author)
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Evaluation of Co and Cr mobility in soil profiles collected in a scrapyard of impounded vehicles
Energy Technology Data Exchange (ETDEWEB)
Lange, Camila N.; Figueiredo, Ana Maria G., E-mail: clange@usp.br, E-mail: anamaria@ipen.br [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil); Enzweiler, Jacinta, E-mail: jacinta@ige.unicamp.br [Universidade Estadual de Campinas (UNICAMP), Campinas, SP (Brazil). Instituto de Geociencias
2015-07-01
The number of motor vehicles in urban environments has increased dramatically in the past years. As a result, so has the number of impounded and end-of-life vehicles. Car wastes can have a very high metal content, which can cause important environmental impacts to the soil where these vehicles are kept. Most Brazilian vehicle impound scrapyards are currently operating at their maximum capacity and soils may have become contaminated by past or current vehicle handling practices. Most of these areas do not present an impermeable surface. The level of soil contamination with heavy metals depends on the type of soil, climate and management practices. Metals, such as Co and Cr, that are present in many auto-parts, may be considered potentially toxic elements in these areas. The aim of this study was to evaluate Co and Cr levels and behavior in soil profiles located in a scrapyard of impounded vehicles of Ribeirao Pires-SP city. For this purpose, samples from distinct horizons of three soil profiles were collected. Element concentrations were determined by Instrumental Neutron Activation Analysis (INAA). Soil parameters such as pH, organic matter content and clay, silt and sand percentage were also determined. The obtained data were statistically analyzed in order to establish correlations between elemental concentrations and the impounded vehicles scrapyard soil. Soil acidity showed to be the most remarkable property for Cr and Co mobility through soil profile. (author)