WorldWideScience

Sample records for electric vehicle energy

  1. Electric vehicle energy impacts.

    Science.gov (United States)

    2017-05-01

    The objective of this research project was to evaluate the impacts of electric vehicles (EVs) and : renewable wind and solar photovoltaic (PV) power generation on reducing petroleum imports : and greenhouse gas emissions to Hawaii. In 2015, the state...

  2. Electric vehicle energy management system

    Science.gov (United States)

    Alaoui, Chakib

    This thesis investigates and analyzes novel strategies for the optimum energy management of electric vehicles (EVs). These are aimed to maximize the useful life of the EV batteries and make the EV more practical in order to increase its acceptability to market. The first strategy concerns the right choice of the batteries for the EV according to the user's driving habits, which may vary. Tests conducted at the University of Massachusetts Lowell battery lab show that the batteries perform differently from one manufacturer to the other. The second strategy was to investigate the fast chargeability of different batteries, which leads to reduce the time needed to recharge the EV battery pack. Tests were conducted again to prove that only few battery types could be fast charged. Test data were used to design a fast battery charger that could be installed in an EV charging station. The third strategy was the design, fabrication and application of an Electric Vehicle Diagnostic and Rejuvenation System (EVDRS). This system is based on Mosfet Controlled Thyristors (MCTs). It is capable of quickly identifying any failing battery(s) within the EV pack and rejuvenating the whole battery pack without dismantling them and unloading them. A novel algorithm to rejuvenate Electric Vehicle Sealed Lead Acid Batteries is described. This rejuvenation extends the useful life of the batteries and makes the EV more competitive. The fourth strategy was to design a thermal management system for EV, which is crucial to the safe operation, and the achievement of normal/optimal performance of, electric vehicle (EV) batteries. A novel approach for EV thermal management, based on Pettier-Effect heat pumps, was designed, fabricated and tested in EV. It shows the application of this type of technology for thermal management of EVs.

  3. ENERGY STAR Certified Electric Vehicle Supply Equipment

    Data.gov (United States)

    U.S. Environmental Protection Agency — Certified models meet all ENERGY STAR requirements as listed in the Version 1.0 ENERGY STAR Program Requirements for Electric Vehicle Supply Equipment that are...

  4. Vehicle to grid: electric vehicles as an energy storage solution

    Science.gov (United States)

    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.

  5. Energy Intensity of the Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Mieczysław Dziubiński

    2017-12-01

    Full Text Available Continuous energy intensity is a dependency between continuous energy intensity and energy intensity of movement. In the paper it is proposed analyze energy intensity of the movement, as the size specifying the power demand to the wheel drive and presented the balance of power of an electric car moving in the urban cycle. The object of the test was the hybrid vehicle with an internal combustion engine and electric motor. The measurements were carried out for 4 speeds and 2 driving profiles.

  6. Online energy management for hybrid electric vehicles

    NARCIS (Netherlands)

    Kessels, J.T.B.A.; Koot, M.W.T.; Bosch, P.P.J. van den; Kok, D.B.

    2008-01-01

    Hybrid electric vehicles (HEVs) are equipped with multiple power sources for improving the efficiency and performance of their power supply system. An energy management (EM) strategy is needed to optimize the internal power flows and satisfy the driver's power demand. To achieve maximum fuel profits

  7. Hybrid electric vehicles energy management strategies

    CERN Document Server

    Onori, Simona; Rizzoni, Giorgio

    2016-01-01

    This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle’s power is provided by each source instant by instant. Hybrid Electric Vehicles: •introduces methods for modeling energy flow in hybrid electric vehicles; •presents a standard mathematical formulation of the optimal control problem; •discusses different optimization and control strategies for energy management, integrating the most recent research results; and •carries out an overall comparison of the different control strategies presented. Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. In addition to the examples, simulation code is provided via a website, so that readers can work on the actua...

  8. Energy Efficiency Comparison between Hydraulic Hybrid and Hybrid Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Jia-Shiun Chen

    2015-05-01

    Full Text Available Conventional vehicles tend to consume considerable amounts of fuel, which generates exhaust gases and environmental pollution during intermittent driving cycles. Therefore, prospective vehicle designs favor improved exhaust emissions and energy consumption without compromising vehicle performance. Although pure electric vehicles feature high performance and low pollution characteristics, their limitations are their short driving range and high battery costs. Hybrid electric vehicles (HEVs are comparatively environmentally friendly and energy efficient, but cost substantially more compared with conventional vehicles. Hydraulic hybrid vehicles (HHVs are mainly operated using engines, or using alternate combinations of engine and hydraulic power sources while vehicles accelerate. When the hydraulic system accumulator is depleted, the conventional engine reengages; concurrently, brake-regenerated power is recycled and reused by employing hydraulic motor–pump modules in circulation patterns to conserve fuel and recycle brake energy. This study adopted MATLAB Simulink to construct complete HHV and HEV models for backward simulations. New European Driving Cycles were used to determine the changes in fuel economy. The output of power components and the state-of-charge of energy could be retrieved. Varying power component models, energy storage component models, and series or parallel configurations were combined into seven different vehicle configurations: the conventional manual transmission vehicle, series hybrid electric vehicle, series hydraulic hybrid vehicle, parallel hybrid electric vehicle, parallel hydraulic hybrid vehicle, purely electric vehicle, and hydraulic-electric hybrid vehicle. The simulation results show that fuel consumption was 21.80% lower in the series hydraulic hybrid vehicle compared to the series hybrid electric vehicle; additionally, fuel consumption was 3.80% lower in the parallel hybrid electric vehicle compared to the

  9. Electric vehicles

    Science.gov (United States)

    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.

  10. Plug-in hybrid electric vehicles in dynamical energy markets

    NARCIS (Netherlands)

    Kessels, J.T.B.A.; Bosch, P.P.J. van den

    2008-01-01

    The plug-in hybrid electric vehicle allows vehicle propulsion from multiple internal power sources. Electric energy from the grid can be utilized by means of the plug-in connection. An on-line energy management (EM) strategy is proposed to minimize the costs for taking energy from each power source.

  11. Towards low energy mobility using light and ultralight electric vehicles

    OpenAIRE

    Van den Bossche, Alex; Sergeant, Peter; Hofman, Isabelle

    2012-01-01

    Electrical vehicles are seriously considered today. However their energy needs depend seriously on the way how they are designed, ranging from electric bicycles to the electrical utility vehicle, it can differ from 1kWh to more than 20kWh/100km. One can look at the problem if it is better to use compressed natural gas in a vehicle directly or is it better to make electricity first and use that electricity in an electric vehicle. A special attention is given to the development of ultra-ligh...

  12. Improving the performance of a hybrid electric vehicle by utilization regenerative braking energy of vehicle

    Energy Technology Data Exchange (ETDEWEB)

    Mourad, Mohamed [Automotive and Tractors Department, Faculty of Engineering, Minia University (Egypt)

    2011-07-01

    Environmentally friendly vehicles with range and performance capabilities surpassing those of conventional ones require a careful balance among competing goals for fuel efficiency, performance and emissions. It can be recuperated the energy of deceleration case of the vehicle to reuse it to recharge the storage energy of hybrid electric vehicle and increase the state of charge of batteries under the new conditions of vehicle operating in braking phase. Hybrid electric vehicle has energy storage which allows decreasing required peak value of power from prime mover, which is the internal combustion engine. The paper investigates the relationships between the driving cycle phases and the recuperation energy to the batteries system of hybrid electric vehicle. This work describes also a methodology for integrating this type of hybrid electric vehicle in a simulation program. A design optimization framework is then used to find the best position that we can utilize the recuperation energy to recharge the storage batteries of hybrid electric vehicle.

  13. Electric vehicles and renewable energy in the transport sector - energy system consequences. Main focus: Battery electric vehicles and hydrogen based fuel cell vehicles

    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...

  14. Online prediction of battery electric vehicle energy consumption

    NARCIS (Netherlands)

    Wang, Jiquan; Besselink, Igo; Nijmeijer, Henk

    2016-01-01

    The energy consumption of battery electric vehicles (BEVs) depends on a number of factors, such as vehicle characteristics, driving behavior, route information, traffic states and weather conditions. The variance of these factors and the correlation among each other make the energy consumption

  15. Battery electric vehicle energy consumption modelling for range estimation

    NARCIS (Netherlands)

    Wang, J.; Besselink, I.J.M.; Nijmeijer, H.

    2017-01-01

    Range anxiety is considered as one of the major barriers to the mass adoption of battery electric vehicles (BEVs). One method to solve this problem is to provide accurate range estimation to the driver. This paper describes a vehicle energy consumption model considering the influence of weather

  16. Kinetic energy recovery and power management for hybrid electric vehicles

    OpenAIRE

    Suntharalingam, P

    2011-01-01

    The major contribution of the work presented in this thesis is a thorough investigation of the constraints on regenerative braking and kinetic energy recovery enhancement for electric/hybrid electric vehicles during braking. Regenerative braking systems provide an opportunity to recycle the braking energy, which is otherwise dissipated as heat in the brake pads. However, braking energy harnessing is a relatively new concept in the automotive sector which still requires further research and de...

  17. 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.)

  18. Research on Energy Management Strategy of Hybrid Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Deng Tao

    2015-01-01

    Full Text Available To improve the fuel economy and reduce emissions of hybrid electric vehicles, energy management strategy has received high attention. In this paper, by analyzing the deficiency of existing energy management strategy for hybrid cars, it not only puts forward the minimal equivalent fuel consumption adaptive strategy, but also is the first time to consider the driving dynamics target simultaneously, and to explain the future development direction of China’s hybrid energy management strategy.

  19. Renewable Energy for Electric Vehicles : Price Based Charging Coordination

    NARCIS (Netherlands)

    Richstein, J.C.; Schuller, A.; Dinther, C.; Ketter, W.; Weinhardt, C.

    2012-01-01

    In this paper we investigate the charging coordination of battery electric vehicles (BEV) with respect to the availability of intermittent renewable energy generation considering individual real world driving profiles in a deterministic simulation based analysis, mapping a part of the German power

  20. Assessing the stationary energy storage equivalency of vehicle-to-grid charging battery electric vehicles

    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

  1. Electric vehicles and renewable energy in the transport sector - energy system consequences. Main focus: Battery electric vehicles and hydrogen based fuel cell vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Nielsen, L.H.; Joergensen, K.

    2000-04-01

    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 to illustrate 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 liberalised electricity 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 for the conventional internal combustion engine vehicles, scenarios are set up to reflect expected options for the long-term development of road transport vehicles. Focus is put on the Danish fleet of passenger cars and delivery vans. The scenario analysis includes assumptions on market potential developments and market penetration for the alternative vehicles. Vehicle replacement rates in the Danish transport fleet and the size of fleet development are based on data from The Danish Road Directorate. The electricity supply system development assumed is based on the Danish energy plan, Energy 21, The Plan scenario. The time horizon of the analysis is year 2030. Results from the scenario analysis include the time scales involved for the potential transition towards electricity based vehicles, the fleet composition development, the associated developments in transport fuel consumption and fuel substitution, and the potential CO{sub 2}-emission reduction achievable in the overall transport and power supply system. Detailed model simulations, on an hourly basis, have furthermore been carried out for year 2005 that address potential electricity purchase options for electric vehicles in the context of a liberalised electricity market

  2. Electric vehicles and renewable energy in the transport sector - energy system consequences. Main focus: Battery electric vehicles and hydrogen based fuel cell vehicles

    International Nuclear Information System (INIS)

    Nielsen, L.H.; Joergensen, K.

    2000-04-01

    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 to illustrate 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 liberalised electricity 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 for the conventional internal combustion engine vehicles, scenarios are set up to reflect expected options for the long-term development of road transport vehicles. Focus is put on the Danish fleet of passenger cars and delivery vans. The scenario analysis includes assumptions on market potential developments and market penetration for the alternative vehicles. Vehicle replacement rates in the Danish transport fleet and the size of fleet development are based on data from The Danish Road Directorate. The electricity supply system development assumed is based on the Danish energy plan, Energy 21, The Plan scenario. The time horizon of the analysis is year 2030. Results from the scenario analysis include the time scales involved for the potential transition towards electricity based vehicles, the fleet composition development, the associated developments in transport fuel consumption and fuel substitution, and the potential CO 2 -emission reduction achievable in the overall transport and power supply system. Detailed model simulations, on an hourly basis, have furthermore been carried out for year 2005 that address potential electricity purchase options for electric vehicles in the context of a liberalised electricity market. The

  3. Energy-efficient microcontrollers for electric and hybrid vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Makowitz, Rainer; Gryska, Holger; Thanner, Manfred; Steinert, Frank [Freescale Halbleiter GmbH, Muenchen (Germany)

    2010-07-01

    Electric vehicles with their limited supply of energy are accelerating the trend towards more energy-efficient electronics that has started with the discussion on reducing the production of greenhouse gas of vehicles. While electricifaction of functions in a car is a technique that will help reduce overall energy consumption, microcontrollers are playing an important role in energetically optimizing the resulting electronics. In this presentation we give an overview of operating strategies for embedded automotive systems that lead to a set of power modes for the microcontrollers. Examples will be shown how Freescale's microcontrollers are designet to optimize energy consumption in each of these modes. We will also outline what needs to be done in the overall vehicle communication network design and in software to effectively use these new features of microcontrollers. The major elements that would benefit from standardization (e.g. in Autosar) will be indicated. (orig.)

  4. Saving energy and protecting environment of electric vehicles

    Science.gov (United States)

    Yuan, Lina; Chen, Huajun; Gong, Jing

    2017-05-01

    With the concept of low carbon economy, saving energy, and protecting environment spread, the development of the electric promotes the research pace of wireless charging electronic vehicles, which will become the best choice of energy supply in the future. To generalize and exploit the corresponding alternative fuels and the research and development, and promotion of electric vehicles, becomes the effective means to directly reduce the consumption of fuel, effectively relieves the problem of nervous energy and environmental pollution, and really conforms to the requirements of the national strategy of sustainable development in China. This paper introduces the status of electronic cars and wireless charging, expounds the principle of wireless charging, and concludes the full text.

  5. Optimal energy management strategy for battery powered electric vehicles

    International Nuclear Information System (INIS)

    Xi, Jiaqi; Li, Mian; Xu, Min

    2014-01-01

    Highlights: • The power usage for battery-powered electrical vehicles with in-wheel motors is maximized. • The battery and motor dynamics are examined emphasized on the power conversion and utilization. • The optimal control strategy is derived and verified by simulations. • An analytic expression of the optimal operating point is obtained. - Abstract: Due to limited energy density of batteries, energy management has always played a critical role in improving the overall energy efficiency of electric vehicles. In this paper, a key issue within the energy management problem will be carefully tackled, i.e., maximizing the power usage of batteries for battery-powered electrical vehicles with in-wheel motors. To this end, the battery and motor dynamics will be thoroughly examined with particular emphasis on the power conversion and power utilization. The optimal control strategy will then be derived based on the analysis. One significant contribution of this work is that an analytic expression for the optimal operating point in terms of the component and environment parameters can be obtained. Owing to this finding, the derived control strategy is also rendered a simple structure for real-time implementation. Simulation results demonstrate that the proposed strategy works both adaptively and robustly under different driving scenarios

  6. Renewable energy supply for electric vehicle operations in California

    OpenAIRE

    Papavasiliou, Anthony; Oren, Shmuel S.; Sidhy, Ikhlaq; Kaminsky, Phil; 32nd IAEE International Conference

    2009-01-01

    Due to technological progress, policy thrust and economic circumstances, the large scale integration of renewable energy sources such as wind and solar power is becoming a reality in California, however the variable and unpredictable supply of these renewable resources poses a significant obstacle to their integration. At the same time we are witnessing a strong thrust towards the large scale deployment of electric vehicles which can ideally complement renewable power supply by acting as stor...

  7. Peer to peer energy trading with electric vehicles

    OpenAIRE

    Alvaro-Hermana, R.; Fraile-Ardanuy, J.; Zufiria, P.; Knapen, Luk; Janssens, Davy

    2016-01-01

    This paper presents a novel peer-to-peer energy trading system between two sets of electric vehicles, which significantly reduces the impact of the charging process on the power system during business hours. This trading system is also economically beneficial for all the users involved in the trading process. An activity-based model is used to predict the daily agenda and trips of a synthetic population for Flanders (Belgium). These drivers can be initially classified into three sets; after d...

  8. Energy storage devices for future hybrid electric vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Karden, Eckhard; Ploumen, Serve; Fricke, Birger [Ford Research and Advanced Engineering Europe, Suesterfeldstr. 200, D-52072 Aachen (Germany); Miller, Ted; Snyder, Kent [Ford Sustainable Mobility Technologies, 15050 Commerce Drive North, Dearborn, MI 48120 (United States)

    2007-05-25

    Powertrain hybridization as well as electrical energy management are imposing new requirements on electrical storage systems in vehicles. This paper characterizes the associated vehicle attributes and, in particular, the various levels of hybrids. New requirements for the electrical storage system are derived, including: shallow-cycle life, high dynamic charge acceptance particularly for regenerative braking and robust service life in sustained partial-state-of-charge usage. Lead/acid, either with liquid or absorptive glass-fibre mat electrolyte, is expected to remain the predominant battery technology for 14 V systems, including micro-hybrids, and with a cost-effective battery monitoring system for demanding applications. Advanced AGM batteries may be considered for mild or even medium hybrids once they have proven robustness under real-world conditions, particularly with respect to cycle life at partial-states-of-charge and dynamic charge acceptance. For the foreseeable future, NiMH and Li-ion are the dominating current and potential battery technologies for higher-functionality HEVs. Li-ion, currently at development and demonstration stages, offers attractive opportunities for improvements in performance and cost. Supercapacitors may be considered for pulse power applications. Aside from cell technologies, attention to the issue of system integration of the battery into the powertrain and vehicle is growing. Opportunities and challenges for potential ''battery pack'' system suppliers are discussed. (author)

  9. Energy storage devices for future hybrid electric vehicles

    Science.gov (United States)

    Karden, Eckhard; Ploumen, Servé; Fricke, Birger; Miller, Ted; Snyder, Kent

    Powertrain hybridization as well as electrical energy management are imposing new requirements on electrical storage systems in vehicles. This paper characterizes the associated vehicle attributes and, in particular, the various levels of hybrids. New requirements for the electrical storage system are derived, including: shallow-cycle life, high dynamic charge acceptance particularly for regenerative braking and robust service life in sustained partial-state-of-charge usage. Lead/acid, either with liquid or absorptive glass-fibre mat electrolyte, is expected to remain the predominant battery technology for 14 V systems, including micro-hybrids, and with a cost-effective battery monitoring system for demanding applications. Advanced AGM batteries may be considered for mild or even medium hybrids once they have proven robustness under real-world conditions, particularly with respect to cycle life at partial-states-of-charge and dynamic charge acceptance. For the foreseeable future, NiMH and Li-ion are the dominating current and potential battery technologies for higher-functionality HEVs. Li-ion, currently at development and demonstration stages, offers attractive opportunities for improvements in performance and cost. Supercapacitors may be considered for pulse power applications. Aside from cell technologies, attention to the issue of system integration of the battery into the powertrain and vehicle is growing. Opportunities and challenges for potential "battery pack" system suppliers are discussed.

  10. Life-cycle energy analyses of electric vehicle storage batteries

    Science.gov (United States)

    Sullivan, D.; Morse, T.; Patel, P.; Patel, S.; Bondar, J.; Taylor, L.

    1980-12-01

    Nickel-zinc, lead-acid, nickel-iron, zinc-chlorine, sodium-sulfur (glass electrolyte), sodium-sulfur (ceramic electrolyte), lithium-metal sulfide, and aluminum-air batteries were studied in order to evaluate the energy used to produce the raw materials and to manufacture the battery, the energy consumed by the battery during its operational life, and the energy that could be saved from the recycling of battery materials into new raw materials. The value of the life cycle analysis approach is that it includes the various penalties and credits associated with battery production and recycling, which enables a more accurate determination of the system's ability to reduce the consumption of scarce fuels. Battery component materials, the energy requirements for battery production, and credits for recycling are described. The operational energy for an electric vehicle and the procedures used to determine it are discussed.

  11. Improving the Energy Management of a Solar Electric Vehicle

    Directory of Open Access Journals (Sweden)

    GUNESER, M. T.

    2015-11-01

    Full Text Available A solar electric vehicle (SEV is an electric vehicle (EV with onboard photovoltaic cells charging a set of batteries for extended driving range. This study aimed to improve the energy management system of a SEV, called YILDIZ, using a fuzzy logic control system (FLC. A MATLAB based simulation model of three basic components of a solar car: solar cell modules, batteries and motor drive system was performed. An original FLC was developed. For proving its applicability, the performances of the SEV were tested by simulation, in accordance with the standard test drive cycle ECE-15. The characteristics obtained with the original Proportional Integral Fuzzy Logic Control (PI-FLC were compared with those obtained with a classical Proportional Integral (PI controller. Using the designed model, we calculated the range of YILDIZ with and without PV feeding which gave us an opportunity to study and compare both SEV and EV models on real race-track situation. Then the optimum speed, at any time, which enabled the vehicle to reach a chosen destination as quickly as possible, while fully using the available energy, was calculated. Proposed solutions tested on YILDIZ. Results of simulations were compared with YILDIZ run on the Formula-G race track in Izmit, Turkey.

  12. Hybrid and plug-in hybrid electric vehicle performance testing by the US Department of Energy Advanced Vehicle Testing Activity

    Science.gov (United States)

    Karner, Donald; Francfort, James

    The Advanced Vehicle Testing Activity (AVTA), part of the U.S. Department of Energy's FreedomCAR and Vehicle Technologies Program, has conducted testing of advanced technology vehicles since August 1995 in support of the AVTA goal to provide benchmark data for technology modeling, and vehicle development programs. The AVTA has tested full size electric vehicles, urban electric vehicles, neighborhood electric vehicles, and hydrogen internal combustion engine powered vehicles. Currently, the AVTA is conducting baseline performance, battery benchmark and fleet tests of hybrid electric vehicles (HEV) and plug-in hybrid electric vehicles (PHEV). Testing has included all HEVs produced by major automotive manufacturers and spans over 2.5 million test miles. Testing is currently incorporating PHEVs from four different vehicle converters. The results of all testing are posted on the AVTA web page maintained by the Idaho National Laboratory.

  13. Electric Vehicles - Promoting Fuel Efficiency and Renewable Energy in Danish Transport

    DEFF Research Database (Denmark)

    Jørgensen, Kaj

    1997-01-01

    Analysis of electric vehicles as energy carrier for renewable energy and fossil fuels, including comparisons with other energy carriers (hydrogen, bio-fuels)......Analysis of electric vehicles as energy carrier for renewable energy and fossil fuels, including comparisons with other energy carriers (hydrogen, bio-fuels)...

  14. 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...

  15. Technical analysis on energy conservation and emission reduction of new energy electric vehicle in China

    Science.gov (United States)

    Zheng, Chaocheng

    2017-10-01

    With the global environmental problems and energy crisis continuously emerging, all countries are taking active measures to achieve the benign development of domestic economy and society. Vehicle, as a large oil consumption and emissions of carbon dioxide, nend to be a revolutionary change. Therefore, the development of new energy electric vehicle has become the consensus of the world. On this background, this paper has sorted out the current state and the related development planning of new energy electric vehicles in different countries to predict the car ownership of the new energy electric vehicles using elastic coefficient method and setting different path of development, conclude that under the consideration of energy conservation and emissions reduction factors, our country should mainly promote the BEV to realize the maximum energy conservation and emissions reduction.

  16. A COMPARATIVE ANALYSIS OF ENERGY MANAGEMENT STRATEGIES FOR ELECTRIC VEHICLES

    OpenAIRE

    ÇAKAR, Fahri; YILMAZ, Musa; ASKER, Mehmet Emin

    2016-01-01

    In next two decade duration the electric car will participate a significant role in auto marketing. The electrical car use electric that is supported by current electrical network. Indeed the current electrical network cannot support the hole system in specific time in the case of loading electric car to it that will increase the demand in that specific time duration. To support the electric car energy requirement you have to manage both energy generation and energy consumption. The solution ...

  17. Optimal Energy Control Strategy Design for a Hybrid Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Yuan Zou

    2013-01-01

    Full Text Available A heavy-duty parallel hybrid electric truck is modeled, and its optimal energy control is studied in this paper. The fundamental architecture of the parallel hybrid electric truck is modeled feed-forwardly, together with necessary dynamic features of subsystem or components. Dynamic programming (DP technique is adopted to find the optimal control strategy including the gear-shifting sequence and the power split between the engine and the motor subject to a battery SOC-sustaining constraint. Improved control rules are extracted from the DP-based control solution, forming near-optimal control strategies. Simulation results demonstrate that a significant improvement on the fuel economy can be achieved in the heavy-duty vehicle cycle from the natural driving statistics.

  18. Merging mobility and energy vision with hybrid electric vehicles and vehicle infrastructure integration

    International Nuclear Information System (INIS)

    He Yiming; Chowdhury, Mashrur; Ma Yongchang; Pisu, Pierluigi

    2012-01-01

    As the U.S. federal government is seeking useful applications of Vehicle-Infrastructure Integration (VII) and encouraging a greener and more efficient automobile industry, this paper demonstrated a path to meet the national transportation goal via VII. An impact study was conducted in a midsize U.S. metropolitan area on the potential of utilizing VII communication in Hybrid Electric Vehicle (HEV) operations by simulating a VII-enabled vehicle framework for both conventional HEV and Plug-in Hybrid Electric Vehicles (PHEV). The data collection and communication capability of the VII system allowed the prediction of speed profiles at the vehicle level with an average error rate of 13.2%. With the prediction, at the individual vehicle level, VII technology allowed PHEV and HEV to achieve additional benefits with an approximately 3% decrease in total energy consumption and emission. At the network level, the benefit–cost analysis indicated that the benefit–cost ratios for PHEV and HEV of the VII vehicle network exceed one at the fleet penetration rate of 20% and 30%, respectively. Our findings encourage to support public and private investments in VII infrastructure and its integration with HEV and PHEV in order to reap the increased energy savings from these vehicles. - Highlights: ► A VII-HEV/PHEV framework was simulated for a midsized U.S. metropolitan area. ► A VII-based prediction algorithm was developed for the framework. ► Significant improvement in energy efficiency and emission was achieved at single vehicle level. ► Network analysis was conducted to show cost-effectiveness of this framework.

  19. Research on charging and discharging control strategy for electric vehicles as distributed energy storage devices

    Science.gov (United States)

    Zhang, Min; Yang, Feng; Zhang, Dongqing; Tang, Pengcheng

    2018-02-01

    A large number of electric vehicles are connected to the family micro grid will affect the operation safety of the power grid and the quality of power. Considering the factors of family micro grid price and electric vehicle as a distributed energy storage device, a two stage optimization model is established, and the improved discrete binary particle swarm optimization algorithm is used to optimize the parameters in the model. The proposed control strategy of electric vehicle charging and discharging is of practical significance for the rational control of electric vehicle as a distributed energy storage device and electric vehicle participating in the peak load regulation of power consumption.

  20. Hybrid and Plug-In Electric Vehicles (Spanish Version); Clean Cities, Energy Efficiency & Renewable Energy (EERE)

    Energy Technology Data Exchange (ETDEWEB)

    None

    2015-08-01

    This is a Spanish-language brochure about hybrid and plug-in electric vehicles, which 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, they have great potential to cut U.S. petroleum use and vehicle emissions.

  1. Lafayette, Colorado: Using Energy Data for Electric Vehicle Infrastructure Planning (City Energy: From Data to Decisions)

    Energy Technology Data Exchange (ETDEWEB)

    Office of Strategic Programs, Strategic Priorities and Impact Analysis Team

    2017-09-29

    This fact sheet "Lafayette, Colorado: Using Energy Data for Electric Vehicle Infrastructure Planning" explains how the City of Lafayette used data from the U.S. Department of Energy's Cities Leading through Energy Analysis and Planning (Cities-LEAP) and the State and Local Energy Data (SLED) programs to inform its city energy planning. It is one of ten fact sheets in the "City Energy: From Data to Decisions" series.

  2. electric vehicle

    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.

  3. Comparing the Mass, Energy, and Cost Effects of Lightweighting in Conventional and Electric Passenger Vehicles

    OpenAIRE

    Hofer, Johannes; Wilhelm, Erik; Schenler, Warren

    2014-01-01

    In this work the effect of weight reduction using advanced lightweight materials on the mass, energy use, and cost of conventional and battery electric passenger vehicles is compared. Analytic vehicle simulation is coupled with cost assessment to find the optimal degree of weight reduction minimizing manufacturing and total costs. The results show a strong secondary weight and cost saving potential for the battery electric vehicles, but a higher sensitivity of vehicle energy use to mass reduc...

  4. Real-Time Vehicle Energy Management System Based on Optimized Distribution of Electrical Load Power

    OpenAIRE

    Yuefei Wang; Hao Hu; Li Zhang; Nan Zhang; Xuhui Sun

    2016-01-01

    As a result of severe environmental pressure and stringent government regulations, refined energy management for vehicles has become inevitable. To improve vehicle fuel economy, this paper presents a bus-based energy management system for the electrical system of internal combustion engine vehicles. Both the model of an intelligent alternator and the model of a lead-acid battery are discussed. According to these models, the energy management for a vehicular electrical system is formulated as ...

  5. Electric vehicles, primary energy sources and CO2 emissions: Romanian case study

    International Nuclear Information System (INIS)

    Varga, Bogdan Ovidiu

    2013-01-01

    Starting on the 24th of April, 2011, the Romanian government offered to subsidize all potential buyers of electric vehicles, both private and corporate, offering 25% off of the retail price up to 5000 euros with no pollution tax. The Romanian government encourages all governmental institutions to consider buying electric vehicles when deciding to change their existing vehicles stock. This decision is strictly related to the Romanian government's approval of a long-term Energy Strategy, building on the National Energy Strategy for the Medium Term. The government's strategy emphasizes increasing energy efficiency and boosting renewable energy use. The first electric vehicles distributed in the Romanian market are the Citroen-C-Zero, the Mitsubishi i-MiEV, the Renault Kangoo Z.E. and the Renault Fluence Z.E. The energy consumption of these vehicles was analyzed, considering the CO 2 generation characteristics of a Romanian electric power plant. -- Highlights: ► Tax and governmental support for electrical vehicles in Romania. ► Evaluate the CO 2 pollution of the electrical vehicles in Romania's case. ► Comprehensive understanding of the influence of primary energy source over the pollution of an electrical vehicle. ► Approach to decrees the pollution of the electrical vehicles.

  6. Energy management for vehicle power net with flexible electric load demand

    NARCIS (Netherlands)

    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

  7. Baseline test data for the EVA electric vehicle. [low energy consumption automobiles

    Science.gov (United States)

    Harhay, W. C.; Bozek, J.

    1976-01-01

    Two electric vehicles from Electric Vehicle Associates were evaluated for ERDA at the Transportation Research Center of Ohio. The vehicles, loaded to a gross vehicle weight of 3750 pounds, had a range of 56.3 miles at a steady speed of 25 mph and a 27.4 miles range during acceleration-deceleration tests to a top speed of 30 mph. Energy consumption varied from 0.48 kw-hr/mi. to 0.59 kw-hr/mi.

  8. Electric-Drive Vehicles

    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).

  9. Electric-Drive Vehicles

    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).

  10. Ending America’s Energy Insecurity: How Electric Vehicles Can Drive the Solution to Energy Independence

    Science.gov (United States)

    2011-12-01

    Missile CBO Congressional Budget Office CAFE Corporate Average Fuel Economy DOE United States Department of Energy EV Electric Vehicle EIA...EV, 2 These funds are separate from the funds used to give $7,500 in tax rebates to customers who...corporate average fuel economy ( CAFE ) standards. That advantage stems from more 20 direct alignment with market forces (CBO, 2008). The

  11. Determining an energy-optimal thermal management strategy for electric driven vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Suchaneck, Andre; Probst, Tobias; Puente Leon, Fernando [Karlsruher Institut fuer Technology (KIT), Karlsruhe (Germany). Inst. of Industrial Information Technology (IIIT)

    2012-11-01

    In electric, hybrid electric and fuel cell vehicles, thermal management may have a significant impact on vehicle range. Therefore, optimal thermal management strategies are required. In this paper a method for determining an energy-optimal control strategy for thermal power generation in electric driven vehicles is presented considering all controlled devices (pumps, valves, fans, and the like) as well as influences like ambient temperature, vehicle speed, motor and battery and cooling cycle temperatures. The method is designed to be generic to increase the thermal management development process speed and to achieve the maximal energy reduction for any electric driven vehicle (e.g., by waste heat utilization). Based on simulations of a prototype electric vehicle with an advanced cooling cycle structure, the potential of the method is shown. (orig.)

  12. Optimal Contribution of Energy Management of Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Insaf YAHIA

    2016-12-01

    Full Text Available An Electrical Vehicle (EV has the advantage of being friendly with environment but it does not have the same performance as a current conventional vehicle. This work proposes a strategy to improve the EV autonomy. At first, an EV model that combines lead acid batteries and a DC motor is described. The individual mathematical model for each component is developed in MATLAB. Moreover, the control speed strategy using fuzzy logic is applied to the system to produce a maximum speed reference of an EV under different states of charge of the battery and acceleration. Then, a proportional integral control adjusts the speed strategy. When the vehicle is subjected to different scenarios, the simulation realized in MATLAB/Simulink will show good efficiency.

  13. Control and state estimation for energy recuperation in fully electric vehicles

    NARCIS (Netherlands)

    Falcone, P.; Lidberg, M.; Ólafsdóttir, J.M.; Jansen, S.T.H.; Iersel, S. van

    2011-01-01

    Energy recuperation in fully electric vehicles is mainly limited by the requirement to preserve vehicle stability but it is also dependent on the brake system design and the ability of the control system. The boundaries of vehicle stability are difficult to assess, and must be approached with care,

  14. Energy management for the electric powernet in vehicles with a conventional drivetrain

    NARCIS (Netherlands)

    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

  15. Electric vehicle charging to support renewable energy integration in a capacity constrained electricity grid

    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.

  16. Electric vehicles: energy consumption and the comparision with other new vehicle technologies

    NARCIS (Netherlands)

    Weijer, C.J.T. van de; Schillemans, R.A.A.

    1996-01-01

    In the end of the 19th century the electric vehicle (EV) controlled the market for road transport. But with remarkable improvements in the performance of internal combustion engine vehicles (ICEVs), EVs had vanished from the scene by the 1930's. Since then, they have attracted interest from time to

  17. Electric vehicles from the point of view of an energy utility; Elektrofahrzeuge aus Sicht eines Energieversorgers

    Energy Technology Data Exchange (ETDEWEB)

    Corpataux, M.

    2008-07-01

    This presentation made at the Swiss 2008 research conference on traffic by Marcel Corpataux from the Elektra Baselland utility (EBL) takes a look at the utility's activities in the renewable energies sector and the need for balancing energy supply and demand. Various methods on the demand side are briefly looked at and the use of 'vehicle-to-grid' concepts that use hybrid vehicles as storage facilities for electrical power are commented on. The chances offered to electricity utilities by using hybrid vehicles as buffer storage for electrical power are discussed.

  18. Comparing the Mass, Energy, and Cost Effects of Lightweighting in Conventional and Electric Passenger Vehicles

    Directory of Open Access Journals (Sweden)

    Johannes Hofer

    2014-09-01

    Full Text Available In this work the effect of weight reduction using advanced lightweight materials on the mass, energy use, and cost of conventional and battery electric passenger vehicles is compared. Analytic vehicle simulation is coupled with cost assessment to find the optimal degree of weight reduction minimizing manufacturing and total costs. The results show a strong secondary weight and cost saving potential for the battery electric vehicles, but a higher sensitivity of vehicle energy use to mass reduction for the conventional vehicle. Generally, light weighting has the potential to lower vehicle costs, however, the results are very sensitive to parameters affecting lifetime fuel costs for conventional and battery costs for electric vehicles. Based on current technology cost estimates it is shown that the optimal amount of primary mass reduction minimizing total costs is similar for conventional and electric vehicles and ranges from 22% to 39%, depending on vehicle range and overall use patterns. The difference between the optimal solutions minimizing manufacturing versus total costs is higher for conventional than battery electric vehicles.

  19. US Department of Energy Hybrid Electric Vehicle Battery and Fuel Economy Testing

    Science.gov (United States)

    Karner, Donald; Francfort, James

    The advanced vehicle testing activity (AVTA), part of the US Department of Energy's FreedomCAR and Vehicle Technologies Program, has conducted testing of advanced technology vehicles since August 1995 in support of the AVTA goal to provide benchmark data for technology modelling, and research and development programs. The AVTA has tested over 200 advanced technology vehicles including full-size electric vehicles, urban electric vehicles, neighborhood electric vehicles, and internal combustion engine vehicles powered by hydrogen. Currently, the AVTA is conducting a significant evaluation of hybrid electric vehicles (HEVs) produced by major automotive manufacturers. The results are posted on the AVTA web page maintained by the Idaho National Laboratory. Through the course of this testing, the fuel economy of HEV fleets has been monitored and analyzed to determine the 'real world' performance of their hybrid energy systems, particularly the battery. The initial fuel economy of these vehicles has typically been less than that determined by the manufacturer and also varies significantly with environmental conditions. Nevertheless, the fuel economy and, therefore, battery performance, has remained stable over the life of a given vehicle (160 000 miles).

  20. Environmental Assessment of the US Department of Energy Electric and Hybrid Vehicle Program

    Energy Technology Data Exchange (ETDEWEB)

    Singh, M.K.; Bernard, M.J. III; Walsh, R.F

    1980-11-01

    This environmental assessment (EA) focuses on the long-term (1985-2000) impacts of the US Department of Energy (DOE) electric and hybrid vehicle (EHV) program. This program has been designed to accelerate the development of EHVs and to demonstrate their commercial feasibility as required by the Electric and Hybrid Vehicle Research, Development and Demonstration Act of 1976 (P.L. 94-413), as amended (P.L. 95-238). The overall goal of the program is the commercialization of: (1) electric vehicles (EVs) acceptable to broad segments of the personal and commercial vehicle markets, (2) hybrid vehicles (HVs) with range capabilities comparable to those of conventional vehicles (CVs), and (3) advanced EHVs completely competitive with CVs with respect to both cost and performance. Five major EHV projects have been established by DOE: market demonstration, vehicle evaluation and improvement, electric vehicle commercialization, hybrid vehicle commercialization, and advanced vehicle development. Conclusions are made as to the effects of EV and HV commercialization on the: consumption and importation of raw materials; petroleum and total energy consumption; ecosystems impact from the time of obtaining raw material through vehicle use and materials recycling; environmental impacts on air and water quality, land use, and noise; health and safety aspects; and socio-economic factors. (LCL)

  1. Analysis of energy consumption and emission of the heterogeneous traffic flow consisting of traditional vehicles and electric vehicles

    Science.gov (United States)

    Xiao, Hong; Huang, Hai-Jun; Tang, Tie-Qiao

    2017-12-01

    Electric vehicle (EV) has become a potential traffic tool, which has attracted researchers to explore various traffic phenomena caused by EV (e.g. congestion, electricity consumption, etc.). In this paper, we study the energy consumption (including the fuel consumption and the electricity consumption) and emissions of heterogeneous traffic flow (that consists of the traditional vehicle (TV) and EV) under three traffic situations (i.e. uniform flow, shock and rarefaction waves, and a small perturbation) from the perspective of macro traffic flow. The numerical results show that the proportion of electric vehicular flow has great effects on the TV’s fuel consumption and emissions and the EV’s electricity consumption, i.e. the fuel consumption and emissions decrease while the electricity consumption increases with the increase of the proportion of electric vehicular flow. The results can help us better understand the energy consumption and emissions of the heterogeneous traffic flow consisting of TV and EV.

  2. Development of a driving cycle to evaluate the energy economy of electric vehicles in urban areas

    International Nuclear Information System (INIS)

    Brady, John; O’Mahony, Margaret

    2016-01-01

    Highlights: • Development of a driving cycle to evaluate energy economy of electric vehicles. • Improves on existing driving cycles by using real world data from electric vehicles. • Driving data from different road types and traffic conditions included. - Abstract: Understanding real-world driving conditions in the form of driving cycles is instrumental in the design of efficient powertrains and energy storage systems for electric vehicles. In addition, driving cycles serve as a standardised measurement procedure for the certification of a vehicle’s fuel economy and driving range. They also facilitate the evaluation of the economic and lifecycle costs of emerging vehicular technologies. However, discrepancies between existing driving cycles and real-world driving conditions exist due to a number of factors such as insufficient data, inadequate driving cycle development methodologies and methods to assess the representativeness of developed driving cycles. The novel aspect of the work presented here is the use of real-world data from electric vehicles, over a six month period, to derive a driving cycle appropriate for their assessment. A stochastic and statistical methodology is used to develop and assess the representativeness of the driving cycle against a separate set of real world electric vehicle driving data and the developed cycle performs well in that comparison. Although direct comparisons with internal combustion engine driving cycles are not that informative or relevant due to the marked differences between how they and electric vehicles operate, some discussion around how the developed electric vehicle cycle relates to them is also included.

  3. Predictive control strategies for energy saving of hybrid electric vehicles based on traffic light information

    Directory of Open Access Journals (Sweden)

    Kaijiang YU

    2015-10-01

    Full Text Available As the conventional control method for hybrid electric vehicle doesn’t consider the effect of known traffic light information on the vehicle energy management, this paper proposes a model predictive control intelligent optimization strategies based on traffic light information for hybrid electric vehicles. By building the simplified model of the hybrid electric vehicle and adopting the continuation/generalized minimum residual method, the model prediction problem is solved. The simulation is conducted by using MATLAB/Simulink platform. The simulation results show the effectiveness of the proposed model of the traffic light information, and that the proposed model predictive control method can improve fuel economy and the real-time control performance significantly. The research conclusions show that the proposed control strategy can achieve optimal control of the vehicle trajectory, significantly improving fuel economy of the vehicle, and meet the system requirements for the real-time optimal control.

  4. ELVIS: Comparing Electric and Conventional Vehicle Energy Consumption and CO2 Emissions

    DEFF Research Database (Denmark)

    Andersen, Ove; Krogh, Benjamin Bjerre; Torp, Kristian

    2017-01-01

    Making the transition from conventional combustion vehicles (CVs) to electric vehicles (EVs) requires the users to be comfortable with the limited range of EVs. We present a system named ELVIS that enables a direct comparison of energy/fuel consumption, CO2 emissions, and travel-time between CVs...

  5. Journey predictive energy management strategy for a plug-in hybrid electric vehicle

    OpenAIRE

    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...

  6. The impact of electric vehicles on the outlook of future energy system

    Science.gov (United States)

    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.

  7. Electric vehicle - near or far

    Energy Technology Data Exchange (ETDEWEB)

    Laiho, Y.

    1997-11-01

    Traffic is rapidly becoming the number one environmental problem, especially in metropolitan areas. Electric vehicles have many important advantages to offer. Air quality would be improved, since electric vehicles do not pollute the environment. The improvement obtained might be equated with that resulting from the introduction of district heat for the heating of residential buildings. Electric vehicles also present considerable potential for energy conservation

  8. The electric vehicle

    International Nuclear Information System (INIS)

    Sanchez duran, R.

    2010-01-01

    The decarbonization of transport is a key element in both energy and environmental European policies as well as one of the levers that will help us achieve the goals of improving energy efficiency, reducing CO 2 emissions and energy dependence. The use of electricity compared to other low-carbon fuels such as bio fuels and hydrogen has the advantage of its existing infrastructure (power generation plants, transmission and distribution networks), being only necessary to developed recharging infrastructures. We emphasize the role of electricity networks and their evolution, which will enable to manage demand and maximise the potential of renewable energies. The idea of an electric vehicle is not a recent one but dates back to the beginning of the last century, when first units appeared. Unfortunately, technological barriers were too high at the time to let them succeed. Namely those barriers limited the range of the electric vehicle due to problems with battery recharges. Nowadays, those difficulties have almost been solved and we can state that institutional support and coordination among all actors involved have made the electric vehicle a plausible reality. While the technological improvements needed for the electric vehicle to become cost competitive are carried out, the plug-in hybrid vehicle represents the intermediate step to reach a total decarbonization of transport. Endesa is committed to this revolution in transport mobility and believes that now is the right time to focus our efforts on it. Our goal is to contribute to a more balanced and sustainable world in the near future. (Author)

  9. Design and Implementation of a Control Strategy for Microgrid Containing Renewable Energy Generations and Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Mingchao Xia

    2013-01-01

    Full Text Available Large amount of such renewable energy generations as wind/photovoltaic generations directly connected to grid acting as distributed generations will cause control, protection, security, and safety problems. Microgrid, which has advantages in usage and control of distributed generations, is a promising approach to coordinate the conflict between distributed generations and the grid. Regarded as mobile power storages, batteries of electric vehicles can depress the fluctuation of power through the point of common coupling of microgrid. This paper presents a control strategy for microgrid containing renewable energy generations and electric vehicles. The control strategy uses current control for renewable energy generations under parallel-to-grid mode, and uses master-slave control under islanding mode. Simulations and laboratory experiments prove that the control strategy works well for microgrid containing renewable energy generations and electric vehicles and provides maximum power output of renewable energy and a stable and sustainable running under islanding mode.

  10. Energy recuperation in fully electric vehicles subject to stability and drivability requirements

    NARCIS (Netherlands)

    Ólafsdóttir, J.M.; Lidberg, M.; Falcone, P.; Iersel, S. van; Jansen, S.T.H.

    2012-01-01

    This paper presents a combined control and estimation framework for energy recuperation in fully electric vehicles. We consider a fully electric powertrain, with a driven front axle operating on low friction road surfaces. Our objective is to find the blending of regenerative and friction braking

  11. Energy conversion efficiency of hybrid electric heavy-duty vehicles operating according to diverse drive cycles

    Energy Technology Data Exchange (ETDEWEB)

    Banjac, Titina [AVL-AST d.o.o., Trg Leona Stuklja 5, SI-2000 Maribor (Slovenia); Trenc, Ferdinand; Katrasnik, Tomaz [Faculty of Mechanical Engineering, Univ. of Ljubljana, Askerceva 6, SI-1000 Ljubljana (Slovenia)

    2009-12-15

    Energy consumption and exhaust emissions of hybrid electric vehicles (HEVs) strongly depend on the HEV topology, power ratios of their components and applied control strategy. Combined analytical and simulation approach was applied to analyze energy conversion efficiency of different HEV topologies. Analytical approach is based on the energy balance equations and considers all energy paths in the HEVs from the energy sources to the wheels and to other energy sinks. Simulation approach is based on a fast forward-facing simulation model for simulating parallel and series HEVs as well as for conventional internal combustion engine vehicles, and considers all components relevant for modeling energy conversion phenomena. Combined approach enables evaluation of energy losses on different energy paths and provides their impact on the fuel economy. It therefore enables identification of most suitable HEV topology and of most suitable power ratios of the components for targeted vehicle application, since it reveals and quantifies the mechanisms that could lead to improved energy conversion efficiency of particular HEV. The paper exposes characteristics of the test cycles that lead to improved energy conversion efficiency of HEVs. Mechanisms leading to improved fuel economy of parallel HEVs through drive-away and vehicle propulsion at low powertrain loads by electric motor are also analyzed. It was also shown that control strategies managing energy flow through electric storage devices significantly influence energy conversion efficiency of series HEVs. (author)

  12. Energy Management System Optimization for Battery-Ultracapacitor Powered Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Selim Koroglu

    2017-03-01

    Full Text Available Energy usage and environment pollution in the transportation are major problems of today’s world. Although electric vehicles are promising solutions to these problems, their energy management methods are complicated and need to be improved for the extensive usage. In this work, the heuristic optimization methods; Differential Evolution Algorithm, Genetic Algorithm and Particle Swarm Optimization, are used to provide an optimal energy management system for a battery/ultracapacitor powered electric vehicle without prior knowledge of the drive cycle. The proposed scheme has been simulated in Matlab and applied on the ECE driving cycle. The differences between optimization methods are compared with reproducible and measurable error criteria. Results and the comparisons show the effectiveness and the practicality of the applied methods for the energy management problem of the multi-source electric vehicles.

  13. 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...

  14. An energy management for series hybrid electric vehicle using improved dynamic programming

    Science.gov (United States)

    Peng, Hao; Yang, Yaoquan; Liu, Chunyu

    2018-02-01

    With the increasing numbers of hybrid electric vehicle (HEV), management for two energy sources, engine and battery, is more and more important to achieve the minimum fuel consumption. This paper introduces several working modes of series hybrid electric vehicle (SHEV) firstly and then describes the mathematical model of main relative components in SHEV. On the foundation of this model, dynamic programming is applied to distribute energy of engine and battery on the platform of matlab and acquires less fuel consumption compared with traditional control strategy. Besides, control rule recovering energy in brake profiles is added into dynamic programming, so shorter computing time is realized by improved dynamic programming and optimization on algorithm.

  15. Energy Management of Dual-Source Propelled Electric Vehicle using Fuzzy Controller Optimized via Genetic Algorithm

    DEFF Research Database (Denmark)

    Khoobi, Saeed; Halvaei, Abolfazl; Hajizadeh, Amin

    2016-01-01

    Energy and power distribution between multiple energy sources of electric vehicles (EVs) is the main challenge to achieve optimum performance from EV. Fuzzy inference systems are powerful tools due to nonlinearity and uncertainties of EV system. Design of fuzzy controllers for energy management...... of EV relies too much on the expert experience and it may lead to sub-optimal performance. This paper develops an optimized fuzzy controller using genetic algorithm (GA) for an electric vehicle equipped with two power bank including battery and super-capacitor. The model of EV and optimized fuzzy...

  16. High benefits approach for electrical energy conversion in electric vehicles from DC to PWM-AC without any generated harmonic

    International Nuclear Information System (INIS)

    Fathabadi, Hassan

    2014-01-01

    Highlights: • Novel hybrid power source including AC feature for using in electric/hybrid vehicles. • Minimizing the energy loss in electric/hybrid vehicles by using the proposed system. • Suitable AC wave form for braking/accelerating purposes in electric/hybrid vehicles. • A novelty is that the harmonic generated by the added AC feature is really zero. • Another novelty is the capability of choosing arbitrary frequency for AC feature. - Abstract: This paper presents a novel hybrid power source, including a Li-ion battery together with an interface, which generates simultaneously electrical energy with the forms of both DC and AC for electric vehicles. A novel and high benefits approach is applied to convert the electrical energy of the Li-ion battery from DC form to single-phase symmetric pulse-width modulation (PWM)-AC form. Harmonic generation is one of the important problems when electrical energy is converted from DC to AC but there are not any generated harmonic during the DC/AC conversion using the proposed technique. The proposed system will be widely used in electric/hybrid vehicles because it has many benefits. Minimizing the energy loss (saving energy), no generated harmonic (it is really zero), the capability of arbitrary/necessary frequency selection for output AC voltage and the ability of long distance energy transmission are some novelties and advantages of the proposed system. The proposed hybrid power source including DC/AC PWM inverter is simulated in Proteus 6 software environment and a laboratory-based prototype of the hybrid power source is constructed to validate the theoretical and simulation results. Simulation and experimental results are presented to prove the superiority of the proposed hybrid power supply

  17. Assessment of renewable energy technologies for charging electric vehicles in Canada

    International Nuclear Information System (INIS)

    Verma, Aman; Raj, Ratan; Kumar, Mayank; Ghandehariun, Samane; Kumar, Amit

    2015-01-01

    Electric vehicle charging by renewable energy can help reduce greenhouse gas emissions. This paper presents a data-intensive techno-economic model to estimate the cost of charging an electric vehicle with a battery capacity of 16 kW h for an average travel distance of 65 km from small-scale renewable electricity in various jurisdictions in Canada. Six scenarios were developed that encompass scale of operation, charging time, and type of renewable energy system. The costs of charging an electric vehicle from an off-grid wind energy system at a charging time of 8 h is 56.8–58.5 cents/km in Montreal, Quebec, and 58.5–60.0 cents/km in Ottawa, Ontario. However, on integration with a small-scale hydro, the charging costs are 9.4–11.2 cents/km in Montreal, 9.5–11.1 cents/km in Ottawa and 10.2–12.2 cents/km in Vancouver, British Columbia. The results show that electric vehicle charging from small-scale hydro energy integration is cost competitive compared charging from conventional grid electricity in all the chosen jurisdictions. Furthermore, when the electric vehicle charging time decreases from 8 to 4 h, the cost of charging increases by 83% and 11% from wind and hydro energy systems, respectively. - Highlights: • Techno-economic analysis conducted for EV charging from wind and hydro. • EV charging from hydro energy is cost competitive than from wind energy. • GHG mitigation estimated from operation of EV charged from renewable energy. • Sensitivity of key parameters on cost of charging considered

  18. Investigation of Battery/Ultracapacitor Energy Storage Rating for a Fuel Cell Hybrid Electric Vehicle

    DEFF Research Database (Denmark)

    Schaltz, Erik; Khaligh, A.; Rasmussen, Peter Omand

    2008-01-01

    Combining high energy density batteries and high power density ultracapacitors in Fuel Cell Hybrid Electric Vehicles (FCHEV) results in a high efficient, high performance, low size, and light system. Often the batteries are rated with respect to their energy requirement in order to reduce...

  19. Modeling and Nonlinear Control of Fuel Cell / Supercapacitor Hybrid Energy Storage System for Electric Vehicles

    DEFF Research Database (Denmark)

    El Fadil, Hassan; Giri, Fouad; Guerrero, Josep M.

    2014-01-01

    This paper deals with the problem of controlling hybrid energy storage system (HESS) for electric vehicle. The storage system consists of a fuel cell (FC), serving as the main power source, and a supercapacitor (SC), serving as an auxiliary power source. It also contains a power block for energy...

  20. Lyapunov based control of hybrid energy storage system in electric vehicles

    DEFF Research Database (Denmark)

    El Fadil, H.; Giri, F.; Guerrero, Josep M.

    2012-01-01

    This paper deals with a Lyapunov based control principle in a hybrid energy storage system for electric vehicle. The storage system consists on fuel cell (FC) as a main power source and a supercapacitor (SC) as an auxiliary power source. The power stage of energy conversion consists on a boost...

  1. Coordinated operation of a neighborhood of smart households comprising electric vehicles, energy storage and distributed generation

    NARCIS (Netherlands)

    Paterakis, N.G.; Erdinc, O.; Pappi, I.N.; Bakirtzis, A.G.; Catalao, J.P.S.

    2016-01-01

    In this paper, the optimal operation of a neighborhood of smart households in terms of minimizing the total energy procurement cost is analyzed. Each household may comprise several assets such as electric vehicles, controllable appliances, energy storage and distributed generation. Bi-directional

  2. Beyond purchasing: Electric vehicle adoption motivation and consistent sustainable energy behaviour in The Netherlands

    NARCIS (Netherlands)

    Peters, Annemijn Maron; van der Werff, Ellen; Steg, Emmalina

    Adoption of smart energy technologies, such as electric vehicles (EVs), can significantly reduce fossil energy use, provided that adopters of an EV also use the EV in a sustainable way. Hence, it is key to understand which factors affect the likelihood that the adoption of EVs promotes the

  3. Real-Time Vehicle Energy Management System Based on Optimized Distribution of Electrical Load Power

    Directory of Open Access Journals (Sweden)

    Yuefei Wang

    2016-10-01

    Full Text Available As a result of severe environmental pressure and stringent government regulations, refined energy management for vehicles has become inevitable. To improve vehicle fuel economy, this paper presents a bus-based energy management system for the electrical system of internal combustion engine vehicles. Both the model of an intelligent alternator and the model of a lead-acid battery are discussed. According to these models, the energy management for a vehicular electrical system is formulated as a global optimal control problem which aims to minimize fuel consumption. Pontryagin’s minimum principle is applied to solve the optimal control problem to realize a real-time control strategy for electrical energy management in vehicles. The control strategy can change the output of the intelligent alternator and the battery with the changes of electrical load and driving conditions in real-time. Experimental results demonstrate that, compared to the traditional open-loop control strategy, the proposed control strategy for vehicle energy management can effectively reduce fuel consumption and the fuel consumption per 100 km is decreased by approximately 1.7%.

  4. VIII international electric vehicle symposium

    Energy Technology Data Exchange (ETDEWEB)

    1986-01-01

    The proceedings from the symposium are presented. Major topics discussed include: battery technology, powertrains; hybrid vehicles, marketing and economics, propulsion, and electric vehicle design and performance. Each paper has been separately indexed for inclusion in the Energy Data Base.

  5. Simulated annealing to handle energy and ancillary services joint management considering electric vehicles

    DEFF Research Database (Denmark)

    Sousa, Tiago M; Soares, Tiago; Morais, Hugo

    2016-01-01

    The massive use of distributed generation and electric vehicles will lead to a more complex management of the power system, requiring new approaches to be used in the optimal resource scheduling field. Electric vehicles with vehicle-to-grid capability can be useful for the aggregator players...... in the mitigation of renewable sources intermittency and in the ancillary services procurement. In this paper, an energy and ancillary services joint management model is proposed. A simulated annealing approach is used to solve the joint management for the following day, considering the minimization...... of the aggregator total operation costs. The case study considers a distribution network with 33-bus, 66 distributed generation and 2000 electric vehicles. The proposed simulated annealing is matched with a deterministic approach allowing an effective and efficient comparison. The simulated annealing presents...

  6. Analysis of downshift’s improvement to energy efficiency of an electric vehicle during regenerative braking

    International Nuclear Information System (INIS)

    Li, Liang; Li, Xujian; Wang, Xiangyu; Song, Jian; He, Kai; Li, Chenfeng

    2016-01-01

    Highlights: • Downshift is effective in improving the energy efficiency of electric vehicles. • Energy improvement of downshift varies with vehicle speed and brake strength. • The designed nonlinear sliding mode observer is accurate in estimating bake torque. • The proposed resembling PWM method is practical to regulate hydraulic pressure. • The effect of downshift on braking safety and comfort can be restrained by control. - Abstract: Downshift during regenerative braking helps to improve the energy efficiency of electric vehicles. Two main problems are involved in the downshift process. One is the determination of optimal downshift point, and the other is the cooperative control of regenerative braking and hydraulic braking. In order to achieve a systemic solution to these problems, a hierarchical control strategy is brought forward for an electric vehicle with a two-speed automated mechanical transmission. For the upper controller, an off-line calculation and on-line look-up table method is adopted to obtain the optimal downshift point, and a series regenerative braking distribution strategy is designed. For the medium controller, a nonlinear sliding mode observer is designed to obtain the actual hydraulic brake torque. For the lower controller, cooperative control of regenerative braking and hydraulic braking is given to ensure brake safety during downshift process, and a resembling pulse width modulation method is proposed to regulated the hydraulic brake torque. Simulation results and hardware-in-loop test show that the proposed algorithm is effective in improving the energy efficiency of electric vehicles.

  7. Estimates of the cost and energy consumption of aluminum-air electric vehicles

    Science.gov (United States)

    Cooper, J. F.

    1980-11-01

    Economic costs and primary energy consumption are estimated for general purpose electric vehicles using aluminum-air propulsion batteries within the time frame of the 1990's (earliest possible date of introduction). For an aluminum-air fuel economy of 36 tonne/km/kg-Al (optimized low-gallium alloys), a total refueling cost of 5.6 cents/km (1979$) was estimated for a 1.27 tonne vehicle. This is equivalent to $2 to 3/gal for automobiles of the same weight with fuel economies of 13.5 to 19.3 tonne-km/liter. The total primary energy consumption was estimated to be 1.3 to 1.7 kWh/km (coal) for the electric vehicle, which corresponds roughly to the energy cost of the automobiles using liquid fuels synthesized from coal. The energy consumption is 30 to 70 percent greater than the reference automobile using petroleum-derived gasoline.

  8. Day-Ahead Energy Planning with 100% Electric Vehicle Penetration in the Nordic Region by 2050

    DEFF Research Database (Denmark)

    Liu, Zhaoxi; Wu, Qiuwei; Nielsen, Arne Hejde

    2014-01-01

    This paper presents the day-ahead energy planning of passenger cars with 100% electric vehicle (EV) penetration in the Nordic region by 2050. EVs will play an important role in the future energy systems which can both reduce the greenhouse gas (GHG) emission from the transport sector and provide...... demand side flexibility required by the smart grids. On the other hand, the EVs will increase the electricity consumption. In order to quantify the electricity consumption increase due to the 100% EV penetration in the Nordic region to facilitate the power system planning studies, the day-ahead energy...

  9. Hybrid Electric Vehicle Testing | Transportation Research | NREL

    Science.gov (United States)

    Hybrid Electric Vehicle Evaluations Hybrid Electric Vehicle Evaluations How Hybrid Electric Vehicles Work Hybrid electric vehicles combine a primary power source, an energy storage system, and an is used to propel the vehicle during normal drive cycles. The batteries supply additional power for

  10. A novel multimode hybrid energy storage system and its energy management strategy for electric vehicles

    Science.gov (United States)

    Wang, Bin; Xu, Jun; Cao, Binggang; Zhou, Xuan

    2015-05-01

    This paper proposes a novel topology of multimode hybrid energy storage system (HESS) and its energy management strategy for electric vehicles (EVs). Compared to the conventional HESS, the proposed multimode HESS has more operating modes and thus it could in further enhance the efficiency of the system. The rule-based control strategy and the power-balancing strategy are developed for the energy management strategy to realize mode selection and power distribution. Generally, the DC-DC converter will operate at peak efficiency to convey the energy from the batteries to the UCs. Otherwise, the pure battery mode or the pure ultracapacitors (UCs) mode will be utilized without the DC-DC converter. To extend the battery life, the UCs have the highest priority to recycle the energy and the batteries are isolated from being recharged directly during regenerative braking. Simulations and experiments are established to validate the proposed multimode HESS and its energy management strategy. The results reveal that the energy losses in the DC-DC converter, the total energy consumption and the overall system efficiency of the proposed multimode HESS are improved compared to the conventional HESS.

  11. Determinants of the energy storage capacity of electric vehicles; Determinanten des Energiespeicherpotentials von Elektrofahrzeugen

    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.)

  12. Energy and environmental impacts of electric vehicle battery production and recycling

    International Nuclear Information System (INIS)

    Gaines, L.; Singh, M.

    1995-01-01

    Electric vehicle batteries use energy and generate environmental residuals when they are produced and recycled. This study estimates, for 4 selected battery types (advanced lead-acid, sodium-sulfur, nickel-cadmium, and nickel-metal hydride), the impacts of production and recycling of the materials used in electric vehicle batteries. These impacts are compared, with special attention to the locations of the emissions. It is found that the choice among batteries for electric vehicles involves tradeoffs among impacts. For example, although the nickel-cadmium and nickel-metal hydride batteries are similar, energy requirements for production of the cadmium electrodes may be higher than those for the metal hydride electrodes, but the latter may be more difficult to recycle

  13. Energy Management Strategy for a Hybrid Electric Vehicle Based on Deep Reinforcement Learning

    OpenAIRE

    Yue Hu; Weimin Li; Kun Xu; Taimoor Zahid; Feiyan Qin; Chenming Li

    2018-01-01

    An energy management strategy (EMS) is important for hybrid electric vehicles (HEVs) since it plays a decisive role on the performance of the vehicle. However, the variation of future driving conditions deeply influences the effectiveness of the EMS. Most existing EMS methods simply follow predefined rules that are not adaptive to different driving conditions online. Therefore, it is useful that the EMS can learn from the environment or driving cycle. In this paper, a deep reinforcement learn...

  14. Smart integration of electric vehicles in an energy community

    NARCIS (Netherlands)

    Negeri, E.; Baken, N.

    2012-01-01

    With increasing penetrations of renewable distributed generations (DGs) and electrified vehicles (EVs), the volatility of the renewable sources and the huge load of the EVs induce tremendous challenges for the power grid. The two technologies also have considerable synergetic potential to alleviate

  15. Comparison of the energy and environmental impact by integrating a H_2 vehicle and an electric vehicle into a zero-energy building

    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.

  16. The Electric Vehicle Challenge

    Science.gov (United States)

    Roman, Harry T.

    2010-01-01

    This article describes a design activity that provides students with a solid understanding of the many issues involved with alternate energy system design. In this activity, students will be able to learn about electric vehicles and have the opportunity to design a way to recharge the batteries while the cars are parked in a commuter garage. The…

  17. Electric and hybrid vehicles

    Science.gov (United States)

    1979-01-01

    Report characterizes state-of-the-art electric and hybrid (combined electric and heat engine) vehicles. Performance data for representative number of these vehicles were obtained from track and dynamometer tests. User experience information was obtained from fleet operators and individual owners of electric vehicles. Data on performance and physical characteristics of large number of vehicles were obtained from manufacturers and available literature.

  18. Hybrid electric vehicles TOPTEC

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1994-06-21

    This one-day TOPTEC session began with an overview of hybrid electric vehicle technology. Updates were given on alternative types of energy storage, APU control for low emissions, simulation programs, and industry and government activities. The keynote speech was about battery technology, a key element to the success of hybrids. The TOPEC concluded with a panel discussion on the mission of hybrid electric vehicles, with a perspective from industry and government experts from United States and Canada on their view of the role of this technology.

  19. Electric vehicles integration within low voltage electricity networks & possibilities for distribution energy loss reduction

    NARCIS (Netherlands)

    Lampropoulos, I.; Veldman, E.; Kling, W.L.; Gibescu, M.; Slootweg, J.G.

    2010-01-01

    With the prospect of an increasing number of electric vehicles (EVs) on the road, domestic charging will be the most obvious way to recharge the vehicles’ batteries. However, this can have adverse impacts to low voltage (LV) distribution grids such as high current demand, increased 3-phase load

  20. Modelling energy demand for a fleet of hydrogen-electric vehicles interacting with a clean energy hub

    International Nuclear Information System (INIS)

    Syed, F.; Fowler, M.; Wan, D.; Maniyali, Y.

    2009-01-01

    This paper details the development of an energy demand model for a hydrogen-electric vehicle fleet and the modelling of the fleet interactions with a clean energy hub. The approach taken is to model the architecture and daily operation of every individual vehicle in the fleet. A generic architecture was developed based on understanding gained from existing detailed models used in vehicle powertrain design, with daily operation divided into two periods: charging and travelling. During the charging period, the vehicle charges its Electricity Storage System (ESS) and refills its Hydrogen Storage System (HSS), and during the travelling period, the vehicle depletes the ESS and HSS based on distance travelled. Daily travel distance is generated by a stochastic model and is considered an input to the fleet model. The modelling of a clean energy hub is also presented. The clean energy hub functions as an interface between electricity supply and the energy demand (i.e. hydrogen and electricity) of the vehicle fleet. Finally, a sample case is presented to demonstrate the use of the fleet model and its implications on clean energy hub sizing. (author)

  1. Impact of Electric Vehicles as Distributed Energy Storage in Isolated Systems: The Case of Tenerife

    Directory of Open Access Journals (Sweden)

    Alfredo Ramírez Díaz

    2015-11-01

    Full Text Available Isolated regions are highly dependent on fossil fuels. The use of endogenous sources and the improvement in energy efficiency in all of the consumption activities are the two main ways to reduce the dependence of petroleum-derived fuels. Tenerife offers an excellent renewable resource (hours of sun and wind. However, the massive development of these technologies could cause important operational problems within the electric power grids, because of the small size of the system. In this paper, we explore the option of coupling an electric vehicle fleet as a distributed energy storage system to increase the participation of renewables in an isolated power system, i.e., Tenerife Island. A model simulator has been used to evaluate five key outputs, that is the renewable share, the energy spilled, the CO2 emissions, the levelized cost of generating electricity and fuel dependence, under alternative scenarios. Comparing to the current situation, combining a gradual renewable installed capacity and the introduction of an electric vehicle fleet using alternative charging strategies, a total of 30 different scenarios have been evaluated. Results shows that the impact of 50,000 electric vehicles would increase the renewable share in the electricity mix of the island up to 30%, reduce CO2 emissions by 27%, the total cost of electric generation by 6% and the oil internal market by 16%.

  2. Energy Management of Hybrid Electric Vehicles: 15 years of development at the Ohio State University

    Directory of Open Access Journals (Sweden)

    Rizzoni Giorgio

    2015-01-01

    Full Text Available The aim of this paper is to document 15 years of hybrid electric vehicle energy management research at The Ohio State University Center for Automotive Research (OSUCAR. Hybrid Electric Vehicle (HEV technology encompasses many diverse aspects. In this paper we focus exclusively on the evolution of supervisory control strategies for on-board energy management in HEV. We present a series of control algorithms that have been developed in simulation and implemented in prototype vehicles for charge-sustaining HEVs at OSU-CAR. These solutions span from fuzzy-logic control algorithms to more sophisticated model-based optimal control methods. Finally, methods developed for plug-in HEVs energy management are also discussed

  3. Life cycle analysis of energy supply infrastructure for conventional and electric vehicles

    International Nuclear Information System (INIS)

    Lucas, Alexandre; Alexandra Silva, Carla; Costa Neto, Rui

    2012-01-01

    Electric drive vehicle technologies are being considered as possible solutions to mitigate environmental problems and fossil fuels dependence. Several studies have used life cycle analysis technique, to assess energy use and CO 2 emissions, addressing fuels Well-to-Wheel life cycle or vehicle's materials Cradle-to-Grave. However, none has considered the required infrastructures for fuel supply. This study presents a methodology to evaluate energy use and CO 2 emissions from construction, maintenance and decommissioning of support infrastructures for electricity and fossil fuel supply of vehicles applied to Portugal case study. Using Global Warming Potential and Cumulative Energy Demand, three light-duty vehicle technologies were considered: Gasoline, Diesel and Electric. For fossil fuels, the extraction well, platform, refinery and refuelling stations were considered. For the Electric Vehicle, the Portuguese 2010 electric mix, grid and the foreseen charging point's network were studied. Obtained values were 0.6–1.5 gCO 2eq /km and 0.03–0.07 MJ eq /km for gasoline, 0.6–1.6 gCO 2eq /km and 0.02–0.06 MJ eq /km for diesel, 3.7–8.5 gCO 2eq /km and 0.06–0.17 MJ eq /km for EV. Monte Carlo technique was used for uncertainty analysis. We concluded that EV supply infrastructures are more carbon and energetic intensive. Contribution in overall vehicle LCA does not exceed 8%. - Highlights: ► ISO 14040 was applied to evaluate fuel supply infrastructures of ICE and EV. ► CED and GWP are used to assess the impact on WTW and CTG stages. ► EV chargers rate and ICE stations' lifetime influence uncertainty the most. ► EV facilities are more carbon and energetic intense than conventional fuels. ► Contribution of infrastructures in overall vehicle LCA does not exceed 8%.

  4. Hybrid Turbine Electric Vehicle

    Science.gov (United States)

    Viterna, Larry A.

    1997-01-01

    Hybrid electric power trains may revolutionize today's ground passenger vehicles by significantly improving fuel economy and decreasing emissions. The NASA Lewis Research Center is working with industry, universities, and Government to develop and demonstrate a hybrid electric vehicle. Our partners include Bowling Green State University, the Cleveland Regional Transit Authority, Lincoln Electric Motor Division, the State of Ohio's Department of Development, and Teledyne Ryan Aeronautical. The vehicle will be a heavy class urban transit bus offering double the fuel economy of today's buses and emissions that are reduced to 1/10th of the Environmental Protection Agency's standards. At the heart of the vehicle's drive train is a natural-gas-fueled engine. Initially, a small automotive engine will be tested as a baseline. This will be followed by the introduction of an advanced gas turbine developed from an aircraft jet engine. The engine turns a high-speed generator, producing electricity. Power from both the generator and an onboard energy storage system is then provided to a variable-speed electric motor attached to the rear drive axle. An intelligent power-control system determines the most efficient operation of the engine and energy storage system.

  5. Assessment and preliminary design of an energy buffer for regenerative braking in electric vehicles

    Science.gov (United States)

    Buchholz, R.; Mathur, A. K.

    1979-01-01

    Energy buffer systems, capable of storing the vehicle energy during braking and reusing this stored energy during acceleration, were examined. Some of these buffer systems when incorporated in an electric vehicle would result in an improvement in the performance and range under stop and go driving conditions. Buffer systems considered included flywheels, hydropneumatic, pneumatic, spring, and regenerative braking. Buffer ranking and rating criteria were established. Buffer systems were rated based on predicted range improvements, consumer acceptance, driveability, safety, reliability and durability, and initial and life cycle costs. A hydropneumatic buffer system was selected.

  6. U.S. Department of Energy Vehicle Technologies Program: Battery Test Manual For Plug-In Hybrid Electric Vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Christophersen, Jon P. [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2014-09-01

    This battery test procedure manual was prepared for the United States Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office. It is based on technical targets for commercial viability established for energy storage development projects aimed at meeting system level DOE goals for Plug-in Hybrid Electric Vehicles (PHEV). The specific procedures defined in this manual support the performance and life characterization of advanced battery devices under development for PHEV’s. However, it does share some methods described in the previously published battery test manual for power-assist hybrid electric vehicles. Due to the complexity of some of the procedures and supporting analysis, future revisions including some modifications and clarifications of these procedures are expected. As in previous battery and capacitor test manuals, this version of the manual defines testing methods for full-size battery systems, along with provisions for scaling these tests for modules, cells or other subscale level devices. The DOE-United States Advanced Battery Consortium (USABC), Technical Advisory Committee (TAC) supported the development of the manual. Technical Team points of contact responsible for its development and revision are Renata M. Arsenault of Ford Motor Company and Jon P. Christophersen of the Idaho National Laboratory. The development of this manual was funded by the Unites States Department of Energy, Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office. Technical direction from DOE was provided by David Howell, Energy Storage R&D Manager and Hybrid Electric Systems Team Leader. Comments and questions regarding the manual should be directed to Jon P. Christophersen at the Idaho National Laboratory (jon.christophersen@inl.gov).

  7. Power-based electric vehicle energy consumption model: Model development and validation

    International Nuclear Information System (INIS)

    Fiori, Chiara; Ahn, Kyoungho; Rakha, Hesham A.

    2016-01-01

    Highlights: • The study developed an instantaneous energy consumption model (VT-CPEM) for EVs. • The model captures instantaneous braking energy regeneration. • The model can be used for transportation modeling and vehicle applications (e.g. eco-routing). • The proposed model can be easily calibrated using publically available EV data. • Usages of air conditioning and heating systems reduce EV energy consumption by up to 10% and 24%, respectively. - Abstract: The limited drive range (The maximum distance that an EV can travel.) of Electric Vehicles (EVs) is one of the major challenges that EV manufacturers are attempting to overcome. To this end, a simple, accurate, and efficient energy consumption model is needed to develop real-time eco-driving and eco-routing systems that can enhance the energy efficiency of EVs and thus extend their travel range. Although numerous publications have focused on the modeling of EV energy consumption levels, these studies are limited to measuring energy consumption of an EV’s control algorithm, macro-project evaluations, or simplified well-to-wheels analyses. Consequently, this paper addresses this need by developing a simple EV energy model that computes an EV’s instantaneous energy consumption using second-by-second vehicle speed, acceleration and roadway grade data as input variables. In doing so, the model estimates the instantaneous braking energy regeneration. The proposed model can be easily implemented in the following applications: in-vehicle, Smartphone eco-driving, eco-routing and transportation simulation software to quantify the network-wide energy consumption levels for a fleet of EVs. One of the main advantages of EVs is their ability to recover energy while braking using a regenerative braking system. State-of-the-art vehicle energy consumption models consider an average constant regenerative braking energy efficiency or regenerative braking factors that are mainly dependent on the vehicle’s average

  8. Integrated energy and advanced thermal management system for hybrid electric vehicles

    NARCIS (Netherlands)

    Wei, C.

    2017-01-01

    Hybrid electric vehicles (HEVs) featuring a fuel source engine and an energy storage source battery play an important role in improving fuel efficiency compared with its conventional counterparts. In view of the drawbacks of the existing research neglecting the thermal aspects when it comes to

  9. Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply

    NARCIS (Netherlands)

    Walraven, E.M.P.; Spaan, M.T.J.; Kaminka, Gal A.; Fox, Maria; Bouquet, Paolo; Hüllermeier, Eyke; Dignum, Virginia; Dignum, Frank; van Harmelen, Frank

    2016-01-01

    Renewable energy sources introduce uncertainty regarding generated power in smart grids. For instance, power that is generated by wind turbines is time-varying and dependent on the weather. Electric vehicles will become increasingly important in the development of smart grids with a high penetration

  10. A Control Algorithm for Electric Vehicle Fast Charging Stations Equipped with Flywheel Energy Storage Systems

    DEFF Research Database (Denmark)

    Sun, Bo; Dragicevic, Tomislav; Freijedo Fernandez, Francisco Daniel

    2016-01-01

    This paper proposes a control strategy for plugin electric vehicle (PEV) fast charging station (FCS) equipped with a flywheel energy storage system (FESS). The main role of the FESS is not to compromise the predefined charging profile of PEV battery during the provision of a hysteresis-type active...

  11. Two-Level Control for Fast Electrical Vehicle Charging Stations with Multi Flywheel Energy Storage System

    DEFF Research Database (Denmark)

    SUN, BO; Dragicevic, Tomislav; Vasquez, Juan Carlos

    2015-01-01

    This paper applies a hierarchical control for a fast charging station (FCS) composed of paralleled PWM rectifier and dedicated paralleled multiple flywheel energy storage systems (FESSs), in order to mitigate peak power shock on grid caused by sudden connection of electrical vehicle (EV) chargers...

  12. Electric vehicle energy consumption modelling and prediction based on road information

    NARCIS (Netherlands)

    Wang, J.; Besselink, I.J.M.; Nijmeijer, H.

    The limited driving range is considered as a significant barrier to the spread of electric vehicles. One effective method to reduce “range anxiety” is to offer accurate information to the driver on the remaining driving range. However, the energy consumption during driving is largely determined by

  13. Continual Energy Management System of Proton Exchange Membrane Fuel Cell Hybrid Power Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Ren Yuan

    2016-01-01

    Full Text Available Current research status in energy management of Proton Exchange Membrane (PEM fuel cell hybrid power electric vehicles are first described in this paper, and then build the PEMFC/ lithium-ion battery/ ultra-capacitor hybrid system model. The paper analysis the key factors of the continuous power available in PEM fuel cell hybrid power electric vehicle and hybrid power system working status under different driving modes. In the end this paper gives the working flow chart of the hybrid power system and concludes the three items of the system performance analysis.

  14. Energy Recovery for the Main and Auxiliary Sources of Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Binggang Cao

    2010-10-01

    Full Text Available Based on the traditional regenerative braking electrical circuit, a novel energy recovery system for the main and auxiliary sources of electric vehicles (EVs has been developed to improve their energy efficiency. The electrical circuit topology is presented in detail. During regenerative braking, the recovered mechanical energy is stored in both the main source and the auxiliary source at the same time. The mathematical model of the proposed system is derived step by step. Combining the merits and defects of H2 optimal control and H∞ robust control, a H2/H∞ controller is designed to guarantee both the system performance and robust stability. The perfect match between the simulated and experimental results validates the notion that the proposed novel energy recovery system is both feasible and effective, as more energy is recovered than that with the traditional energy recovery systems, in which recovered energy is stored only in the main source.

  15. Energy Recovery for the Main and Auxiliary Sources of Electric Vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Min Ye [Key Laboratory for Highway Construction Technology and Equipment of Ministry of Education, Chang’an University, Xi’an (China); Sengjie Jiao [Key Laboratory for Highway Construction Technology and Equipment of Ministry of Education, Chang’an University, Xi’an (China); Binggang Cao [School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an (China)

    2010-09-15

    Based on the traditional regenerative braking electrical circuit, a novel energy recovery system for the main and auxiliary sources of electric vehicles (EVs) has been developed to improve their energy efficiency. The electrical circuit topology is presented in detail. During regenerative braking, the recovered mechanical energy is stored in both the main source and the auxiliary source at the same time. The mathematical model of the proposed system is derived step by step. Combining the merits and defects of H2 optimal control and H-infinity robust control, a H2/H-infinity controller is designed to guarantee both the system performance and robust stability. The perfect match between the simulated and experimental results validates the notion that the proposed novel energy recovery system is both feasible and effective, as more energy is recovered than that with the traditional energy recovery systems, in which recovered energy is stored only in the main source.

  16. Energy Recovery for the Main and Auxiliary Sources of Electric Vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Ye, M.; Jiao, S. [Key Laboratory for Highway Construction Technology and Equipment of Ministry of Education, Chang' an University, Xi' an 710064 (China); Cao, B. [School of Mechanical Engineering, Xi' an Jiaotong University, Xi' an 710049 (China)

    2010-10-15

    Based on the traditional regenerative braking electrical circuit, a novel energy recovery system for the main and auxiliary sources of electric vehicles (EVs) has been developed to improve their energy efficiency. The electrical circuit topology is presented in detail. During regenerative braking, the recovered mechanical energy is stored in both the main source and the auxiliary source at the same time. The mathematical model of the proposed system is derived step by step. Combining the merits and defects of H{sub 2} optimal control and H{sub {infinity}} robust control, a H{sub 2}/H{sub {infinity}} controller is designed to guarantee both the system performance and robust stability. The perfect match between the simulated and experimental results validates the notion that the proposed novel energy recovery system is both feasible and effective, as more energy is recovered than that with the traditional energy recovery systems, in which recovered energy is stored only in the main source. (authors)

  17. Modeling light-duty plug-in electric vehicles for national energy and transportation planning

    International Nuclear Information System (INIS)

    Wu, Di; Aliprantis, Dionysios C.

    2013-01-01

    This paper sets forth a family of models of light-duty plug-in electric vehicle (PEV) fleets, appropriate for conducting long-term national-level planning studies of the energy and transportation sectors in an integrated manner. Using one of the proposed models, three case studies on the evolution of the U.S. energy and transportation infrastructures are performed, where portfolios of optimum investments over a 40-year horizon are identified, and interdependencies between the two sectors are highlighted. The results indicate that with a gradual but aggressive introduction of PEVs coupled with investments in renewable energy, the total cost from the energy and transportation systems can be reduced by 5%, and that overall emissions from electricity generation and light-duty vehicle (LDV) tailpipes can be reduced by 10% over the 40-year horizon. The annual gasoline consumption from LDVs can be reduced by 66% by the end of the planning horizon, but an additional 800 TWh of annual electricity demand will be introduced. In addition, various scenarios of greenhouse gas (GHG) emissions reductions are investigated. It is found that GHG emissions can be significantly reduced with only a marginal cost increment, by shifting electricity generation from coal to renewable sources. - Highlights: • We model plug-in electric vehicles (PEVs) for long-term national planning studies. • Realistic travel patterns are used to estimate the vehicles' energy consumption. • National energy and transportation system interdependencies are considered. • Case studies illustrate optimum investments in energy and transportation sectors. • PEVs synergistically with renewable energy can aggressively reduce GHG emissions

  18. Total energy cycle assessment of electric and conventional vehicles: an energy and environmental analysis. Volume 1: technical report

    Energy Technology Data Exchange (ETDEWEB)

    Cuenca, R.; Formento, J.; Gaines, L.; Marr, B.; Santini, D.; Wang, M. [Argonne National Lab., IL (United States); Adelman, S.; Kline, D.; Mark, J.; Ohi, J.; Rau, N. [National Renewable Energy Lab., Golden, CO (United States); Freeman, S.; Humphreys, K.; Placet, M. [Pacific Northwest National Lab., Richland, WA (United States)

    1998-01-01

    This report compares the energy use, oil use and emissions of electric vehicles (EVs) with those of conventional, gasoline-powered vehicles (CVs) over the total life cycle of the vehicles. The various stages included in the vehicles` life cycles include vehicle manufacture, fuel production, and vehicle operation. Disposal is not included. An inventory of the air emissions associated with each stage of the life cycle is estimated. Water pollutants and solid wastes are reported for individual processes, but no comprehensive inventory is developed. Volume I contains the major results, a discussion of the conceptual framework of the study, and summaries of the vehicle, utility, fuel production, and manufacturing analyses. It also contains summaries of comments provided by external peer reviewers and brief responses to these comments.

  19. Combined simulation of energy and thermal management for an electric vehicle

    Energy Technology Data Exchange (ETDEWEB)

    Mohrmann, Bjoern; Jeck, Peter [Institut fuer Kraftfahrzeuge Aachen (Germany); Simon, Carsten [fortiss GmbH, Muenchen (Germany); Ungermann, Jochen [Audi AG, Ingolstadt (Germany)

    2012-11-01

    The project eperformance, which is funded by the BMBF, is conducted by project partners from RWTH Aachen, Audi, Bosch Engineering and fortiss GmbH, in order to demonstrate the concept of an electric vehicle on the basis of a holistic development approach. To support this, several simulation platforms come into use, i.e. CFD Simulation for cooling concepts, electromagnetic simulations for electric machine design, physical simulation of cooling circuits as well as vehicle mechanics and controller design. To develop an energy efficient vehicle management, some of these simulation domains have to be combined, to simulate interdependencies between for example usage of high-voltage batteries, their thermal response and the impact for controller strategies. Within the project it was decided to use the Tool TISC (TLK Inter Software Connector) to combine as well a physical model, based on Modelica/Dymola to simulate thermal behaviours of components with a longitudinal vehicle model and a controller model, both based in MATLAB/Simulink. Advantages of such a coupled simulation are the re-usability of existing models in both tools with their tool-specific benefits as well as the possibility to cluster the models on different computers. The article will explain how the combined simulation is set up and parameterized, and will show two use cases: the thermal management of the two independent battery systems of the demonstrator vehicle and the torque distribution on the three electric machines in the vehicle, depending on the drive situation and the thermal state of the machines. (orig)

  20. Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Kanghyun Nam

    2015-07-01

    Full Text Available In this paper, a robust wheel slip control system based on a sliding mode controller is proposed for improving traction-ability and reducing energy consumption during sudden acceleration for a personal electric vehicle. Sliding mode control techniques have been employed widely in the development of a robust wheel slip controller of conventional internal combustion engine vehicles due to their application effectiveness in nonlinear systems and robustness against model uncertainties and disturbances. A practical slip control system which takes advantage of the features of electric motors is proposed and an algorithm for vehicle velocity estimation is also introduced. The vehicle velocity estimator was designed based on rotational wheel dynamics, measurable motor torque, and wheel velocity as well as rule-based logic. The simulations and experiments were carried out using both CarSim software and an experimental electric vehicle equipped with in-wheel-motors. Through field tests, traction performance and effectiveness in terms of energy saving were all verified. Comparative experiments with variations of control variables proved the effectiveness and practicality of the proposed control design.

  1. Electric Vehicle Technician

    Science.gov (United States)

    Moore, Pam

    2011-01-01

    With President Obama's goal to have one million electric vehicles (EV) on the road by 2015, the electric vehicle technician should have a promising and busy future. "The job force in the car industry is ramping up for a revitalized green car industry," according to Greencareersguide.com. An electric vehicle technician will safely troubleshoot and…

  2. Distributed energy resources management using plug-in hybrid electric vehicles as a fuel-shifting demand response resource

    DEFF Research Database (Denmark)

    Morais, Hugo; Sousa, Tiago; Soares, J.

    2015-01-01

    In the smart grids context, distributed energy resources management plays an important role in the power systems' operation. Battery electric vehicles and plug-in hybrid electric vehicles should be important resources in the future distribution networks operation. Therefore, it is important...... to develop adequate methodologies to schedule the electric vehicles' charge and discharge processes, avoiding network congestions and providing ancillary services.This paper proposes the participation of plug-in hybrid electric vehicles in fuel shifting demand response programs. Two services are proposed......, namely the fuel shifting and the fuel discharging. The fuel shifting program consists in replacing the electric energy by fossil fuels in plug-in hybrid electric vehicles daily trips, and the fuel discharge program consists in use of their internal combustion engine to generate electricity injecting...

  3. SDP Policy Iteration-Based Energy Management Strategy Using Traffic Information for Commuter Hybrid Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Xiaohong Jiao

    2014-07-01

    Full Text Available This paper demonstrates an energy management method using traffic information for commuter hybrid electric vehicles. A control strategy based on stochastic dynamic programming (SDP is developed, which minimizes on average the equivalent fuel consumption, while satisfying the battery charge-sustaining constraints and the overall vehicle power demand for drivability. First, according to the sample information of the traffic speed profiles, the regular route is divided into several segments and the statistic characteristics in the different segments are constructed from gathered data on the averaged vehicle speeds. And then, the energy management problem is formulated as a stochastic nonlinear and constrained optimal control problem and a modified policy iteration algorithm is utilized to generate a time-invariant state-dependent power split strategy. Finally, simulation results over some driving cycles are presented to demonstrate the effectiveness of the proposed energy management strategy.

  4. Energy management systems on board of electric vehicles, based on power electronics

    Energy Technology Data Exchange (ETDEWEB)

    Guidi, Giuseppe

    2009-03-15

    The core of any electric vehicle (EV) is the electric drive train, intended as the energy conversion chain from the energy tank (typically some kind of rechargeable battery) to the electric motor that converts the electrical energy into the mechanical energy needed for the vehicle motion. The need for on-board electrical energy storage is the factor that has so far prevented pure electric vehicles from conquering significant market share. In fact electrochemical batteries, which are currently the most suitable device for electrical energy storage, have serious limitations in terms of energy and/or power density, cost and safety. All those characteristics reflect in pure electric vehicles being outperformed by standard internal combustion engine (ICE) based vehicles in terms of driving range, time needed to refuel and purchase cost. Electric vehicles do have their distinctive advantages, being intrinsically much more efficient, operating at zero emissions at the pipe, and offering a higher degree of controllability that can potentially enhance driving safety. No wonder then, that electric energy storage technology has attracted considerable R&D investments, resulting in new traction battery packs that are getting closer and closer to the industrial targets. In this scenario of EV technology gaining momentum, power electronics engineers have to come up with newer solutions allowing for more efficient and more reliable utilization of the precious on-board energy that comes in a form that cannot be directly utilized by the motor. At present, most of the research in the area of power electronics for automotive is focused in volume and cost reduction techniques. The increase in power density is pursued by developing components that can be operated at higher temperature, thus relieving the requirements on cooling. In this thesis, the focus is on the development of alternative topologies for the power electronics converters that make use of some peculiarities of the energy

  5. Edge-enriched, porous carbon-based, high energy density supercapacitors for hybrid electric vehicles.

    Science.gov (United States)

    Kim, Yong Jung; Yang, Cheol-Min; Park, Ki Chul; Kaneko, Katsumi; Kim, Yoong Ahm; Noguchi, Minoru; Fujino, Takeshi; Oyama, Shigeki; Endo, Morinobu

    2012-03-12

    Supercapacitors can store and deliver energy by a simple charge separation, and thus they could be an attractive option to meet transient high energy density in operating fuel cells and in electric and hybrid electric vehicles. To achieve such requirements, intensive studies have been carried out to improve the volumetric capacitance in supercapacitors using various types and forms of carbons including carbon nanotubes and graphenes. However, conventional porous carbons are not suitable for use as electrode material in supercapacitors for such high energy density applications. Here, we show that edge-enriched porous carbons are the best electrode material for high energy density supercapacitors to be used in vehicles as an auxiliary powertrain. Molten potassium hydroxide penetrates well-aligned graphene layers vertically and consequently generates both suitable pores that are easily accessible to the electrolyte and a large fraction of electrochemically active edge sites. We expect that our findings will motivate further research related to energy storage devices and also environmentally friendly electric vehicles. Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  6. Electric Vehicles Integration in the Electric Power System with Intermittent Energy Sources - The Charge/Discharge infrastructure

    DEFF Research Database (Denmark)

    Marra, Francesco

    The replacement of conventional fuelled vehicles with electric vehicles (EVs) is going to increase in the coming years, following the trend seen for renewable energy sources (RES), as photovoltaic (PV) and wind power. In this scenario, the electric power systems in Europe are going to accommodate...... increased levels of non-dispatchable and fluctuating energy sources, as well as additional power demand due to EV charging. If the charging of EVs can be intelligently managed, several advantages can be offered to the power system. How useful coordinated EV charging can be, in combination with RES...... and the power levels needed. Furthermore, during EV coordination, a number of nonlinearities and battery ageing issues should be taken into account, to ensure a correct EV coordination and to preserve the EV battery lifetime. The third part of this research exploits the use of EV load coordination as an energy...

  7. Thermoelectrics as elements of hybrid-electric vehicle thermal energy systems

    Science.gov (United States)

    Headings, Leon; Washington, Gregory; Jaworski, Christopher M.

    2008-03-01

    Despite vast technological improvements, the traditional internal combustion powered vehicle still achieves only 25- 30% efficiency, with the remainder lost primarily as heat. While the load leveling offered by hybrid-electric vehicle technology helps to improve this overall efficiency, part of the efficiency gains are achieved by making new systems such as regenerative braking viable. In a similar fashion, thermoelectric (TE) energy recovery has long been considered for traditional vehicles with mixed results, but little has been done to consider thermoelectrics in the framework of the unique energy systems of hybrid vehicles. Systems that may not have been viable or even possible with traditional vehicles may offer improvements to system efficiency as well as emissions, vehicle durability, passenger comfort, and cost. This research describes a simulation developed for evaluating and optimizing thermoelectric energy recovery systems and results for four different system configurations. Two novel system configurations are presented which offer the potential for additional benefits such as emissions reduction that will soon be quantified. In addition, a test setup is presented which was constructed for the testing and validation of various thermoelectric recovery systems. Actual test performance was near the expected theoretical performance and supported the conclusions reached from the computer simulations.

  8. Analytical method to evaluate fuel consumption of hybrid electric vehicles at balanced energy content of the electric storage devices

    Energy Technology Data Exchange (ETDEWEB)

    Katrasnik, Tomaz [University of Ljubljana, Faculty of Mechanical Engineering, Askerceva 6, 1000 Ljubljana (Slovenia)

    2010-11-15

    Innovative analytically based method to calculate corrected fuel consumption of parallel and series hybrid electric vehicles (HEVs) at balanced energy content of the electric storage devices is proposed and validated in the paper. The proposed analytical method is generally applicable and features highly accurate corrected fuel consumption results. It enables calculation of the corrected fuel consumption out of a single fuel consumption test run in a single analytic post-processing step. An additional fuel consumption test run might be needed to obtain highly accurate results if ratio of the energy content deviation of the electric storage devices to the energy used for vehicle propulsion over the test cycle is high. Proposed method enables consideration of non-linear energy flow changes and non-linear HEV component efficiency changes caused by the energy management strategy or by the component characteristics. The method therefore features highly accurate results out of the minimum number of fuel consumption test runs and thus optimizes workload for development or optimization of HEVs. The input data of the method are characteristic energy flows and efficiencies that are derived from the energy flows on selected energy paths of HEVs. (author)

  9. Energy storage technology for electric and hybrid vehicles. Matching technology to design requirements

    Energy Technology Data Exchange (ETDEWEB)

    Wahlstroem, J. [Sycon Energikonsult AB, Malmoe (Sweden)

    1999-12-01

    A central issue when dealing with electrical vehicles has always been how to store energy in sufficient quantities. On April 27 through 28 1999 a workshop was held on this matter at University of California Davis (UC Davis). Organizer and host was Dr. Andrew Burke and the Institute of Transportation Studies (ITS) at UC Davis. The workshop included battery technology, ultra capacitors and fly wheels, but did not include fuel cell technology. In this paper the conference is reviewed with the emphasis on battery development. A section on ultra capacitors and flywheels is also included. The overall observation made at the conference is that most of the effort on energy storage in electric and hybrid vehicles are put into batteries. There is some development on ultra capacitors but almost none on flywheels. The battery also seems to be the choice of the car industry at this point, especially the pulse battery for engine dominant hybrid vehicles, like the Toyota Prius. The battery manufacturers seem to focus more on technology development than cost reduction at this point. An important technological issue as of now is to improve thermal management in order to increase life of the batteries. But when the technological goals are met focus must shift to cost minimization and marketing if the battery electric vehicle shall make a market break through.

  10. Feasibility study of a green energy powered thermoelectric chip based air conditioner for electric vehicles

    International Nuclear Information System (INIS)

    Miranda, Á.G.; Chen, T.S.; Hong, C.W.

    2013-01-01

    Traditional compressed-refrigerant air conditioning systems consume substantial energy that may reduce the driving performance and cruising mileage of electric vehicles considerably. It is crucial to design a new climate control system, using a direct energy conversion principle, to further aid in the commercialization of modern electric vehicles. A solid state air conditioner model consisting on TECs (thermoelectric chips) as the load, DSSCs (dye sensitized solar cells) as the renewable energy source and high power LiBs (lithium-ion batteries) as an energy storage device are considered for a personal mobility vehicle. The power management between the main power net and the solid state air conditioner interface is designed with an outer proportional-integral controller and an inner passivity based current controller with a loss included model for perfect tracking. This model is intended to comprise thermal and electrical elements which can be tunable for performance benchmarking and optimization of a solid state air conditioning system. Dynamic performance simulations of the solid-state air conditioner are performed, alongside guidelines for feasibility. - Highlights: • Alternative model extraction for dye sensitized solar cells. • Improved and computationally fast model for the cabin air temperature dynamics. • Euler–Lagrange loss included modeling of a buck converter. • Loss-included passivity based inner loop current control. • The thermoelectric chip air conditioner is tested in simulated cooling/heating scenarios

  11. Test methods for evaluating energy consumption and emissions of vehicles with electric, hybrid and fuel cell power trains

    NARCIS (Netherlands)

    Smokers, R.T.M.; Ploumen, S.; Conte, M.; Buning, L.; Meier-Engel, K.

    2000-01-01

    As part of the MATADOR-project measurement methods have been developed for the evaluation of the energy consumption and emissions of vehicles with advanced propulsion systems, such as battery-electric, hybrid electric and fuel cell vehicles. Based on an inventory of existing and prospective standard

  12. Multi-sources model and control algorithm of an energy management system for light electric vehicles

    International Nuclear Information System (INIS)

    Hannan, M.A.; Azidin, F.A.; Mohamed, A.

    2012-01-01

    Highlights: ► An energy management system (EMS) is developed for a scooter under normal and heavy power load conditions. ► The battery, FC, SC, EMS, DC machine and vehicle dynamics are modeled and designed for the system. ► State-based logic control algorithms provide an efficient and feasible multi-source EMS for light electric vehicles. ► Vehicle’s speed and power are closely matched with the ECE-47 driving cycle under normal and heavy load conditions. ► Sources of energy changeover occurred at 50% of the battery state of charge level in heavy load conditions. - Abstract: This paper presents the multi-sources energy models and ruled based feedback control algorithm of an energy management system (EMS) for light electric vehicle (LEV), i.e., scooters. The multiple sources of energy, such as a battery, fuel cell (FC) and super-capacitor (SC), EMS and power controller, DC machine and vehicle dynamics are designed and modeled using MATLAB/SIMULINK. The developed control strategies continuously support the EMS of the multiple sources of energy for a scooter under normal and heavy power load conditions. The performance of the proposed system is analyzed and compared with that of the ECE-47 test drive cycle in terms of vehicle speed and load power. The results show that the designed vehicle’s speed and load power closely match those of the ECE-47 test driving cycle under normal and heavy load conditions. This study’s results suggest that the proposed control algorithm provides an efficient and feasible EMS for LEV.

  13. Game-Theoretic Energy Management for Residential Users with Dischargeable Plug-in Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Bingtuan Gao

    2014-11-01

    Full Text Available The plug-in electric vehicle (PEV has attracted more and more attention because of the energy crisis and environmental pollution, which is also the main shiftable load of the residential users’ demand side management (DSM system in the future smart grid (SG. In this paper, we employ game theory to provide an autonomous energy management system among residential users considering selling energy back to the utility company by discharging the PEV’s battery. By assuming all users are equipped with smart meters to execute automatic energy consumption scheduling (ECS and the energy company can adopt adequate pricing tariffs relating to time and level of energy usage, we formulate an energy management game, where the players are the residential users and the strategies are their daily schedules of household appliance use. We will show that the Nash equilibrium of the formulated energy management game can guarantee the global optimization in terms of minimizing the energy costs, where the depreciation cost of PEV’s battery because of discharging and selling energy back is also considered. Simulation results verify that the proposed game-theoretic approach can reduce the total energy cost and individual daily electricity payment. Moreover, since plug-in electric bicycles (PEBs are currently widely used in China, simulation results of residential users owing household appliances and bidirectional energy trading of PEBs are also provided and discussed.

  14. Potential impacts assessment of plug-in electric vehicles on the Portuguese energy market

    International Nuclear Information System (INIS)

    Camus, C.; Farias, T.; Esteves, J.

    2011-01-01

    Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs), which obtain their fuel from the grid by charging a battery, are set to be introduced into the mass market and expected to contribute to oil consumption reduction. In this research, scenarios for 2020 EVs penetration and charging profiles are studied integrated with different hypotheses for electricity production mix. The impacts in load profiles, spot electricity prices and emissions are obtained for the Portuguese case study. Simulations for year 2020, in a scenario of low hydro production and high prices, resulted in energy costs for EVs recharge of 20 cents/kWh, with 2 million EVs charging mainly at evening peak hours. On the other hand, in an off-peak recharge, a high hydro production and low wholesale prices' scenario, recharge costs could be reduced to 5.6 cents/kWh. In these extreme cases, EV's energy prices were between 0.9 Euro to 3.2 Euro per 100 km. Reductions in primary energy consumption, fossil fuels use and CO 2 emissions of up to 3%, 14% and 10%, respectively, were verified (for a 2 million EVs' penetration and a dry year's off-peak recharge scenario) from the transportation and electricity sectors together when compared with a BAU scenario without EVs. - Highlights: → EVs and PHEVs impacts in energy, power profiles and spot electricity prices. → Reductions in primary energy consumption, fossil fuels use and CO 2 emissions. → Electricity production with more % of fossil fuels technologies and renewable ones. → Comparison between extreme charging profiles, peak and off-peak, in charging cost.

  15. Distributed energy storage systems on the basis of electric-vehicle fleets

    Science.gov (United States)

    Zhuk, A. Z.; Buzoverov, E. A.; Sheindlin, A. E.

    2015-01-01

    Several power technologies directed to solving the problem of covering nonuniform loads in power systems are developed at the Joint Institute of High Temperatures, Russian Academy of Sciences (JIHT RAS). One direction of investigations is the use of storage batteries of electric vehicles to compensate load peaks in the power system (V2G—vehicle-to-grid technology). The efficiency of energy storage systems based on electric vehicles with traditional energy-saving technologies is compared in the article by means of performing computations. The comparison is performed by the minimum-cost criterion for the peak energy supply to the system. Computations show that the distributed storage systems based on fleets of electric cars are efficient economically with their usage regime to 1 h/day. In contrast to traditional methods, the prime cost of regulation of the loads in the power system based on V2G technology is independent of the duration of the load compensation period (the duration of the consumption peak).

  16. Microscopic Driving Parameters-Based Energy-Saving Effect Analysis under Different Electric Vehicle Penetration

    Directory of Open Access Journals (Sweden)

    Enjian Yao

    2013-01-01

    Full Text Available Due to the rapid motorization over the recent years, China's transportation sector has been facing an increasing environmental pressure. Compared with gasoline vehicle (GV, electric vehicle (EV is expected to play an important role in the mitigation of CO2 and other pollution emissions, and urban air quality improvement, for its zero emission during use and higher energy efficiency. This paper aims to estimate the energy saving efficiency of EV, especially under different EV penetration and road traffic conditions. First, based on the emission and electricity consumption data collected by a light-duty EV and a light duty GV, a set of electricity consumption rate models and gasoline consumption rate models are established. Then, according to the conversion formula of coal equivalent, these models are transformed into coal equivalent consumption models, which make gasoline consumption and electricity consumption comparable. Finally, the relationship between the EV penetration and the reduction of energy consumption is explored based on the simulation undertaken on the North Second Ring Road in Beijing. The results show that the coal equivalent consumption will decrease by about 5% with the increases of EV penetration by 10% and the maximum energy-saving effect can be achieved when the traffic volume is about 4000 pcu/h.

  17. Stochastic scheduling of aggregators of plug-in electric vehicles for participation in energy and ancillary service markets

    International Nuclear Information System (INIS)

    Alipour, Manijeh; Mohammadi-Ivatloo, Behnam; Moradi-Dalvand, Mohammad; Zare, Kazem

    2017-01-01

    Plug-in electric vehicles are expected to play a major role in the transportation system as the environmental problems and energy crisis are being more and more urgent recently. Implementing a large number of vehicles with proper control could bring an opportunity of large storage and flexibility for power systems. The plug-in electric vehicle aggregator is responsible for providing power and controlling the charging pattern of the plug-in electric vehicles under its contracted area. This paper deals with the problem of optimal scheduling problem of plug-in electric vehicle aggregators in electricity market considering the uncertainties of market prices, availability of vehicles and status of being called by the ISO in the reserve market. The impact of the market price and reserve market uncertainties on the electric vehicle scheduling problem is characterized through a stochastic programming framework. The objective of the aggregator is to maximize its profit by charging the plug-in electric vehicles on the low price time intervals as well as participating in ancillary service markets. The operational constraints of plug-in electric vehicles and constraints of vehicle to grid are modeled in the proposed framework. An illustrative example is provided to confirm the performance of the proposed model. - Highlights: • Optimal scheduling of vehicle aggregators in electricity market has been addressed. • The operational constraints of plug-in vehicle to grid are considered. • The uncertainties of calling status in reserve market and market prices are modeled. • Vehicles' driving patterns and availability uncertainty are modeled. • The effect of risk measure weight in the vehicle to grid model has been studied.

  18. Modelling the Effect of Driving Events on Electrical Vehicle Energy Consumption Using Inertial Sensors in Smartphones

    Directory of Open Access Journals (Sweden)

    David Jiménez

    2018-02-01

    Full Text Available Air pollution and climate change are some of the main problems that humankind is currently facing. The electrification of the transport sector will help to reduce these problems, but one of the major barriers for the massive adoption of electric vehicles is their limited range. The energy consumption in these vehicles is affected, among other variables, by the driving behavior, making range a value that must be personalized to each driver and each type of electric vehicle. In this paper we offer a way to estimate a personalized energy consumption model by the use of the vehicle dynamics and the driving events detected by the use of the smartphone inertial sensors, allowing an easy and non-intrusive manner to predict the correct range for each user. This paper proposes, for the classification of events, a deep neural network (Long-Short Time Memory which has been trained with more than 22,000 car trips, and the application to improve the consumption model taking into account the driver behavior captured across different trips, allowing a personalized prediction. Results and validation in real cases show that errors in the predicted consumption values are halved when abrupt events are considered in the model.

  19. Energy Management Strategy for Hybrid Electric Vehicle Based on Driving Condition Identification Using KGA-Means

    Directory of Open Access Journals (Sweden)

    Shuxian Li

    2018-06-01

    Full Text Available In order to solve the problem related to adaptive energy management strategies based on driving condition identification being difficult to be applied to a real hybrid electric vehicle (HEV controller, this paper proposes an energy management strategy by combining the driving condition identification algorithm based on genetic optimized K-means clustering algorithm (KGA-means, and the equivalent consumption minimization strategy (ECMS. The simulation results show that compared with ECMS, the energy management strategy proposed in this article drives the engine working point closer to the best efficiency curve, and smooths out the state of charge (SOC change and better maintains the SOC in a highly efficient area. As a result, the vehicle fuel consumption reduces by 6.84%.

  20. Energy Management Strategy for Micro-Grids with PV-Battery Systems and Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Jose Luis Torres-Moreno

    2018-02-01

    Full Text Available This paper analyzes the impact of photovoltaic (PV systems on storage and electric vehicles in micro-grids. As these kinds of systems are becoming increasingly popular in the residential sector, the development of a new generation of equipment, such as more efficient batteries or solar panels, makes further study necessary. These systems are especially interesting in commercial or office buildings, since they have a more repetitive daily pattern of electricity consumption, which usually occurs within the maximum solar radiation hours. Based on this need, a novel control strategy aimed at efficiently managing this kind of micro-grid is proposed. The core of this strategy is a rule-based controller managing the power flows between the grid and the batteries of both the PV system and the electric vehicle. Through experimental data and simulations, this strategy was tested under different scenarios. The selected testbed consisted of the laboratory of a research center, which could be easily scalable to the entire building. Results showed the benefits of using an electric vehicle as an active agent in energy balance, leading to a reduction of the energetic costs of a micro-grid.

  1. Energy recapture through deceleration - regenerative braking in electric vehicles from a user perspective.

    Science.gov (United States)

    Cocron, Peter; Bühler, Franziska; Franke, Thomas; Neumann, Isabel; Dielmann, Benno; Krems, Josef F

    2013-01-01

    We report results from a 1-year field study (N = 80) on user interactions with regenerative braking in electric vehicles. Designed to recapture energy in vehicles with electric powertrains, regenerative braking has an important influence on both the task of driving and energy consumption. Results from user assessments and data from onboard data loggers indicate that most drivers quickly learned to interact with the system, which was triggered via accelerator. Further, conventional braking manoeuvres decreased significantly as the majority of deceleration episodes could only be executed through regenerative braking. Still, some drivers reported difficulties when adapting to the system. These difficulties could be addressed by offering different levels of regeneration so that the intensity of the deceleration could be individually modified. In general, the system is trusted and regarded as a valuable tool for prolonging range. Regenerative braking in electric vehicles has direct implications for the driving task. We found that drivers quickly learn to use and accept a system, which is triggered via accelerator. For those reporting difficulties in the interaction, it appears reasonable to integrate options to customise or switch off the system.

  2. Energy, Environmental and Economic Performance of a Micro-trigeneration System upon Varying the Electric Vehicle Charging Profiles

    Directory of Open Access Journals (Sweden)

    Sergio Sibilio

    2017-09-01

    Full Text Available The widespread adoption of electric vehicles and electric heat pumps would result in radically different household electrical demand characteristics, while also possibly posing a threat to the stability of the electrical grid. In this paper, a micro-trigeneration system (composed of a 6.0 kWel cogeneration device feeding a 4.5 kWcool electric air-cooled vapor compression water chiller serving an Italian residential multi-family house was investigated by using the dynamic simulation software TRNSYS. The charging of an electric vehicle was considered by analyzing a set of seven electric vehicle charging profiles representing different scenarios. The simulations were performed in order to evaluate the capability of micro-cogeneration technology in: alleviating the impact on the electric infrastructure (a; saving primary energy (b; reducing the carbon dioxide equivalent emissions (c and determining the operating costs in comparison to a conventional supply system based on separate energy production (d.

  3. Distributed Cooperative Control of Multi Flywheel Energy Storage System for Electrical Vehicle Fast Charging Stations

    DEFF Research Database (Denmark)

    Sun, Bo; Dragicevic, Tomislav; Quintero, Juan Carlos Vasquez

    2015-01-01

    Plug-in electrical vehicles will play a critical role in future smart grid and sudden connection of electrical vehicles chargers may cause huge power-peaks with high slew-rates on grid. In order to cope with this issue, this paper applies a distributed cooperative control for fast charging station...... with dedicated paralleled flywheel-based energy storage system. The distributed DC-bus signaling method is employed in the power coordination of grid and flywheel converters, and a distributed secondary controller generates DC voltage correction term to adjust the local voltage set-point through a dynamic...... consensus based voltage observer by communicating with its neighbors. The control system can realize the power balancing and DC voltage regulation with low reliance on communications. Finally, real-time hardware-in-the-loop results have been reported in order to verify the feasibility of proposed approach....

  4. Control of Electric Vehicle

    OpenAIRE

    Huang, Qi; Chen, Yong; Li, Jian

    2010-01-01

    In this chapter, the modeling of electric vehicle is discussed in detail. Then, the control of electric vehicle driven by different motors is discussed. Both brushed and brushless DC (Direct Current) motors are discussed. And for AC (Alternative Current) motors, the discussion is focused on induction motor and permanent magnet synchronous motor. The design of controllers for different motor-driven electric vehicle is discussed in-depth, and the tested high-performance control strategies for d...

  5. Energy conversion phenomena in plug-in hybrid-electric vehicles

    International Nuclear Information System (INIS)

    Katrasnik, Tomaz

    2011-01-01

    Research highlights: → Energy conversion phenomena of PHEVs for different drive cycles and depletion rates of energy sources. → Detailed physically based framework for analyzing energy conversion phenomena in PHEVs. → Interaction of energy flows and energy losses with energy consumption of the PHEV. → Identification and explanation of mechanisms leading to optimal tank-to-wheel efficiency. → Analysis of well-to-wheel efficiencies for different realistic well-to-tank scenarios. -- Abstract: Energy flows and energy conversion efficiencies of commercial plug-in hybrid-electric vehicles (PHEV) are analyzed for parallel and series PHEV topologies. The analysis is performed by a combined analytical and simulation approach. Combined approach enables evaluation of energy losses on different energy paths and provides their impact on the energy consumption of the PHEV. Thereby the paper reveals energy conversion phenomena of different PHEV topologies operating according to charge depleting and charge sustaining modes as well as according to different test cycles. It is shown in the paper that amount of the energy depleted from both on-board energy sources is significantly influenced by the efficiencies of energy conversion chains from on-board energy sources to the wheels. It is also shown that energy used to power the PHEV according to particular test cycles varies based on its operating mode, which influences energy flows on different energy paths within the PHEVs and consequently overall energy consumed by the PHEV. The paper additionally discusses well-to-wheel efficiencies considering different realistic well-to-tank scenarios. It is shown that well-to-tank efficiency of electric energy generation significantly influences optimal operating mode of the PHEV if consumption of primary energy sources is considered.

  6. Electric vehicle propulsion alternatives

    Science.gov (United States)

    Secunde, R. R.; Schuh, R. M.; Beach, R. F.

    1983-01-01

    Propulsion technology development for electric vehicles is summarized. Analytical studies, technology evaluation, and the development of technology for motors, controllers, transmissions, and complete propulsion systems are included.

  7. Charging electric vehicles from solar energy : Power converter, charging algorithm and system design

    NARCIS (Netherlands)

    Chandra Mouli, G.R.

    2018-01-01

    Electric vehicles are only sustainable if the electricity used to charge them comes from renewable sources and not from fossil fuel based power plants. The goal of this PhD thesis is to develop a highly efficient, V2G-enabled smart charging system for electric vehicles at

  8. Assessing the Energy Content of System Frequency and Electric Vehicle Charging Efficiency for Ancillary Service Provision

    DEFF Research Database (Denmark)

    Thingvad, Andreas; Ziras, Charalampos; Hu, Junjie

    2017-01-01

    The purpose of this paper is to quantify the effect of biased system frequency deviations and charger losses in order for an aggregation of electric vehicles (EVs) to provide reliable primary frequency control (PFC). A data set consisting of one year of frequency measurements of the Nordic....... Additionally, a method for calculating the expected energy loss caused by continuous charging and discharging is presented together with efficiency measurements of a commercial bidirectional EV charger. It is found that during a year, the energy balance of the service provider, relative to the grid, is within...

  9. Average Behavior of Battery - Electric Vehicles for Distributed Energy System Studies

    DEFF Research Database (Denmark)

    Marra, Francesco; Træholt, Chresten; Larsen, Esben

    2010-01-01

    The increase of focus on electric vehicles (EVs) as distributed energy resources calls for new concepts of aggregated models of batteries. Despite the developed battery models for EVs applications, when looking at energy storage scenarios using EVs, both geographical-temporal aspects and battery...... conditions. The obtained results show that EV fleets are non-linear time-variant systems which however can be described with good approximation taking into account a number of variables such as number of cycles, temperature, depth-of-discharge and current rates....

  10. Simulated Annealing Approach Applied to the Energy Resource Management Considering Demand Response for Electric Vehicles

    DEFF Research Database (Denmark)

    Sousa, Tiago; Vale, Zita; Morais, Hugo

    2013-01-01

    The aggregation and management of Distributed Energy Resources (DERs) by an Virtual Power Players (VPP) is an important task in a smart grid context. The Energy Resource Management (ERM) of theses DERs can become a hard and complex optimization problem. The large integration of several DERs......, including Electric Vehicles (EVs), may lead to a scenario in which the VPP needs several hours to have a solution for the ERM problem. This is the reason why it is necessary to use metaheuristic methodologies to come up with a good solution with a reasonable amount of time. The presented paper proposes...

  11. An Online Energy Management Control for Hybrid Electric Vehicles Based on Neuro-Dynamic Programming

    Directory of Open Access Journals (Sweden)

    Feiyan Qin

    2018-03-01

    Full Text Available Hybrid electric vehicles are a compromise between traditional vehicles and pure electric vehicles and can be part of the solution to the energy shortage problem. Energy management strategies (EMSs are highly related to energy utilization in HEVs’ fuel economy. In this research, we have employed a neuro-dynamic programming (NDP method to simultaneously optimize fuel economy and battery state of charge (SOC. In this NDP method, the critic network is a multi-resolution wavelet neural network based on the Meyer wavelet function, and the action network is a conventional wavelet neural network based on the Morlet function. The weights and parameters of both networks are obtained by an algorithm of backpropagation type. The NDP-based EMS has been applied to a parallel HEV and compared with a previously reported NDP EMS and a stochastic dynamic programing-based method. Simulation results under ADVISOR2002 have shown that the proposed NDP approach achieves better performance than both the methods. These indicate that the proposed NDP EMS, and the CWNN and MRWNN, are effective in approximating a nonlinear system.

  12. Analytical framework for analyzing the energy conversion efficiency of different hybrid electric vehicle topologies

    International Nuclear Information System (INIS)

    Katrasnik, Tomaz

    2009-01-01

    Energy consumption and exhaust emissions of hybrid electric vehicles (HEVs) strongly depend on the HEV topology, power ratios of the components and applied control strategy. There are many available patterns of combining the power flows to meet load requirements making it difficult to analyze and evaluate a newly designed HEV. In order to enhance design of HEVs, the paper provides a stand alone analytical framework for evaluating energy conversion phenomena of different HEV topologies. Analytical analysis is based on the energy balance equations and considers the complete energy path in the HEVs from the energy sources to the wheels and to other energy sinks. The analytical framework enables structuring large amount of data in physically meaningful energy flows and associated energy losses, and therefore provides insightful information for HEV optimization. It therefore enables identification of most suitable HEV topology and of most suitable power ratios of the components, since it reveals and quantifies the instruments that could lead to improved energy conversion efficiency of particular HEV. The analytical framework is also applicable for correcting the energy consumption of the HEV to the value corresponding to balanced energy content of the electric storage devices.

  13. Integration and Validation of a Thermal Energy Storage System for Electric Vehicle Cabin Heating

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Mingyu [MAHLE Behr Troy Inc.; Craig, Timothy [MAHLE Behr Troy Inc.; Wolfe, Edward [MAHLE Behr Troy Inc.; LaClair, Tim J. [ORNL; Gao, Zhiming [ORNL; Levin, Michael [Ford Motor Company; Demitroff, Danrich [Ford Motor Company; Shaikh, Furqan [Ford Motor Company

    2017-03-01

    It is widely recognized in the automotive industry that, in very cold climatic conditions, the driving range of an Electric Vehicle (EV) can be reduced by 50% or more. In an effort to minimize the EV range penalty, a novel thermal energy storage system has been designed to provide cabin heating in EVs and Plug-in Hybrid Electric Vehicles (PHEVs) by using an advanced phase change material (PCM). This system is known as the Electrical PCM-based Thermal Heating System (ePATHS) [1, 2]. When the EV is connected to the electric grid to charge its traction battery, the ePATHS system is also “charged” with thermal energy. The stored heat is subsequently deployed for cabin comfort heating during driving, for example during commuting to and from work.The ePATHS system, especially the PCM heat exchanger component, has gone through substantial redesign in order to meet functionality and commercialization requirements. The final system development for EV implementation has occurred on a mid-range EV and has been evaluated for its capability to extend the driving range. Both simulated driving in a climatic tunnel and actual road testing have been carried out. The ePATHS has demonstrated its ability to supply the entire cabin heating needs for a round trip commute totaling 46 minutes, including 8 hours of parking, at an ambient temperature of -10°C.

  14. Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules

    Energy Technology Data Exchange (ETDEWEB)

    Cardoso, Goncalo [Technical Univ. of Lisbon (Portugal); Stadler, Michael [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Center for Energy and Innovation Technologies (Austria); Bozchalui, Mohammed C. [NEC Laboratories American Inc., Irving, TX (United States); Sharma, Ratnesh [NEC Laboratories American Inc., Irving, TX (United States); Marnay, Chris [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Barbosa-Povoa, Ana [Technical Univ. of Lisbon (Portugal); Ferrao, Paulo [Technical Univ. of Lisbon (Portugal)

    2013-12-06

    The large scale penetration of electric vehicles (EVs) will introduce technical challenges to the distribution grid, but also carries the potential for vehicle-to-grid services. Namely, if available in large enough numbers, EVs can be used as a distributed energy resource (DER) and their presence can influence optimal DER investment and scheduling decisions in microgrids. In this work, a novel EV fleet aggregator model is introduced in a stochastic formulation of DER-CAM [1], an optimization tool used to address DER investment and scheduling problems. This is used to assess the impact of EV interconnections on optimal DER solutions considering uncertainty in EV driving schedules. Optimization results indicate that EVs can have a significant impact on DER investments, particularly if considering short payback periods. Furthermore, results suggest that uncertainty in driving schedules carries little significance to total energy costs, which is corroborated by results obtained using the stochastic formulation of the problem.

  15. Energy Consumption Prediction for Electric Vehicles Based on Real-World Data

    Directory of Open Access Journals (Sweden)

    Cedric De Cauwer

    2015-08-01

    Full Text Available Electric vehicle (EV energy consumption is variable and dependent on a number of external factors such as road topology, traffic, driving style, ambient temperature, etc. The goal of this paper is to detect and quantify correlations between the kinematic parameters of the vehicle and its energy consumption. Real-world data of EV energy consumption are used to construct the energy consumption calculation models. Based on the vehicle dynamics equation as underlying physical model, multiple linear regression is used to construct three models. Each model uses a different level of aggregation of the input parameters, allowing predictions using different types of available input parameters. One model uses aggregated values of the kinematic parameters of trips. This model allows prediction with basic, easily available input parameters such as travel distance, travel time, and temperature. The second model extends this by including detailed acceleration data. The third model uses the raw data of the kinematic parameters as input parameters to predict the energy consumption. Using detailed values of kinematic parameters for the prediction in theory increases the link between the statistical model and its underlying physical principles, but requires these parameters to be available as input in order to make predictions. The first two models show similar results. The third model shows a worse fit than the first two, but has a similar accuracy. This model has great potential for future improvement.

  16. Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array

    Science.gov (United States)

    Wu, Xiaohua; Hu, Xiaosong; Moura, Scott; Yin, Xiaofeng; Pickert, Volker

    2016-11-01

    Energy management strategies are instrumental in the performance and economy of smart homes integrating renewable energy and energy storage. This article focuses on stochastic energy management of a smart home with PEV (plug-in electric vehicle) energy storage and photovoltaic (PV) array. It is motivated by the challenges associated with sustainable energy supplies and the local energy storage opportunity provided by vehicle electrification. This paper seeks to minimize a consumer's energy charges under a time-of-use tariff, while satisfying home power demand and PEV charging requirements, and accommodating the variability of solar power. First, the random-variable models are developed, including Markov Chain model of PEV mobility, as well as predictive models of home power demand and PV power supply. Second, a stochastic optimal control problem is mathematically formulated for managing the power flow among energy sources in the smart home. Finally, based on time-varying electricity price, we systematically examine the performance of the proposed control strategy. As a result, the electric cost is 493.6% less for a Tesla Model S with optimal stochastic dynamic programming (SDP) control relative to the no optimal control case, and it is by 175.89% for a Nissan Leaf.

  17. Distributed energy resources management using plug-in hybrid electric vehicles as a fuel-shifting demand response resource

    International Nuclear Information System (INIS)

    Morais, H.; Sousa, T.; Soares, J.; Faria, P.; Vale, Z.

    2015-01-01

    Highlights: • Definition fuel shifting demand response programs applied to the electric vehicles. • Integration of the proposed fuel shifting in energy resource management algorithm. • Analysis of fuel shifting contribution to support the consumption increasing. • Analysis of fuel shifting contribution to support the electric vehicles growing. • Sensitivity analysis considering different electric vehicles penetration levels. - Abstract: In the smart grids context, distributed energy resources management plays an important role in the power systems’ operation. Battery electric vehicles and plug-in hybrid electric vehicles should be important resources in the future distribution networks operation. Therefore, it is important to develop adequate methodologies to schedule the electric vehicles’ charge and discharge processes, avoiding network congestions and providing ancillary services. This paper proposes the participation of plug-in hybrid electric vehicles in fuel shifting demand response programs. Two services are proposed, namely the fuel shifting and the fuel discharging. The fuel shifting program consists in replacing the electric energy by fossil fuels in plug-in hybrid electric vehicles daily trips, and the fuel discharge program consists in use of their internal combustion engine to generate electricity injecting into the network. These programs are included in an energy resources management algorithm which integrates the management of other resources. The paper presents a case study considering a 37-bus distribution network with 25 distributed generators, 1908 consumers, and 2430 plug-in vehicles. Two scenarios are tested, namely a scenario with high photovoltaic generation, and a scenario without photovoltaic generation. A sensitivity analyses is performed in order to evaluate when each energy resource is required

  18. Energy Management and Control of Electric Vehicles, Using Hybrid Power Source in Regenerative Braking Operation

    Directory of Open Access Journals (Sweden)

    Bo Long

    2014-07-01

    Full Text Available Today’s battery powered electric vehicles still face many issues: (1 Ways of improving the regenerative braking energy; (2 how to maximally extend the driving-range of electric vehicles (EVs and prolong the service life of batteries; (3 how to satisfy the energy requirements of the EVs both in steady and dynamic state. The electrochemical double-layer capacitors, also called ultra-capacitors (UCs, have the merits of high energy density and instantaneous power output capability, and are usually combined with power battery packs to form a hybrid power supply system (HPSS. The power circuit topology of the HPSS has been illustrated in this paper. In the proposed HPSS, all the UCs are in series, which may cause an imbalanced voltage distribution of each unit, moreover, the energy allocation between the batteries and UCs should also be considered. An energy-management scheme to solve this problem has been presented. Moreover, due to the parameter variations caused by temperature changes and produced errors, the modelling procedure of the HPSS becomes very difficult, so an H∞ current controller is presented. The proposed hybrid power source circuit is implemented on a laboratory hardware setup using a digital signal processor (DSP. Simulation and experimental results have been put forward to demonstrate the feasibility and validity of the approach.

  19. Lower-Energy Energy Storage System (LEESS) Evaluation in a Full-Hybrid Electric Vehicle (HEV) (Presentation)

    Energy Technology Data Exchange (ETDEWEB)

    Cosgrove, J.; Gonder, J.; Pesaran, A.

    2013-11-01

    The cost of hybrid electric vehicles (HEVs) (e.g., Toyota Prius or Ford Fusion Hybrid) remains several thousand dollars higher than the cost of comparable conventional vehicles, which has limited HEV market penetration. The battery energy storage device is typically the component with the greatest contribution toward this cost increment, so significant cost reductions/performance improvements to the energy storage system (ESS) can improve the vehicle-level cost-benefit relationship, which would in turn lead to larger HEV market penetration and greater aggregate fuel savings. The National Renewable Energy Laboratory (NREL) collaborated with a United States Advanced Battery Consortium (USABC) Workgroup to analyze trade-offs between vehicle fuel economy and reducing the minimum energy requirement for power-assist HEVs. NREL's analysis showed that significant fuel savings could still be delivered from an ESS with much lower energy storage than previous targets, which prompted the United States Advanced Battery Consortium (USABC) to issue a new set of lower-energy ESS (LEESS) targets that could be satisfied by a variety of technologies, including high-power batteries or ultracapacitors. NREL has developed an HEV test platform for in-vehicle performance and fuel economy validation testing of the hybrid system using such LEESS devices. This presentation describes development of the vehicle test platform and in-vehicle evaluation results using a lithium-ion capacitor ESS-an asymmetric electrochemical energy storage device possessing one electrode with battery-type characteristics (lithiated graphite) and one with ultracapacitor-type characteristics (carbon). Further efforts include testing other ultracapacitor technologies in the HEV test platform.

  20. Perspectives for Electric Vehicles in Denmark

    DEFF Research Database (Denmark)

    Horstmann, Jørgen; Jørgensen, Kaj

    1997-01-01

    Review of the present knowledge on electric vehicles and analysis of the energy and environmental consequences of the introduction of electric vehicles in Denmark. The report focuses on the 10-15 year time perspective.......Review of the present knowledge on electric vehicles and analysis of the energy and environmental consequences of the introduction of electric vehicles in Denmark. The report focuses on the 10-15 year time perspective....

  1. Deploying Electric Vehicles and Electric Vehicle Supply Equipment: Tiger Teams Offer Project Assistance for Federal Fleets

    Energy Technology Data Exchange (ETDEWEB)

    None

    2017-01-02

    To assist federal agencies with the transition to plug-in electric vehicles (PEVs), including battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs), FEMP offers technical guidance on electric vehicle supply equipment (EVSE) installations and site-specific planning through partnerships with the National Renewable Energy Laboratory’s EVSE Tiger Teams.

  2. Electric Vehicle Battery Challenge

    Science.gov (United States)

    Roman, Harry T.

    2014-01-01

    A serious drawback to electric vehicles [batteries only] is the idle time needed to recharge their batteries. In this challenge, students can develop ideas and concepts for battery change-out at automotive service stations. Such a capability would extend the range of electric vehicles.

  3. Energy and Environmental Implications of Hybrid and Electric Vehicles in China

    Directory of Open Access Journals (Sweden)

    Haiyan Wang

    2013-05-01

    Full Text Available The promotion of hybrid and electric vehicles (EVs has been proposed as one promising solution for reducing transport energy consumption and mitigating vehicular emissions in China. In this study, the energy and environmental impacts of hybrid and EVs during 2010–2020 were evaluated through an energy conversion analysis and a life cycle assessment (LCA, and the per-kilometer energy consumptions of gasoline, coal, natural gas (NG, oil, biomass, garbage and electricity for EVs and HEVs were estimated. Results show that the EVs and HEVs can reduce the energy consumption of vehicles by national average ratios of 17%–19% and 30%–33%, respectively. The study also calculated the detailed emission factors of SO2, NOX, VOC, CO, NH3, PM10, PM2.5, OC, EC, CO2, N2O, CH4, Pb and Hg. It is indicated that the HEVs can bring significant reductions of NOX, VOC and CO emissions and lesser decreases of SO2 and CO2 for a single vehicle. The EVs could decrease many of the VOC, NH3, CO and CO2 emissions, but increase the SO2, NOX and particles by 10.8–13.0, 2.7–2.9 and 3.6–11.5 times, respectively. In addition, the electricity sources had significant influence on energy consumption (EC and emissions. A high proportion of coal-fired energy resulted in large ECs and emission factors. The total energy consumption and pollutants emission changes in 2015 and 2020 were also calculated. Based on the energy use and emission analysis of HEVs and EVs, it is suggested that EVs should be promoted in the regions with higher proportions of hydropower, natural gas-fired power and clean energy power, while HEVs can be widely adopted in the regions with high coal-fired power ratios. This is to achieve a higher energy consumption reduction and pollutant emission mitigation. Moreover, the results can also provide scientific support for the total amount control of regional air pollutants in China.

  4. The potential of electric vehicles

    International Nuclear Information System (INIS)

    2016-04-01

    Electric vehicles can help reduce the dependence of road transport on imported oil, cut the country's energy bill, reduce greenhouse gas emissions, improve air quality in cities through zero exhaust emissions and reduce noise pollution. The economic costs and environmental impacts of electric vehicles are mostly concentrated at the manufacturing stage, whereas the costs and impacts of internal combustion vehicles are predominantly felt during usage. So we cannot simply compare vehicles as objects, we must see how they are used, which means taking a fresh look at the full potential of electric vehicles which must be used intensely to be economically and environmentally viable. The main advantage of internal combustion vehicles is their ability to carry a very large amount of energy giving them a very large range and significant versatility. However, the consequences of the use of fossil fuels on the climate and the environment today require us to look for other solutions for vehicles and mobility systems. Electric vehicles are among these: its lack of versatility, due to its still limited range, is offset by being more adaptable and optimised for the usage sought. Electric vehicles are particularly suitable for new mobility services offerings and allow the transition to new ways of travelling to be speeded up optimising the use of the vehicle and no longer requiring ownership of it. The use of digital, facilitated by the electrical engine, opens up numerous opportunities for innovations and new services (such as the autonomous vehicle for example). In addition, electric vehicles can do more than just transport. Their batteries provide useful energy storage capabilities that can help regulate the power grid and the development of renewable energy. The marketing of electric vehicles may be accompanied by energy services that can be economically viable and used to structure the electro-mobility offer in return. To minimise the impact on the electrical grid, it is

  5. Convex Optimization for the Energy Management of Hybrid Electric Vehicles Considering Engine Start and Gearshift Costs

    Directory of Open Access Journals (Sweden)

    Tobias Nüesch

    2014-02-01

    Full Text Available This paper presents a novel method to solve the energy management problem for hybrid electric vehicles (HEVs with engine start and gearshift costs. The method is based on a combination of deterministic dynamic programming (DP and convex optimization. As demonstrated in a case study, the method yields globally optimal results while returning the solution in much less time than the conventional DP method. In addition, the proposed method handles state constraints, which allows for the application to scenarios where the battery state of charge (SOC reaches its boundaries.

  6. Day-Ahead Energy Planning with 100% Electric Vehicle Penetration in the Nordic Region by 2050

    Directory of Open Access Journals (Sweden)

    Zhaoxi Liu

    2014-03-01

    Full Text Available This paper presents the day-ahead energy planning of passenger cars with 100% electric vehicle (EV penetration in the Nordic region by 2050. EVs will play an important role in the future energy systems which can both reduce the greenhouse gas (GHG emissions from the transport sector and provide the demand side flexibility required by smart grids. On the other hand, the EVs will increase the electricity consumption. In order to quantify the electricity consumption increase due to the 100% EV penetration in the Nordic region to facilitate the power system planning studies, the day-ahead energy planning of EVs has been investigated with different EV charging scenarios. Five EV charging scenarios have been considered in the energy planning analysis which are: uncontrolled charging all day, uncontrolled charging at home, timed charging, spot price based charging all day and spot price based charging at home. The demand profiles of the five charging analysis show that timed charging is the least favorable charging option and the spot priced based EV charging might induce high peak demands. The EV charging demand will have a considerable share of the energy consumption in the future Nordic power system.

  7. Energy reduction potential from the shift to electric vehicles: The Flores island case study

    International Nuclear Information System (INIS)

    Pina, André; Baptista, Patrícia; Silva, Carlos; Ferrão, Paulo

    2014-01-01

    The increase of fossil fuel demand raises concerns on availability of resources for future energy demand and on potential environmental impacts. Electric vehicles (EVs) appear as one alternative to shift from fossil fuels to renewable energy resources. This research work analyzes the benefits of the introduction of EVs in a small energy system, the Flores island, Azores, in terms of primary energy and CO 2 emissions. Four scenarios were designed considering different penetration rates of EVs (Low and High) and different time of recharging strategies (Fixed and Flexible). The high shares of RES in the electricity production system (60–62%) did not guarantee a significant use of RES for the recharging of EVs (10–40%), as the additional electricity required had to be produced mainly from the diesel generators. The flexible recharging strategies allowed doubling the share of RES in the recharging of the EVs when compared to fixed recharging, and consequently double the impact on the reduction of primary energy consumption and fossil fuels imports. While the reduction of primary energy ranged between 0.2% and 1.1%, for CO 2 emissions there was a decrease between 0.3 and 1.7%, proving that EVs can help improve the sustainability of energy systems. - highlights: • High shares of RES in electricity do not guarantee a low energy use by EVs. • The introduction of EVs can help reduce CO 2 emissions by 11% in 2030. • Flexible time of recharging strategies allows a 2.5 times higher share of RES

  8. Energy harvesting water vehicle

    KAUST Repository

    Singh, Devendra

    2018-01-04

    An efficient energy harvesting (EEH) water vehicle is disclosed. The base of the EEH water vehicle is fabricated with rolling cylindrical drums that can rotate freely in the same direction of the water medium. The drums reduce the drag at the vehicle-water interface. This reduction in drag corresponds to an increase in speed and/or greater fuel efficiency. The mechanical energy of the rolling cylindrical drums is also transformed into electrical energy using an electricity producing device, such as a dynamo or an alternator. Thus, the efficiency of the vehicle is enhanced in two parallel modes: from the reduction in drag at the vehicle-water interface, and from capturing power from the rotational motion of the drums.

  9. Reactive Power Support of Electrical Vehicle Charging Station Upgraded with Flywheel Energy Storage System

    DEFF Research Database (Denmark)

    SUN, BO; Dragicevic, Tomislav; Savaghebi, Mehdi

    2015-01-01

    Electrical vehicles (EVs) are presenting increasingly potential to replace the conventional fossil fuel based vehicles due to environmental friendly characteristic. Accordingly, Charging Stations (CS), as an intermediate between grid and large numbers of EVs, are supposed to have more critical...... influence on future smart transportation network. This paper explores an off-board charging station upgraded with flywheel energy storage system that could provide a reactive power support to the grid utility. A supervisory control scheme based on distributed bus signaling is proposed to coordinate...... the operation of each component in the system. As a result, the charging station could supply the reactive power support to the utility grid without compromising the charging algorithm and preserve the battery’s lifetime. Finally, the real-time simulation results based on dSPACE1006 verifies the proposed...

  10. Optimization of Key Parameters of Energy Management Strategy for Hybrid Electric Vehicle Using DIRECT Algorithm

    Directory of Open Access Journals (Sweden)

    Jingxian Hao

    2016-11-01

    Full Text Available The rule-based logic threshold control strategy has been frequently used in energy management strategies for hybrid electric vehicles (HEVs owing to its convenience in adjusting parameters, real-time performance, stability, and robustness. However, the logic threshold control parameters cannot usually ensure the best vehicle performance at different driving cycles and conditions. For this reason, the optimization of key parameters is important to improve the fuel economy, dynamic performance, and drivability. In principle, this is a multiparameter nonlinear optimization problem. The logic threshold energy management strategy for an all-wheel-drive HEV is comprehensively analyzed and developed in this study. Seven key parameters to be optimized are extracted. The optimization model of key parameters is proposed from the perspective of fuel economy. The global optimization method, DIRECT algorithm, which has good real-time performance, low computational burden, rapid convergence, is selected to optimize the extracted key parameters globally. The results show that with the optimized parameters, the engine operates more at the high efficiency range resulting into a fuel savings of 7% compared with non-optimized parameters. The proposed method can provide guidance for calibrating the parameters of the vehicle energy management strategy from the perspective of fuel economy.

  11. New evaluation methodology of regenerative braking contribution to energy efficiency improvement of electric vehicles

    International Nuclear Information System (INIS)

    Qiu, Chengqun; Wang, Guolin

    2016-01-01

    Highlights: • Two different contribution ratio evaluation parameters according to the deceleration braking process are proposed. • Methodologies for calculating the contribution made by regenerative brake to improve vehicle energy efficiency are proposed. • Road test results imply that the proposed parameters are effective. - Abstract: Comprehensive research is conducted on the design and control of a regenerative braking system for electric vehicles. The mechanism and evaluation methods of contribution brought by regenerative braking to improve electric vehicle’s energy efficiency are discussed and analyzed by the energy flow. Methodologies for calculating the contribution made by regenerative brake are proposed. Additionally a new regenerative braking control strategy called “serial 2 control strategy” is introduced. Moreover, two control strategies called “parallel control strategy” and “serial 1 control strategy” are proposed as the comparative control strategy. Furthermore, two different contribution ratio evaluation parameters according to the deceleration braking process are proposed. Finally, road tests are carried out under China typical city regenerative driving cycle standard with three different control strategies. The serial 2 control strategy offers considerably higher regeneration efficiency than the parallel strategy and serial 1 strategy.

  12. Finite Action-Set Learning Automata for Economic Dispatch Considering Electric Vehicles and Renewable Energy Sources

    Directory of Open Access Journals (Sweden)

    Junpeng Zhu

    2014-07-01

    Full Text Available The coming interaction between a growing electrified vehicle fleet and the desired growth in renewable energy provides new insights into the economic dispatch (ED problem. This paper presents an economic dispatch model that considers electric vehicle charging, battery exchange stations, and wind farms. This ED model is a high-dimensional, non-linear, and stochastic problem and its solution requires powerful methods. A new finite action-set learning automata (FALA-based approach that has the ability to adapt to a stochastic environment is proposed. The feasibility of the proposed approach is demonstrated in a modified IEEE 30 bus system. It is compared with continuous action-set learning automata and particle swarm optimization-based approaches in terms of convergence characteristics, computational efficiency, and solution quality. Simulation results show that the proposed FALA-based approach was indeed capable of more efficiently obtaining the approximately optimal solution. In addition, by using an optimal dispatch schedule for the interaction between electric vehicle stations and power systems, it is possible to reduce the gap between demand and power generation at different times of the day.

  13. Energy savings and increased electric vehicle range through improved battery thermal management

    International Nuclear Information System (INIS)

    Smith, Joshua; Hinterberger, Michael; Schneider, Christoph; Koehler, Juergen

    2016-01-01

    Lithium-ion cells are temperature sensitive: operation outside the optimal operating range causes premature aging and correspondingly reduces vehicle range and battery system lifetime. In order to meet consumer demands for electric and hybrid-electric vehicle performance, especially in adverse climates, a battery thermal management system (BTMS) is often required. This work presents a novel experimental method for analyzing BTMS using three sample cooling plate concepts. For each concept, the input parameters (ambient temperature, coolant temperature and coolant flow rate) are varied and the resulting effect on the average temperature and temperature distribution across and between cells is compared. Additionally, the pressure loss along the coolant path is utilized as an indicator of energy efficiency. Using the presented methodology, various cooling plate layouts optimized for production alternative techniques are compared to the state of the art. It is shown that these production-optimized cooling plates provide sufficient thermal performance with the additional benefit of mechanical integration within the battery and/or vehicle system. It is also shown that the coolant flow influences battery cell thermal behavior more than the solid material and that pressure drop is more sensitive to geometrical changes in the cooling plate than temperature changes at the module.

  14. Energy recovery storage systems in electrical vehicles with batteries; Tecnicas de armazenamiento de energia em veiculos electricos a baterias

    Energy Technology Data Exchange (ETDEWEB)

    Chaves, M.; Maia, J.; Foito, D.

    2004-07-01

    In this paper are presented three energy recovery storage systems that can be used in electrical vehicles with batteries. The first storage system uses ultra capacitors that is electrical energy storage, the second system is based on superconductivity magnetic storage, and the third system uses on kinetic energy stored in flywheels. It is also presented the power electronics needed to perform the energy systems. (Author)

  15. A Cost-Effective Electric Vehicle Charging Method Designed For Residential Homes with Renewable Energy

    Science.gov (United States)

    Lie, T. T.; Liang, Xiuli; Haque, M. H.

    2015-03-01

    Most of the electrical infrastructure in use around the world today is decades old, and may be illsuited to widespread proliferation of personal Electric Vehicles (EVs) whose charging requirements will place increasing strain on grid demand. In order to reduce the pressure on the grid and taking benefits of off peak charging, this paper presents a smart and cost effective EV charging methodology for residential homes equipped with renewable energy resources such as Photovoltaic (PV) panels and battery. The proposed method ensures slower battery degradation and prevents overcharging. The performance of the proposed algorithm is verified by conducting simulation studies utilizing running data of Nissan Altra. From the simulation study results, the algorithm is shown to be effective and feasible which minimizes not only the charging cost but also can shift the charging time from peak value to off-peak time.

  16. Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles

    Directory of Open Access Journals (Sweden)

    NICOLAICA, M.-O.

    2016-02-01

    Full Text Available The current paper presents a new virtual analysis method that is applied both on hybrid and electric vehicle architectures with the purpose of contributing to the improvement of energy efficiency. The study is based on Matlab modeling and simulation. A set of parameters are considered in order to assess the system performance. The benefit is given by the comparative overview obtained after the completed analysis. The effectiveness of the analysis method is confirmed by a sequence of simulation results combined in several case studies. The impulse of the research is given by the fact that the automotive market is focusing on wider simulation techniques and better control strategies that lead to more efficient vehicles. Applying the proposed method during design would improve the battery management and controls strategy. The advantage of this method is that the system behavior with regards to energy efficiency can be evaluated from an early concept phase. The results contribute to the actual necessity of driving more efficient and more environmental friendly vehicles.

  17. Energy Management Strategy for a Hybrid Electric Vehicle Based on Deep Reinforcement Learning

    Directory of Open Access Journals (Sweden)

    Yue Hu

    2018-01-01

    Full Text Available An energy management strategy (EMS is important for hybrid electric vehicles (HEVs since it plays a decisive role on the performance of the vehicle. However, the variation of future driving conditions deeply influences the effectiveness of the EMS. Most existing EMS methods simply follow predefined rules that are not adaptive to different driving conditions online. Therefore, it is useful that the EMS can learn from the environment or driving cycle. In this paper, a deep reinforcement learning (DRL-based EMS is designed such that it can learn to select actions directly from the states without any prediction or predefined rules. Furthermore, a DRL-based online learning architecture is presented. It is significant for applying the DRL algorithm in HEV energy management under different driving conditions. Simulation experiments have been conducted using MATLAB and Advanced Vehicle Simulator (ADVISOR co-simulation. Experimental results validate the effectiveness of the DRL-based EMS compared with the rule-based EMS in terms of fuel economy. The online learning architecture is also proved to be effective. The proposed method ensures the optimality, as well as real-time applicability, in HEVs.

  18. Energy Impacts of Wide Band Gap Semiconductors in U.S. Light-Duty Electric Vehicle Fleet.

    Science.gov (United States)

    Warren, Joshua A; Riddle, Matthew E; Graziano, Diane J; Das, Sujit; Upadhyayula, Venkata K K; Masanet, Eric; Cresko, Joe

    2015-09-01

    Silicon carbide and gallium nitride, two leading wide band gap semiconductors with significant potential in electric vehicle power electronics, are examined from a life cycle energy perspective and compared with incumbent silicon in U.S. light-duty electric vehicle fleet. Cradle-to-gate, silicon carbide is estimated to require more than twice the energy as silicon. However, the magnitude of vehicle use phase fuel savings potential is comparatively several orders of magnitude higher than the marginal increase in cradle-to-gate energy. Gallium nitride cradle-to-gate energy requirements are estimated to be similar to silicon, with use phase savings potential similar to or exceeding that of silicon carbide. Potential energy reductions in the United States vehicle fleet are examined through several scenarios that consider the market adoption potential of electric vehicles themselves, as well as the market adoption potential of wide band gap semiconductors in electric vehicles. For the 2015-2050 time frame, cumulative energy savings associated with the deployment of wide band gap semiconductors are estimated to range from 2-20 billion GJ depending on market adoption dynamics.

  19. Total energy cycle assessment of electric and conventional vehicles: an energy and environmental analysis. Volume 2: appendices A-D to technical report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

    This report compares the energy use, oil use and emissions of electric vehicles (EVs) with those of conventional, gasoline- powered vehicles (CVs) over the total life cycle of the vehicles. The various stages included in the vehicles` life cycles include vehicle manufacture, fuel production, and vehicle operation. Disposal is not included. An inventory of the air emissions associated with each stage of the life cycle is estimated. Water pollutants and solid wastes are reported for individual processes, but no comprehensive inventory is developed. Volume II contains additional details on the vehicle, utility, and materials analyses and discusses several details of the methodology.

  20. Wind power integration with heat pumps, heat storages, and electric vehicles - Energy systems analysis and modelling

    Energy Technology Data Exchange (ETDEWEB)

    Hedegaard, K.

    2013-09-15

    This PhD investigates to which extent heat pumps, heat storages, and electric vehicles can support the integration of wind power. Considering the gaps in existing research, the main focus is put on individual heat pumps in the residential sector (one-family houses) and the possibilities for flexible operation, using the heat storage options available. Several energy systems analyses are performed using the energy system models, Balmorel, developed at the former TSO, ElkraftSystem, and, EnergyPLAN, developed at Aalborg University. The Danish energy system towards 2030, with wind power penetrations of up to 60 %, is used as a case study in most of the analyses. Both models have been developed further, resulting in an improved representation of individual heat pumps and heat storages. An extensive model add-on for Balmorel renders it possible to optimise investment and operation of individual heat pumps and different types of heat storages, in integration with the energy system. Total costs of the energy system are minimised in the optimisation. The add-on incorporates thermal building dynamics and covers various different heat storage options: intelligent heat storage in the building structure for houses with radiator heating and floor heating, respectively, heat accumulation tanks on the space heating circuit, as well as hot water tanks. In EnergyPLAN, some of the heat storage options have been modelled in a technical optimisation that minimises fuel consumption of the energy system and utilises as much wind power as possible. The energy systems analyses reveal that in terms of supporting wind power integration, the installation of individual heat pumps is an important step, while adding heat storages to the heat pumps is less influential. When equipping the heat pumps with heat storages, only moderate system benefits can be gained. Hereof, the main system benefit is that the need for peak/reserve capacity investments can be reduced through peak load shaving; in

  1. Ecodriving in hybrid electric vehicles--Exploring challenges for user-energy interaction.

    Science.gov (United States)

    Franke, Thomas; Arend, Matthias Georg; McIlroy, Rich C; Stanton, Neville A

    2016-07-01

    Hybrid electric vehicles (HEVs) can help to reduce transport emissions; however, user behaviour has a significant effect on the energy savings actually achieved in everyday usage. The present research aimed to advance understanding of HEV drivers' ecodriving strategies, and the challenges for optimal user-energy interaction. We conducted interviews with 39 HEV drivers who achieved above-average fuel efficiencies. Regression analyses showed that technical system knowledge and ecodriving motivation were both important predictors for ecodriving efficiency. Qualitative data analyses showed that drivers used a plethora of ecodriving strategies and had diverse conceptualisations of HEV energy efficiency regarding aspects such as the efficiency of actively utilizing electric energy or the efficiency of different acceleration strategies. Drivers also reported several false beliefs regarding HEV energy efficiency that could impair ecodriving efforts. Results indicate that ecodriving support systems should facilitate anticipatory driving and help users locate and maintain drivetrain states of maximum efficiency. Copyright © 2016 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  2. Intelligent Energy Management Control for Extended Range Electric Vehicles Based on Dynamic Programming and Neural Network

    Directory of Open Access Journals (Sweden)

    Lihe Xi

    2017-11-01

    Full Text Available The extended range electric vehicle (EREV can store much clean energy from the electric grid when it arrives at the charging station with lower battery energy. Consuming minimum gasoline during the trip is a common goal for most energy management controllers. To achieve these objectives, an intelligent energy management controller for EREV based on dynamic programming and neural networks (IEMC_NN is proposed. The power demand split ratio between the extender and battery are optimized by DP, and the control objectives are presented as a cost function. The online controller is trained by neural networks. Three trained controllers, constructing the controller library in IEMC_NN, are obtained from training three typical lengths of the driving cycle. To determine an appropriate NN controller for different driving distance purposes, the selection module in IEMC_NN is developed based on the remaining battery energy and the driving distance to the charging station. Three simulation conditions are adopted to validate the performance of IEMC_NN. They are target driving distance information, known and unknown, changing the destination during the trip. Simulation results using these simulation conditions show that the IEMC_NN had better fuel economy than the charging deplete/charging sustain (CD/CS algorithm. More significantly, with known driving distance information, the battery SOC controlled by IEMC_NN can just reach the lower bound as the EREV arrives at the charging station, which was also feasible when the driver changed the destination during the trip.

  3. Strategic Energy Management (SEM) in a micro grid with modern grid interactive electric vehicle

    International Nuclear Information System (INIS)

    Panwar, Lokesh Kumar; Reddy, K. Srikanth; Kumar, Rajesh; Panigrahi, B.K.; Vyas, Shashank

    2015-01-01

    Highlights: • System: Modelling of energy and storage systems for micro grid. • Target: Co-ordination of unitized regenerative fuel cell (URFC) and electric vehicle (EV). • Energy management strategies: Only URFC, URFC–EV charging, URFC-V2G with enabled. • Multi-objective approach: loss, cost minimization, maximization of stored energy. • Proposed Solution: Intelligent co-ordination of URFC and EV with V2G with most effective strategy. - Abstract: In this paper, strategic energy management in a micro grid is proposed incorporating two types of storage elements viz. unitised regenerative fuel cell (URFC) and electric vehicle (EV). Rather than a simple approach of optimizing micro grid operation to minimize line loss in the micro grid, this paper deals with multi objective optimization to minimize line loss, operational cost and maximize the value of stored energy of URFC and EV simultaneously. Apart from URFC, two operation strategies are proposed for EV enabling V2G operation to reduce overall system cost of operation. To address the complexity, non-linearity and multi dimensionality of the objective function, particle swarm optimization-a heuristic approach based solution methodology along with forward and back sweep algorithm based load flow solution technique is developed. Combined with particle swarm optimization (PSO), forward and backward sweep algorithm resolves the complexity and multi dimensionality of the load flow analysis and optimizes the operational cost of micro grid. The simulation results are presented and discussed which are promising with regard to reduction in line loss as well as cost of operation. Scheduling strategy of the micro grid with both URFC and EV enabling V2G operation presents a promising approach to minimize line loss and cost of operation.

  4. Energy Management Strategy Based on the Driving Cycle Model for Plugin Hybrid Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Xiaoling Fu

    2014-01-01

    Full Text Available The energy management strategy (EMS for a plugin hybrid electric vehicle (PHEV is proposed based on the driving cycle model and dynamic programming (DP algorithm. A driving cycle model is constructed by collecting and processing the driving data of a certain school bus. The state of charge (SOC profile can be obtained by the DP algorithm for the whole driving cycle. In order to optimize the energy management strategy in the hybrid power system, the optimal motor torque control sequence can be calculated using the DP algorithm for the segments between the traffic intersections. Compared with the traditional charge depleting-charge sustaining (CDCS strategy, the test results on the ADVISOR platform show a significant improvement in fuel consumption using the EMS proposed in this paper.

  5. Stochastic optimal charging of electric-drive vehicles with renewable energy

    International Nuclear Information System (INIS)

    Pantoš, Miloš

    2011-01-01

    The paper presents the stochastic optimization algorithm that may eventually be used by electric energy suppliers to coordinate charging of electric-drive vehicles (EDVs) in order to maximize the use of renewable energy in transportation. Due to the stochastic nature of transportation patterns, the Monte Carlo simulation is applied to model uncertainties presented by numerous scenarios. To reduce the problem complexity, the simulated driving patterns are not individually considered in the optimization but clustered into fleets using the GAMS/SCENRED tool. Uncertainties of production of renewable energy sources (RESs) are presented by statistical central moments that are further considered in Hong’s 2-point + 1 estimation method in order to define estimate points considered in the optimization. Case studies illustrate the application of the proposed optimization in achieving maximal exploitation of RESs in transportation by EDVs. -- Highlights: ► Optimization model for EDV charging applying linear programming. ► Formation of EDV fleets based on the driving patterns assessment applying the GAMS/SCENRED. ► Consideration of uncertainties of RES production and energy prices in the market. ► Stochastic optimization. ► Application of Hong’s 2-point + 1 estimation method.

  6. A Single-Degree-of-Freedom Energy Optimization Strategy for Power-Split Hybrid Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Chaoying Xia

    2017-07-01

    Full Text Available This paper presents a single-degree-of-freedom energy optimization strategy to solve the energy management problem existing in power-split hybrid electric vehicles (HEVs. The proposed strategy is based on a quadratic performance index, which is innovatively designed to simultaneously restrict the fluctuation of battery state of charge (SOC and reduce fuel consumption. An extended quadratic optimal control problem is formulated by approximating the fuel consumption rate as a quadratic polynomial of engine power. The approximated optimal control law is obtained by utilizing the solution properties of the Riccati equation and adjoint equation. It is easy to implement in real-time and the engineering significance is explained in details. In order to validate the effectiveness of the proposed strategy, the forward-facing vehicle simulation model is established based on the ADVISOR software (Version 2002, National Renewable Energy Laboratory, Golden, CO, USA. The simulation results show that there is only a little fuel consumption difference between the proposed strategy and the Pontryagin’s minimum principle (PMP-based global optimal strategy, and the proposed strategy also exhibits good adaptability under different initial battery SOC, cargo mass and road slope conditions.

  7. Electric vehicle demonstration

    Energy Technology Data Exchange (ETDEWEB)

    Ouellet, M. [National Centre for Advanced Transportation, Saint-Jerome, PQ (Canada)

    2010-07-01

    The desirable characteristics of Canadian projects that demonstrate vehicle use in real-world operation and the appropriate mechanism to collect and disseminate the monitoring data were discussed in this presentation. The scope of the project was on passenger cars and light duty trucks operating in plug-in electric vehicle (PHEV) or battery electric vehicle modes. The presentation also discussed the funding, stakeholders involved, Canadian travel pattern analysis, regulatory framework, current and recent electric vehicle demonstration projects, and project guidelines. It was concluded that some demonstration project activities may have been duplicated as communication between the proponents was insufficient. It was recommended that data monitoring using automatic data logging with minimum reliance on logbooks and other user entry should be emphasized. figs.

  8. Differences in Energy Consumption in Electric Vehicles: An Exploratory Real-World Study in Beijing

    Directory of Open Access Journals (Sweden)

    Kezhen Hu

    2017-01-01

    Full Text Available Electric vehicles (EVs are widely regarded as a promising solution to reduce air pollution in cities and key to a low carbon mobility future. However, their environmental benefits depend on the temporal and spatial context of actual usage (journey energy efficiency and the rolling out of EVs is complicated by issues such as limited range. This paper explores how the energy efficiency of EVs is affected and shaped by driving behavior, personal driving styles, traffic conditions, and infrastructure design in the real world. Tests have been conducted with a Nissan LEAF under a typical driving cycle on the Beijing road network in order to improve understanding of variations in energy efficiency among drivers under different urban traffic conditions. Energy consumption and operation parameters were recorded in both peak and off-peak hours for a total of 13 drivers. The analysis reported in this paper shows that there are clear patterns in energy consumption along a route that are in part related to differences in infrastructure design, traffic conditions, and personal driving styles. The proposed method for analyzing time series data about energy consumption along routes can be used for research with larger fleets of EVs in the future.

  9. Influence of Battery/Ultracapacitor Energy-Storage Sizing on Battery Lifetime in a Fuel Cell Hybrid Electric Vehicle

    DEFF Research Database (Denmark)

    Schaltz, Erik; Rasmussen, Peter Omand; Khaligh, Alireza

    2009-01-01

    Combining high-energy-density batteries and high-power-density ultracapacitors in fuel cell hybrid electric vehicles (FCHEVs) results in a high-performance, highly efficient, low-size, and light system. Often, the battery is rated with respect to its energy requirement to reduce its volume and mass...

  10. Hybrid battery/supercapacitor energy storage system for the electric vehicles

    Science.gov (United States)

    Kouchachvili, Lia; Yaïci, Wahiba; Entchev, Evgueniy

    2018-01-01

    Electric vehicles (EVs) have recently attracted considerable attention and so did the development of the battery technologies. Although the battery technology has been significantly advanced, the available batteries do not entirely meet the energy demands of the EV power consumption. One of the key issues is non-monotonic consumption of energy accompanied by frequent changes during the battery discharging process. This is very harmful to the electrochemical process of the battery. A practical solution is to couple the battery with a supercapacitor, which is basically an electrochemical cell with a similar architecture, but with a higher rate capability and better cyclability. In this design, the supercapacitor can provide the excess energy required while the battery fails to do so. In addition to the battery and supercapacitor as the individual units, designing the architecture of the corresponding hybrid system from an electrical engineering point of view is of utmost importance. The present manuscript reviews the recent works devoted to the application of various battery/supercapacitor hybrid systems in EVs.

  11. Energy resource management under the influence of the weekend transition considering an intensive use of electric vehicles

    DEFF Research Database (Denmark)

    Sousa, T.; Morais, Hugo; Pinto, T.

    2015-01-01

    Energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and of massive electric vehicle is envisaged. The present paper proposes a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distri......Energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and of massive electric vehicle is envisaged. The present paper proposes a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use...... of distributed generation and Vehicle-to-Grid (V2G). This method considers that the energy resources are managed by a Virtual Power Player (VPP) which established contracts with their owners. It takes into account these contracts, the users' requirements subjected to the VPP, and several discharge price steps...

  12. Overview of hybrid electric vehicle trend

    Science.gov (United States)

    Wang, Haomiao; Yang, Weidong; Chen, Yingshu; Wang, Yun

    2018-04-01

    With the increase of per capita energy consumption, environmental pollution is worsening. Using new alternative sources of energy, reducing the use of conventional fuel-powered engines is imperative. Due to the short period, pure electric vehicles cannot be mass-produced and there are many problems such as imperfect charging facilities. Therefore, the development of hybrid electric vehicles is particularly important in a certain period. In this paper, the classification of hybrid vehicle, research status of hybrid vehicle and future development trends of hybrid vehicles is introduced. It is conducive to the public understanding of hybrid electric vehicles, which has a certain theoretical significance.

  13. Energy efficient non-road hybrid electric vehicles advanced modeling and control

    CERN Document Server

    Unger, Johannes; Jakubek, Stefan

    2016-01-01

    Analyzing the main problems in the real-time control of parallel hybrid electric powertrains in non-road applications, which work in continuous high dynamic operation, this book gives practical insight in to how to maximize the energetic efficiency and drivability of such powertrains. The book addresses an energy management control structure, which considers all constraints of the physical powertrain and uses novel methodologies for the prediction of the future load requirements to optimize the controller output in terms of an entire work cycle of a non-road vehicle. The load prediction includes a methodology for short term loads as well as for an entire load cycle by means of a cycle detection. A maximization of the energetic efficiency can so be achieved, which is simultaneously a reduction in fuel consumption and exhaust emissions. Readers will gain a deep insight into the necessary topics to be considered in designing an energy and battery management system for non-road vehicles and that only a combinatio...

  14. Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicle driving schedules

    International Nuclear Information System (INIS)

    Cardoso, G.; Stadler, M.; Bozchalui, M.C.; Sharma, R.; Marnay, C.; Barbosa-Póvoa, A.; Ferrão, P.

    2014-01-01

    The large scale penetration of electric vehicles (EVs) will introduce technical challenges to the distribution grid, but also carries the potential for vehicle-to-grid services. Namely, if available in large enough numbers, EVs can be used as a distributed energy resource (DER) and their presence can influence optimal DER investment and scheduling decisions in microgrids. In this work, a novel EV fleet aggregator model is introduced in a stochastic formulation of DER-CAM [1], an optimization tool used to address DER investment and scheduling problems. This is used to assess the impact of EV interconnections on optimal DER solutions considering uncertainty in EV driving schedules. Optimization results indicate that EVs can have a significant impact on DER investments, particularly if considering short payback periods. Furthermore, results suggest that uncertainty in driving schedules carries little significance to total energy costs, which is corroborated by results obtained using the stochastic formulation of the problem. - Highlights: • This paper introduces a new EV aggregator model in the DER-CAM model and expands it with a stochastic formulation. • The model is used to analyze the impact of EVs in DER investment decisions in a large office building. • The uncertainty in EV driving patterns is considered through scenarios based on data from a daily commute driving survey. • Results indicate that EVs have a significant impact in optimal DER decisions, particularly when looking at short payback periods. • Furthermore, results indicate that uncertainty in EV driving schedules has little impact on DER investment decisions

  15. Total energy cycle assessment of electric and conventional vehicles: an energy and environmental analysis. Volume 4: peer review comments on technical report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

    This report compares the energy use, oil use and emissions of electric vehicles (EVs) with those of conventional, gasoline-powered vehicles (CVs) over the total life cycle of the vehicles. The various stages included in the vehicles` life cycles include vehicle manufacture, fuel production, and vehicle operation. Disposal is not included. An inventory of the air emissions associated with each stage of the life cycle is estimated. Water pollutants and solid wastes are reported for individual processes, but no comprehensive inventory is developed. Volume IV includes copies of all the external peer review comments on the report distributed for review in July 1997.

  16. 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....

  17. Decentralized energy management strategy based on predictive controllers for a medium voltage direct current photovoltaic electric vehicle charging station

    International Nuclear Information System (INIS)

    Torreglosa, Juan P.; García-Triviño, Pablo; Fernández-Ramirez, Luis M.; Jurado, Francisco

    2016-01-01

    Highlights: • Electric vehicle charging station supplied by photovoltaic, batteries and grid connection is analyzed. • The bus voltage is the key parameter for controlling the system by decentralized approach. • Decentralized control approach facilities the enlargement of the system. • Photovoltaic and battery systems are controlled by model predictive controllers. • Response by model predictive controllers improves that by PI controllers. - Abstract: The use of distributed charging stations based on renewable energy sources for electric vehicles has increased in recent years. Combining photovoltaic solar energy and batteries as energy storage system, directly tied into a medium voltage direct current bus, and with the grid support, results to be an interesting option for improving the operation and efficiency of electric vehicle charging stations. In this paper, an electric vehicle charging station supplied by photovoltaic solar panels, batteries and with grid connection is analysed and evaluated. A decentralized energy management system is developed for regulating the energy flow among the photovoltaic system, the battery and the grid in order to achieve the efficient charging of electric vehicles. The medium voltage direct current bus voltage is the key parameter for controlling the system. The battery is controlled by a model predictive controller in order to keep the bus voltage at its reference value. Depending on the state-of-charge of the battery and the bus voltage, the photovoltaic system can work at maximum power point tracking mode or at bus voltage sustaining mode, or even the grid support can be needed. The results demonstrate the proper operation and energy management of the electric vehicle charging station under study.

  18. Predictive cruise control in hybrid electric vehicles

    NARCIS (Netherlands)

    Keulen, T. van; Naus, M.J.G.; Jager, B. de; Molengraft, G.J.L. van de; Steinbuch, M.; Aneke, N.P.I.

    2009-01-01

    Deceleration rates have considerable influence on the fuel economy of hybrid electric vehicles. Given the vehicle characteristics and actual/measured operating conditions, as well as upcoming route information, optimal velocity trajectories can be constructed that maximize energy recovery. To

  19. The design of electric vehicle intelligent charger

    Science.gov (United States)

    Xu, Yangyang; Wang, Ying

    2018-05-01

    As the situation of the lack of energy and environment pollution deteriorates rapidly, electric vehicle, a new type of traffic tool, is being researched worldwide. As the core components of electric vehicle, the battery and charger's performance play an important roles in the quality of electric vehicle. So the design of the Electric Vehicle Intelligent Charger based on language-C is designed in this paper. The hardware system is used to produce the input signals of Electric Vehicle Intelligent Charger. The software system adopts the language-C software as development environment. The design can accomplish the test of the parametric such as voltage-current and temperature.

  20. Study on the effect of driving cycles on energy efficiency of electric vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Ji Fenzhu; Xu Licong [School of Transportation Science and Engineering of Beihang Univ., BJ (China); Wu Zhixin [Tianjin Qing Yuan Electric Vehicle Corp. Ltd., TJ (China)

    2009-07-01

    The energy usage efficiency of electric vehicles (EVS) and evaluation index of electromotor efficiency were studied. The idea of ''interval usage percentage of energy efficiency'' and ''exertion degree of energy efficiency'' of electromotor was brought forward. The effect of driving cycles on the distribution of running status of electromotor and its efficiency was investigated. The electromotor efficiency and the variety trend of average driving force at different driving cycles were discussed. Based on several typical domestic and foreign driving cycles, the exertion degree of energy efficiency and the whole efficiency of power train on some types of EVS were analyzed and calculated. The result indicates that there is a difference of 9.64% in exertion degree of energy efficiency of electromotor at different driving cycles. The efficiency distribution of electromotor and control system is different, and the average driving force is different, too. That cause the great variety in driving range. The idiographic reference data are provided to the establishment of driving cycles' criterion of EVS in our country. (orig.)

  1. Managing high penetration of renewable energy in MV grid by electric vehicle storage

    DEFF Research Database (Denmark)

    Kordheili, Reza Ahmadi; Bak-Jensen, Birgitte; Pillai, Jayakrishnan Radhakrishna

    2015-01-01

    This paper proposes an intelligent algorithm for dealing with high penetration of renewable energy sources (RESs) in the medium voltage by intelligently managing electric vehicles (EVs), as one of the grid flexible loads. The MV grid used in this work is a CIGRE benchmark grid. Different...... residential and industrial loads are considered in this grid. The connection of medium voltage wind turbines to the grid is investigated. The solar panels in this study are residential panels. Also, EVs are located among the buses with residential demand. The study is done for different winter and summer...... scenarios, considering typical load profiles in Denmark. Different scenarios have been studied with different penetration level of RESs in the grid. The results show the capability of the proposed algorithm to reduce voltage deviations among the grid buses, as well as to increase the RES penetration...

  2. Investigations on an energy efficient air conditioning of hybrid vehicles and electric-powered vehicles; Untersuchungen zur energieeffizienten Klimatisierung von Hybrid- und Elektrofahrzeugen

    Energy Technology Data Exchange (ETDEWEB)

    Aurich, Joerg; Baumgart, Rico; Danzer, Christoph; Unwerth, Thomas von [Technische Univ. Chemnitz (Germany). Professur Alternative Fahrzeugantriebe

    2012-11-01

    The energy-efficient air conditioning of passenger cells is an ever-increasing challenge in the development of electric vehicles because the electric heating in particular reduces the cruising range significantly. For this reason, a simulation model has been developed at Chemnitz University of Technology, which simulates the whole air conditioning system including the passenger cell and the complete powertrain in electric cars. Using this model, different optimization approaches have been analyzed and evaluated concerning the cruising range. This paper first illustrates how much the cruising range of an exemplary electric vehicle is reduced by using the electric heating under different wintery weather conditions. Afterwards, the exploitation of the waste heat produced by the powertrain components (electric motor and power electronics) will be explained. Finally, it shall be described to what extent this exploitation increases the cruising range. (orig.)

  3. Battery Electric Vehicles can reduce greenhouse has emissions and make renewable energy cheaper in India

    Energy Technology Data Exchange (ETDEWEB)

    Gopal, Anand R [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Witt, Maggie [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sheppard, Colin [Humboldt State Univ., Arcata, CA (United States); Harris, Andrew [Humboldt State Univ., Arcata, CA (United States)

    2015-07-01

    India's National Mission on Electric Mobility (NMEM) sets a countrywide goal of deploying 6 to 7 million hybrid and electric vehicles (EVs) by 2020. There are widespread concerns, both within and outside the government, that the Indian grid is not equipped to accommodate additional power demand from battery electric vehicles (BEVs). Such concerns are justified on the grounds of India's notorious power sector problems pertaining to grid instability and chronic blackouts. Studies have claimed that deploying BEVs in India will only

  4. Online energy management strategy of fuel cell hybrid electric vehicles based on data fusion approach

    Science.gov (United States)

    Zhou, Daming; Al-Durra, Ahmed; Gao, Fei; Ravey, Alexandre; Matraji, Imad; Godoy Simões, Marcelo

    2017-10-01

    Energy management strategy plays a key role for Fuel Cell Hybrid Electric Vehicles (FCHEVs), it directly affects the efficiency and performance of energy storages in FCHEVs. For example, by using a suitable energy distribution controller, the fuel cell system can be maintained in a high efficiency region and thus saving hydrogen consumption. In this paper, an energy management strategy for online driving cycles is proposed based on a combination of the parameters from three offline optimized fuzzy logic controllers using data fusion approach. The fuzzy logic controllers are respectively optimized for three typical driving scenarios: highway, suburban and city in offline. To classify patterns of online driving cycles, a Probabilistic Support Vector Machine (PSVM) is used to provide probabilistic classification results. Based on the classification results of the online driving cycle, the parameters of each offline optimized fuzzy logic controllers are then fused using Dempster-Shafer (DS) evidence theory, in order to calculate the final parameters for the online fuzzy logic controller. Three experimental validations using Hardware-In-the-Loop (HIL) platform with different-sized FCHEVs have been performed. Experimental comparison results show that, the proposed PSVM-DS based online controller can achieve a relatively stable operation and a higher efficiency of fuel cell system in real driving cycles.

  5. Reinforcement Learning–Based Energy Management Strategy for a Hybrid Electric Tracked Vehicle

    Directory of Open Access Journals (Sweden)

    Teng Liu

    2015-07-01

    Full Text Available This paper presents a reinforcement learning (RL–based energy management strategy for a hybrid electric tracked vehicle. A control-oriented model of the powertrain and vehicle dynamics is first established. According to the sample information of the experimental driving schedule, statistical characteristics at various velocities are determined by extracting the transition probability matrix of the power request. Two RL-based algorithms, namely Q-learning and Dyna algorithms, are applied to generate optimal control solutions. The two algorithms are simulated on the same driving schedule, and the simulation results are compared to clarify the merits and demerits of these algorithms. Although the Q-learning algorithm is faster (3 h than the Dyna algorithm (7 h, its fuel consumption is 1.7% higher than that of the Dyna algorithm. Furthermore, the Dyna algorithm registers approximately the same fuel consumption as the dynamic programming–based global optimal solution. The computational cost of the Dyna algorithm is substantially lower than that of the stochastic dynamic programming.

  6. Calibration methodology for energy management system of a plug-in hybrid electric vehicle

    International Nuclear Information System (INIS)

    Duan, Benming; Wang, Qingnian; Zeng, Xiaohua; Gong, Yinsheng; Song, Dafeng; Wang, Junnian

    2017-01-01

    Highlights: • Calibration theory of EMS is proposed. • A comprehensive evaluating indicator is constructed by radar chart method. • Optimal Latin hypercube design algorithm is introduced to obtain training data. • An approximation model is established by using a RBF neural network. • Offline calibration methodology improves the actual calibration efficiency. - Abstract: This paper presents a new analytical calibration method for energy management strategy designed for a plug-in hybrid electric vehicle. This method improves the actual calibration efficiency to reach a compromise among the conflicting calibration requirements (e.g. emissions and economy). A comprehensive evaluating indicator covering emissions and economic performance is constructed by using a radar chart method. A radial basis functions (RBFs) neural network model is proposed to establish a precise model among control parameters and the comprehensive evaluation indicator. The optimal Latin hypercube design is introduced to obtain the experimental data to train the RBFs neural network model. And multi-island genetic algorithm is used to solve the optimization model. Finally, an offline calibration example is conducted. Results validate the effectiveness of the proposed calibration approach in improving vehicle performance and calibration efficiency.

  7. Application of fuel cell and electrolyzer as hydrogen energy storage system in energy management of electricity energy retailer in the presence of the renewable energy sources and plug-in electric vehicles

    International Nuclear Information System (INIS)

    Nojavan, Sayyad; Zare, Kazem; Mohammadi-Ivatloo, Behnam

    2017-01-01

    Highlights: • Electricity retailer determines selling price to consumers in the smart grids. • Real-time pricing is determined in comparison with fixed and time-of-use pricing. • Hydrogen storage systems and plug-in electric vehicles are used for energy sources. • Optimal charging and discharging power of electrolyser and fuel cell is determined. • Optimal charging and discharging power of plug-in electric vehicles is determined. - Abstract: The plug-in electric vehicles and hydrogen storage systems containing electrolyzer, stored hydrogen tanks and fuel cell as energy storage systems can bring various flexibilities to the energy management problem. In this paper, selling price determination and energy management problem of an electricity retailer in the smart grid under uncertainties have been proposed. Multiple energy procurement sources containing pool market, bilateral contracts, distributed generation units, renewable energy sources (photovoltaic system and wind turbine), plug-in electric vehicles and hydrogen storage systems are considered. The scenario-based stochastic method is used for uncertainty modeling of pool market prices, consumer demand, temperature, irradiation and wind speed. In the proposed model, the selling price is determined and compared by the retailer in the smart grid in three cases containing fixed pricing, time-of-use pricing and real-time pricing. It is shown that the selling price determination based on real-time pricing and flexibilities of plug-in electric vehicles and hydrogen storage systems leads to higher expected profit. The proposed model is formulated as mixed-integer linear programming that can be solved under General Algebraic Modeling System. To validate the proposed model, three types of selling price determination under four case studies are utilized and the results are compared.

  8. Regulation of the wind power production. Contribution of the electric vehicles and other energy storage systems

    Energy Technology Data Exchange (ETDEWEB)

    Mateus, Carlos B. [Instituto de Meteorologia, Lisboa (Portugal); Estanqueiro, Ana [INETI/LNEG - National Laboratory for Energy and Geology, Lisbon (Portugal)

    2012-07-01

    The increase in penetration of variable renewable energy sources (RES) introduced additional difficulties regarding the management of the Portuguese Power System. This is mainly due to the high temporal variability and low controllability, characteristics of these kinds of sources. There is a real need to reduce the impact of non-dispatchable RES sources; maximizing their penetration and minimizing curtailment. This is especially true for wind power and run-of-the-river hydro (ROR); as it appears beneficial to combine their variable production with added capacity of energy storage and demand side management; thereby increasing the flexibility of the power system as a whole. This paper aims to assess the excess wind generation (and other non-dispatchable sources); this for periods of production's excess in a 2020 timeframe, and assuming different weather scenarios. The adjustment of wind power generation (WPG) profile to the load profile is also addressed; the result is computed in the form of the value of the energy temporally deferred, using Pumped Hydro Storage (PHS) power plants as well as electric Vehicles (EVs). (orig.)

  9. Sizing community energy storage systems to reduce transformer overloading with emphasis on plug-in electric vehicle loads

    Science.gov (United States)

    Trowler, Derik Wesley

    The research objective of this study was to develop a sizing method for community energy storage systems with emphasis on preventing distribution transformer overloading due to plug-in electric vehicle charging. The method as developed showed the formulation of a diversified load profile based upon residential load data for several customers on the American Electric Power system. Once a load profile was obtained, plug-in electric vehicle charging scenarios which were based upon expected adoption and charging trends were superimposed on the load profile to show situations where transformers (in particular 25 kVA, 50 kVA, and 100 kVA) would be overloaded during peak hours. Once the total load profiles were derived, the energy and power requirements of community energy storage systems were calculated for a number of scenarios with different combinations of numbers of homes and plug-in electric vehicles. The results were recorded and illustrated into charts so that one could determine the minimum size per application. Other topics that were covered in this thesis were the state of the art and future trends in plug-in electric vehicle and battery chemistry adoption and development. The goal of the literature review was to confirm the already suspected notion that Li-ion batteries are best suited and soon to be most cost-effective solution for applications requiring small, efficient, reliable, and light-weight battery systems such as plug-in electric vehicles and community energy storage systems. This thesis also includes a chapter showing system modeling in MATLAB/SimulinkRTM. All in all, this thesis covers a wide variety of considerations involved in the designing and deploying of community energy storage systems intended to mitigate the effects of distribution transformer overloading.

  10. Wind Energy and Transport Synergy: Electric Vehicle or Hydrogen Vehicle?; Sinergia Energia Eolica Transporte: vehiculo electrico o vehiculo de hidrogeno?

    Energy Technology Data Exchange (ETDEWEB)

    Cruz, I.

    2009-07-01

    This article briefly analyzes the potential uses of hydrogen as a form of energy from wind power. It also briefly describes the different experiences gained in wind energy-based hydrogen production by water hydrolysis, and finally it concludes with a brief analysis of the competition between hydrogen and the new ion-lithium batteries used in motor vehicles as potential solutions to support wind energy management. (Author)

  11. Electric vehicle charging in China's power system : Energy, economic and environmental trade-offs and policy implications

    NARCIS (Netherlands)

    Li, Ying; Davis, Chris; Lukszo, Zofia; Weijnen, Margot

    2016-01-01

    This work investigates different scenarios for electric vehicle (EV) deployment in China and explores the implications thereof with regard to energy portfolio, economics and the environment. Specifically, we investigate how to better deliver the value of EVs by improving designs in the power system

  12. Smart use of storage potentials of electric vehicles for renewable energy generation in the built environment : A design scenario

    NARCIS (Netherlands)

    Van Timmeren, A.; Bauer, T.C.; Silvester, S.

    2011-01-01

    In this paper, results are reported of a technology assessment of use of electrical vehicles for energy storage (of renewable sources), their integration in the built environment and attached required power and charging systems for the Netherlands. This was done as part of the DIEMIGO project on

  13. Integrating private transport into renewable energy policy: The strategy of creating intelligent recharging grids for Electric Vehicles

    DEFF Research Database (Denmark)

    Andersen, Poul Houman; Mathews, John A.; Rask, Morten

    2009-01-01

    A new business model for accelerating the introduction of Electric Vehicles into private transport systems involves the provision by an Electric Recharge Grid Operator (ERGO) of an intelligent rechargeable network in advance of the vehicles themselves. The ERGO business model creates a market...... (as witnessed in the Danish case with wind energy) and managing the resulting fluctuating supply efficiently. The other problem concerns finding ways to reduce CO2 emissions in the transport sector. The ERGO business model effectively solves both problems, by transforming EVs into distributed storage...

  14. Batteries for Electric Vehicles

    Science.gov (United States)

    Conover, R. A.

    1985-01-01

    Report summarizes results of test on "near-term" electrochemical batteries - (batteries approaching commercial production). Nickel/iron, nickel/zinc, and advanced lead/acid batteries included in tests and compared with conventional lead/acid batteries. Batteries operated in electric vehicles at constant speed and repetitive schedule of accerlerating, coasting, and braking.

  15. Device for generating auxiliary electrical energy on a vehicle. Anordnung zum Erzeugen elektrischer Hilfsenergie auf einem Fahrzeug

    Energy Technology Data Exchange (ETDEWEB)

    Lichtenberg, A

    1980-10-23

    The invention refers to a device for generating auxiliary electrical energy in a generator, which is situated in a vehicle, particularly a magnetic levitating vehicle (MAGLEV vehicle) connected to a magnetic pole rotor. This magnetic pole rotor is moved without touching relative to a fixed motor track made as a track, where, using the electro-dynamic interaction between the magnetic pole rotor and the track motor part, the torque generated by the magnetic pole rotor is transmitted to the generator. The purpose of the invention is to introduce the generation of auxiliary electrical energy on board vehicles without using propellers without contact and without a wandering field winding from vehicle movement. According to the invention, this is achieved by the track motor part being an inactive electrically conducting rail and the torque being transmitted using the eddy current effect. The magnetic pole rotor is made as a magnetic pole rotor without iron and is arranged above an electrically conducting support rail of an electrodynamic support system.

  16. Electric Vehicle Integration into Modern Power Networks

    DEFF Research Database (Denmark)

    software tools to assess the impacts resulting from the electric vehicles deployment on the steady state and dynamic operation of electricity grids, identifies strategies to mitigate them and the possibility to support simultaneously large-scale integration of renewable energy sources. New business models......Electric Vehicle Integration into Modern Power Networks provides coverage of the challenges and opportunities posed by the progressive integration of electric drive vehicles. Starting with a thorough overview of the current electric vehicle and battery state-of-the-art, this work describes dynamic...... and control management architectures, as well as the communication infrastructure required to integrate electric vehicles as active demand are presented. Finally, regulatory issues of integrating electric vehicles into modern power systems are addressed. Inspired by two courses held under the EES...

  17. Electric Vehicle Integration into Modern Power Networks

    DEFF Research Database (Denmark)

    Electric Vehicle Integration into Modern Power Networks provides coverage of the challenges and opportunities posed by the progressive integration of electric drive vehicles. Starting with a thorough overview of the current electric vehicle and battery state-of-the-art, this work describes dynamic...... software tools to assess the impacts resulting from the electric vehicles deployment on the steady state and dynamic operation of electricity grids, identifies strategies to mitigate them and the possibility to support simultaneously large-scale integration of renewable energy sources. New business models...... and control management architectures, as well as the communication infrastructure required to integrate electric vehicles as active demand are presented. Finally, regulatory issues of integrating electric vehicles into modern power systems are addressed. Inspired by two courses held under the EES...

  18. 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.

  19. Electric/Hybrid Vehicle Simulation

    Science.gov (United States)

    Slusser, R. A.; Chapman, C. P.; Brennand, J. P.

    1985-01-01

    ELVEC computer program provides vehicle designer with simulation tool for detailed studies of electric and hybrid vehicle performance and cost. ELVEC simulates performance of user-specified electric or hybrid vehicle under user specified driving schedule profile or operating schedule. ELVEC performs vehicle design and life cycle cost analysis.

  20. Driving rural energy access: a second-life application for electric-vehicle batteries

    Science.gov (United States)

    Ambrose, Hanjiro; Gershenson, Dimitry; Gershenson, Alexander; Kammen, Daniel

    2014-09-01

    Building rural energy infrastructure in developing countries remains a significant financial, policy and technological challenge. The growth of the electric vehicle (EV) industry will rapidly expand the resource of partially degraded, ‘retired’, but still usable batteries in 2016 and beyond. These batteries can become the storage hubs for community-scale grids in the developing world. We model the resource and performance potential and the technological and economic aspects of the utilization of retired EV batteries in rural and decentralized mini- and micro-grids. We develop and explore four economic scenarios across three battery chemistries to examine the impacts on transport and recycling logistics. We find that EVs sold through 2020 will produce 120-549 GWh in retired storage potential by 2028. Outlining two use scenarios for decentralized systems, we discuss the possible impacts on global electrification rates. We find that used EV batteries can provide a cost-effective and lower environmental impact alternative to existing lead-acid storage systems in these applications.

  1. Integrating private transport into renewable energy policy. The strategy of creating intelligent recharging grids for electric vehicles

    International Nuclear Information System (INIS)

    Andersen, Poul H.; Rask, Morten; Mathews, John A.

    2009-01-01

    A new business model for accelerating the introduction of electric vehicles into private transport systems involves the provision by an Electric Recharge Grid Operator (ERGO) of an intelligent rechargeable network in advance of the vehicles themselves. The ERGO business model creates a market for co-ordinated production and consumption of renewable energy. The innovative contribution of the model rests in its ability to combine two problems and thereby solve them in a fresh way. One problem derives from utilizing power grids with a substantial increase in renewable electric energy production (as witnessed in the Danish case with wind energy) and managing the resulting fluctuating supply efficiently. The other problem concerns finding ways to reduce CO 2 emissions in the transport sector. The ERGO business model effectively solves both problems, by transforming EVs into distributed storage devices for electricity, thus enabling a fresh approach to evening out of fluctuating and unpredictable energy sources, while drastically reducing greenhouse gas emissions. This integrated solution carries many other associated benefits, amongst which are the possibility of introducing vehicle-to-grid (V2G) distributed power generation; introducing IT intelligence to the grid, and creating virtual power plants from distributed sources; and providing new applications for carbon credits in the decarbonisation of the economy. The countries and regions that have signed on to this model and are working to introduce it in 2009-2011 include Israel, Denmark, Australia, and in the US, the Bay Area cities and the state of Hawaii. (author)

  2. Optimised performance of a plug-in electric vehicle aggregator in energy and reserve markets

    International Nuclear Information System (INIS)

    Shafie-khah, M.; Moghaddam, M.P.; Sheikh-El-Eslami, M.K.; Catalão, J.P.S.

    2015-01-01

    Highlights: • A new model is developed to optimise the performance of a PEV aggregator in the power market. • PEVs aggregator can combine the PEVs and manage the charge/discharge of their batteries. • A new approach to calculate the satisfaction/motivation of PEV owners is proposed. • Several uncertainties are taken into account using a two-stage stochastic programing approach. • The proposed model is proficient in significantly improving the short- and long-term behaviour. - Abstract: In this paper, a new model is developed to optimise the performance of a plug-in Electric Vehicle (EV) aggregator in electricity markets, considering both short- and long-term horizons. EV aggregator as a new player of the power market can aggregate the EVs and manage the charge/discharge of their batteries. The aggregator maximises the profit and optimises EV owners’ revenue by applying changes in tariffs to compete with other market players for retaining current customers and acquiring new owners. On this basis, a new approach to calculate the satisfaction/motivation of EV owners and their market participation is proposed in this paper. Moreover, the behaviour of owners to select their supplying company is considered. The aggregator optimises the self-scheduling programme and submits the best bidding/offering strategies to the day-ahead and real-time markets. To achieve this purpose, the day-ahead and real-time energy and reserve markets are modelled as oligopoly markets, in contrast with previous works that utilised perfectly competitive ones. Furthermore, several uncertainties and constraints are taken into account using a two-stage stochastic programing approach, which have not been addressed in previous works. The numerical studies show the effectiveness of the proposed model

  3. Electric vehicle speed control

    Energy Technology Data Exchange (ETDEWEB)

    Krueger, W.R.; Mc Auliffe, G.N.; Schlageter, G.A.

    1987-06-23

    This patent describes an electric vehicle driven by a DC motor. The vehicle has a field winding, an electric resistance element in circuit with the field winding, a switch in the circuit operative when closed to place. The element in parallel with the field winding weakens the field and increases potential motor speed. Also are relay means for operating the switch, means to determine motor speed, computer means for determining whether the motor speed is increasing or decreasing, and means for operating the relay means to close the switch at a first speed. If the motor speed is increased, it actuates the switch at a second speed lower than the first speed but only if switch has been closed previously and motor speed is decreasing.

  4. Improved grid operation through power smoothing control strategies utilizing dedicated energy storage at an electric vehicle charging station

    DEFF Research Database (Denmark)

    Martinsen, Thomas; Holjevac, Ninoslav; Bremdal, Bernt A.

    2016-01-01

    project (Flex-ChEV) supported by the ERA-Net Smart Grid FP7 program. The principal asset of the proposed charging station (CS) is a dedicated Energy Storage System (ESS) to compensate for adverse effects on the grid caused by peak charging demand and which could impose severe trials for the local DSO....... Furthermore, CS of this kind could serve multiple business purposes in a smart grid. It can serve as a hub for seamless integration of local renewable and distributed energy resources, it can provide added flexibility for the local grid through different ancillary services and it can act as an efficient......This paper addresses the principal service aspects for electric vehicles (EV), as well as issues related to energy storage design, charging station integration into power system and load management issues. It builds on the research conducted in the Flexible Electric Vehicle Charging Infrastructure...

  5. Flexible Local Load Controller for Fast ElectricVehicle Charging Station Supplemented with Flywheel Energy Storage System

    DEFF Research Database (Denmark)

    Dragicevic, Tomislav; SUN, BO; Schaltz, Erik

    2014-01-01

    Electric vehicle charging infrastructure is hitting the stage where its impact on performance and operation of power systems becomes more and more pronounced. Aiming to utilize the existing power distribution infrastructure and delay its expansion, an approach that includes installation of dedica......Electric vehicle charging infrastructure is hitting the stage where its impact on performance and operation of power systems becomes more and more pronounced. Aiming to utilize the existing power distribution infrastructure and delay its expansion, an approach that includes installation...... of dedicated flywheel energy storage system (FESS) within the charging station and compensating some of the adverse effects of high power charging is explored in this paper. Although sharing some similarities with vehicle to grid (V2G) technology, the principal advantage of this strategy is the fact that many...

  6. Electric vehicle utilization for ancillary grid services

    Science.gov (United States)

    Aziz, Muhammad

    2018-02-01

    Electric vehicle has been developed through several decades as transportation mean, without paying sufficient attention of its utilization for other purposes. Recently, the utilization of electric vehicle to support the grid electricity has been proposed and studied intensively. This utilization covers several possible services including electricity storage, spinning reserve, frequency and voltage regulation, and emergency energy supply. This study focuses on theoretical and experimental analysis of utilization of electric vehicles and their used batteries to support a small-scale energy management system. Charging rate of electric vehicle under different ambient temperature (seasonal condition) is initially analyzed to measure the correlation of charging rate, charging time, and state-of-charge. It is confirmed that charging under warmer condition (such as in summer or warmer region) shows higher charging rate than one in colder condition, therefore, shorter charging time can be achieved. In addition, in the demonstration test, each five electric vehicles and used batteries from the same electric vehicles are employed and controlled to support the electricity of the office building. The performance of the system is evaluated throughout a year to measure the load leveling effect during peak-load time. The results show that the targeted peak-load can be shaved well under certain calculated peak-shaving threshold. The finding confirms that the utilization of electric vehicle for supporting the electricity of grid or certain energy management system is feasible and deployable in the future.

  7. Conventional, hybrid, plug-in hybrid or electric vehicles? State-based comparative carbon and energy footprint analysis in the United States

    International Nuclear Information System (INIS)

    Onat, Nuri Cihat; Kucukvar, Murat; Tatari, Omer

    2015-01-01

    Highlights: • Driving patterns and electricity generation mix influence vehicle preferences. • EVs are found to be least carbon-intensive vehicle option in 24 states. • HEVs are found to be the most energy-efficient option in 45 states. • EVs across the board are unfavorable in the marginal electricity mix scenario. • Use of renewable energy to power EVs/PHEVs is crucial. - Abstract: Electric vehicles (EVs), plug-in hybrid electric vehicles (PHEVs), and hybrid electric vehicles (HEVs) are often considered as better options in terms of greenhouse gas emissions and energy consumption compared to internal combustion vehicles. However, making any decision among these vehicle options is not a straightforward process due to temporal and spatial variations, such as the sources of the electricity used and regional driving patterns. In this study, we compared these vehicle options across 50 states, taking into account state-specific average and marginal electricity generation mixes, regional driving patterns, and vehicle and battery manufacturing impacts. Furthermore, a policy scenario proposing the widespread use of solar energy to charge EVs and PHEVs is evaluated. Based on the average electricity generation mix scenario, EVs are found to be least carbon-intensive vehicle option in 24 states, while HEVs are found to be the most energy-efficient option in 45 states. In the marginal electricity mix scenario, widespread adoption of EVs is found to be an unwise strategy given the existing and near-future marginal electricity generation mix. On the other hand, EVs can be superior to other alternatives in terms of energy-consumption, if the required energy to generate 1 kW h of electricity is below 1.25 kW h

  8. Wireless Energy Transfer Using Resonant Magnetic Induction for Electric Vehicle Charging Application

    Science.gov (United States)

    Dahal, Neelima

    The research work for this thesis is based on utilizing resonant magnetic induction for wirelessly charging electric vehicles. The background theory for electromagnetic induction between two conducting loops is given and it is shown that an RLCequivalent circuit can be used to model the loops. An analysis of the equivalent circuit is used to show how two loosely coupled loops can be made to exchange energy efficiently by operating them at a frequency which is the same as the resonant frequency of both. Furthermore, it is shown that the efficiency is the maximum for critical coupling (determined by the quality factors of the loops), and increasing the coupling beyond critical coupling causes double humps to appear in the transmission efficiency versus frequency spectrum. In the experiment, as the loops are brought closer together which increases the coupling between them, doubles humps, as expected from the equivalent circuit analysis is seen. Two models for wireless energy transfer are identified: basic model and array model. The basic model consists of the two loosely coupled loops, the transmitter and the receiver. The array model consists of a 2 x 2 array of the transmitter and three parasites, and the receiver. It is shown that the array model allows more freedom for receiver placement at the cost of degraded transmission efficiency compared to the basic model. Another important part of the thesis is software validation. HFSS-IE and 4NEC2 are the software tools used and the simulation results for wire antennas are compared against references obtained from a textbook and a PhD dissertation. It is shown that the simulations agree well with the references and also with each other.

  9. Novel control algorithm of braking energy regeneration system for an electric vehicle during safety–critical driving maneuvers

    International Nuclear Information System (INIS)

    Lv, Chen; Zhang, Junzhi; Li, Yutong; Yuan, Ye

    2015-01-01

    Highlights: • Models of an electric vehicle with regenerative braking system (RBS) are built. • Control algorithm of RBS under safety–critical driving maneuvers is proposed. • Simulations and HIL tests of the proposed strategy are conducted. • Performance improvement of vehicle’s mean deceleration is up to 13.89%. • Test results verify the feasibility and effectiveness of the proposed method. - Abstract: This paper mainly focuses on control algorithm of the braking energy regeneration system of an electric bus under safety–critical driving situations. With the aims of guaranteeing vehicle stability in various types of tyre–road adhesion conditions, based on the characteristics of electrified powertrain, a novel control algorithm of regenerative braking system is proposed for electric vehicles during anti-lock braking procedures. First, the models of vehicle dynamics and main components including braking energy regenerative system of the case-study electric bus are built in MATLAB/Simulink. Then, based on the phase-plane method, the optimal brake torque is calculated for ABS control of vehicle. Next, a novel allocation strategy, wherein the target optimal brake torque is divided into two parts that are handled separately by the regenerative and friction brakes, is developed. Simulations of the proposed control strategy are conducted based on system models built using MATLAB/Simulink. The simulation results demonstrate that the developed strategy enables improved control in terms of vehicle stability and braking performance under different emergency driving conditions. To further verify the synthesized control algorithm, hardware-in-the-loop tests are also performed. The experimental results validate the simulation data and verify the feasibility and effectiveness of the developed control algorithm.

  10. Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming

    Science.gov (United States)

    Chen, Zheng; Mi, Chris Chunting; Xiong, Rui; Xu, Jun; You, Chenwen

    2014-02-01

    This paper introduces an online and intelligent energy management controller to improve the fuel economy of a power-split plug-in hybrid electric vehicle (PHEV). Based on analytic analysis between fuel-rate and battery current at different driveline power and vehicle speed, quadratic equations are applied to simulate the relationship between battery current and vehicle fuel-rate. The power threshold at which engine is turned on is optimized by genetic algorithm (GA) based on vehicle fuel-rate, battery state of charge (SOC) and driveline power demand. The optimal battery current when the engine is on is calculated using quadratic programming (QP) method. The proposed algorithm can control the battery current effectively, which makes the engine work more efficiently and thus reduce the fuel-consumption. Moreover, the controller is still applicable when the battery is unhealthy. Numerical simulations validated the feasibility of the proposed controller.

  11. Electric vehicle battery charging controller

    DEFF Research Database (Denmark)

    2016-01-01

    The present invention provides an electric vehicle charging controller. The charging controller comprises a first interface connectable to an electric vehicle charge source for receiving a charging current, a second interface connectable to an electric vehicle for providing the charging current...... to a battery management system in the electric vehicle to charge a battery therein, a first communication unit for receiving a charging message via a communication network, and a control unit for controlling a charging current provided from the charge source to the electric vehicle, the controlling at least...... in part being performed in response to a first information associated with a charging message received by the first communication unit...

  12. Combined Solar Charging Stations and Energy Storage Units Allocation for Electric Vehicles by Considering Uncertainties

    DEFF Research Database (Denmark)

    Yousefi Khanghah, Babak; Anvari-Moghaddam, Amjad; Guerrero, Josep M.

    2017-01-01

    Electric vehicles (EVs) are becoming a key feature of smart grids. EVs will be embedded in the smart grids as a mobile load-storage with probabilistic behavior. In order to manage EVs as flexible loads, charging stations (CSs) have essential roles. In this paper, a new method for optimal sitting...... are considered based on time-of-use (TOU) demand response programs (DRPs). In order to solve the optimization problem considering uncertainty of load growth, electricity price, initial state of charge of batteries and solar power generation, genetic algorithm method using Monte-Carlo simulation is used...

  13. Control of Flywheel Energy Storage Systems in Electrical Vehicle Charging Stations

    OpenAIRE

    Sun, Bo

    2017-01-01

    Growing environmental awareness and strong political impetus have resulted in plug-in electric vehicles (PEV) becoming ever more attractive means of transportation. They are expected to have a significant impact to the overall loading of future distribution networks. Thus, current distribution grids need to be updated in order to accommodate PEV fleets, which are recognized in smart grid (SG) objective. The prevailing concern in that sense is the combined impact of a large number of randomly ...

  14. Development & optimization of a rule-based energy management strategy for fuel economy improvement in hybrid electric vehicles

    Science.gov (United States)

    Asfoor, Mostafa

    The gradual decline of oil reserves and the increasing demand for energy over the past decades has resulted in automotive manufacturers seeking alternative solutions to reduce the dependency on fossil-based fuels for transportation. A viable technology that enables significant improvements in the overall energy conversion efficiencies is the hybridization of conventional vehicle drive systems. This dissertation builds on prior hybrid powertrain development at the University of Idaho. Advanced vehicle models of a passenger car with a conventional powertrain and three different hybrid powertrain layouts were created using GT-Suite. These different powertrain models were validated against a variety of standard driving cycles. The overall fuel economy, energy consumption, and losses were monitored, and a comprehensive energy analysis was performed to compare energy sources and sinks. The GT-Suite model was then used to predict the formula hybrid SAE vehicle performance. Inputs to this model were a numerically predicted engine performance map, an electric motor torque curve, vehicle geometry, and road load parameters derived from a roll-down test. In this case study, the vehicle had a supervisory controller that followed a rule-based energy management strategy to insure a proper power split during hybrid mode operation. The supervisory controller parameters were optimized using discrete grid optimization method that minimized the total amount of fuel consumed during a specific urban driving cycle with an average speed of approximately 30 [mph]. More than a 15% increase in fuel economy was achieved by adding supervisory control and managing power split. The vehicle configuration without the supervisory controller displayed a fuel economy of 25 [mpg]. With the supervisory controller this rose to 29 [mpg]. Wider applications of this research include hybrid vehicle controller designs that can extend the range and survivability of military combat platforms. Furthermore, the

  15. Electric Vehicle Market Penetration and Impacts on Energy Consumption and CO2 Emission in the Future: Beijing Case

    Directory of Open Access Journals (Sweden)

    Qian Zhang

    2017-02-01

    Full Text Available This study focuses on the development of electric vehicles (EV in the private passenger vehicle fleet in Beijing (China, analyzes how EVs will penetrate in the market, and estimates the resulting impacts on energy consumption and CO2 emissions up to 2030. A discrete choice model is adopted with consideration of variables including vehicle technical characteristics, fuel prices, charging conditions and support policies. Results show that by 2030, without technological breakthrough and support policies, the market share of EV will be less than 7%, with gasoline dominating the energy structure. With fast technological progress, charging facility establishment, subsidies and tax breaks, EVs will account for 70% of annual new vehicle sales and nearly half of the vehicle stock by 2030, resulting in the substitution of nearly 1 million tons of gasoline with 3.2 billion kWh electricity in 2030 and the reduction of 0.6 million tons of CO2 emission in 2030. Technological progress, charging conditions and fuel prices are the top three drivers. Subsidies play an important role in the early stage, while tax and supply-side policies can be good options as long-term incentives.

  16. Well-to-wheels energy use and greenhouse gas emissions analysis of plug-in hybrid electric vehicles.

    Energy Technology Data Exchange (ETDEWEB)

    Elgowainy, A.; Burnham, A.; Wang, M.; Molburg, J.; Rousseau, A.; Energy Systems

    2009-03-31

    Researchers at Argonne National Laboratory expanded the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model and incorporated the fuel economy and electricity use of alternative fuel/vehicle systems simulated by the Powertrain System Analysis Toolkit (PSAT) to conduct a well-to-wheels (WTW) analysis of energy use and greenhouse gas (GHG) emissions of plug-in hybrid electric vehicles (PHEVs). The WTW results were separately calculated for the blended charge-depleting (CD) and charge-sustaining (CS) modes of PHEV operation and then combined by using a weighting factor that represented the CD vehicle-miles-traveled (VMT) share. As indicated by PSAT simulations of the CD operation, grid electricity accounted for a share of the vehicle's total energy use, ranging from 6% for a PHEV 10 to 24% for a PHEV 40, based on CD VMT shares of 23% and 63%, respectively. In addition to the PHEV's fuel economy and type of on-board fuel, the marginal electricity generation mix used to charge the vehicle impacted the WTW results, especially GHG emissions. Three North American Electric Reliability Corporation regions (4, 6, and 13) were selected for this analysis, because they encompassed large metropolitan areas (Illinois, New York, and California, respectively) and provided a significant variation of marginal generation mixes. The WTW results were also reported for the U.S. generation mix and renewable electricity to examine cases of average and clean mixes, respectively. For an all-electric range (AER) between 10 mi and 40 mi, PHEVs that employed petroleum fuels (gasoline and diesel), a blend of 85% ethanol and 15% gasoline (E85), and hydrogen were shown to offer a 40-60%, 70-90%, and more than 90% reduction in petroleum energy use and a 30-60%, 40-80%, and 10-100% reduction in GHG emissions, respectively, relative to an internal combustion engine vehicle that used gasoline. The spread of WTW GHG emissions among the different fuel production

  17. A robust flexible-probabilistic programming method for planning municipal energy system with considering peak-electricity price and electric vehicle

    International Nuclear Information System (INIS)

    Yu, L.; Li, Y.P.; Huang, G.H.; An, C.J.

    2017-01-01

    Highlights: • A robust flexible probabilistic programming method is developed for planning MES. • Multiple uncertainties with various violations and satisfaction levels are examined. • Solutions of considering peak electricity prices and electric vehicles are analyzed. • RFPP-MES can better improve energy system reliability and abate pollutant emission. - Abstract: Effective electric power systems (EPS) planning with considering electricity price of 24-h time is indispensable in terms of load shifting, pollutant mitigation and energy demand-supply reliability as well as reducing electricity expense of end-users. In this study, a robust flexible probabilistic programming (RFPP) method is developed for planning municipal energy system (MES) with considering peak electricity prices (PEPs) and electric vehicles (EVs), where multiple uncertainties regarded as intervals, probability distributions and flexibilities as well as their combinations can be effectively reflected. The RFPP-MES model is then applied to planning Qingdao’s MES, where electrical load of 24-h time is simulated based on Monte Carlo. Results reveal that: (a) different time intervals lead to changes of energy supply patterns, the energy supply patterns would tend to the transition from self-supporting dominated (i.e. in valley hours) to outsourcing-dominated (i.e. in peak hours); (b) 15.9% of total imported electricity expense would be reduced compared to that without considering PEPs; (c) with considering EVs, the CO_2 emissions of Qingdao’s transportation could be reduced directly and the reduction rate would be 2.5%. Results can help decision makers improve energy supply patterns, reduce energy system costs and abate pollutant emissions as well as adjust end-users’ consumptions.

  18. Sustainable Federal Fleets: Deploying Electric Vehicles and Electric Vehicle Supply Equipment

    Energy Technology Data Exchange (ETDEWEB)

    2017-01-01

    The U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) helps federal agencies reduce petroleum consumption and increase alternative fuel use through its resources for Sustainable Federal Fleets. To assist agencies with the transition to plug-in electric vehicles (PEVs), including battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs), FEMP offers technical guidance on electric vehicle supply equipment (EVSE) installations and site-specific planning through partnerships with the National Renewable Energy Laboratory's (NREL's) EVSE Tiger Teams.

  19. Wind power integration with heat pumps, heat storages, and electric vehiclesEnergy systems analysis and modelling

    DEFF Research Database (Denmark)

    Hedegaard, Karsten

    The fluctuating and only partly predictable nature of wind challenges an effective integration of large wind power penetrations. This PhD thesis investigates to which extent heat pumps, heat storages, and electric vehicles can support the integration of wind power. Considering the gaps in existing...... in an energy system context. Energy systems analyses reveal that the heat pumps can even without flexible operation contribute significantly to facilitating larger wind power investments and reducing system costs, fuel consumption, and CO2 emissions. When equipping the heat pumps with heat storages, only...... moderate additional benefits are achieved. Hereof, the main benefit is that the need for investing in peak/reserve capacities can be reduced through peak load shaving. It is more important to ensure flexible operation of electric vehicles than of individual heat pumps, due to differences in the load...

  20. Multi-objective component sizing based on optimal energy management strategy of fuel cell electric vehicles

    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.

  1. On the Suitability of Interleaved Switched Capacitor Converter as an Interface for Electric Vehicle Dual Energy Storage Systems

    Energy Technology Data Exchange (ETDEWEB)

    Amjadi, Zahra; Williamson, Sheldon

    2010-09-15

    This paper presents the analysis and novel hybrid controller design for an interleaved 2-quadrant switched capacitor (SC) bidirectional DC/DC converter for a hybrid electric vehicle (HEV) dual energy storage system. The designed novel control strategy enables simpler dynamics compared to a standard buck converter with input filter, good regulation capability, low EMI, lower source current ripple, ease of control, and continuous input current waveform in both buck as well as boost modes of operation.

  2. Analysing urban planning implications from an electric vehicles scenario for urban structure-, transport- and energy-systems

    Energy Technology Data Exchange (ETDEWEB)

    Rid, Wolfgang [Stuttgart Univ. (Germany). Lehrstuhl Stadtplanung und Entwerfen; Fachhochschule Erfurt (Germany). Fachgebiet Stadt- und Regionaloekonomie; Pesch, Franz; Wewer, Max; Sperle, Tilman [Stuttgart Univ. (Germany). Lehrstuhl Stadtplanung und Entwerfen

    2013-06-01

    Depending on scenarios of actual electric vehicles on the road, ''electric mobility'' will heavily affect urban planning and infrastructure. We analyze these effects by developing an ''urban typology for electro-mobility''. By doing so, we seek to demonstrate that both requirements from electric vehicle scenarios (infrastructure, on-site provision of renewable energy etc.) and potential benefits (noise-reduction, NOx-reduction, modal-split etc.) are dependent on the urban context. The typology was developed according to preliminary studies' results recommending to use the GFZ (Gross Floor Area) and residential density to describe different types of urban structure, but additionally makes use of the proportion of public space and number of resident families (per ha net residential area) to extract five different ''urban types for electro-mobility''. Electro-mobility will have a significant climate effect only if 'green' electric power production is able to provide the additional amount of renewable energy needed. On-site power plants must be further developed to reduce externalities from large scale power plants providing C02-free energy (e.g. externalities from offshore wind energy plants). The potential to produce renewable energy from on-site power plants is dependent on the type of the urban context: Advanced ''plus-energy-concepts'' for example, today, are restricted to building scales of low-density residential zones, whereas in inner city zones, buildings have to provide energy for far more people per floorspace or for cooling purposes, as well. On-site renewable energy plants should be placed in urban settings, where they can work most efficiently and where they can be best integrated into the urban context given, hence, electro-mobility needs to be viewed from an urban perspective. Many other projects, so far, have investigated technical solutions to improve

  3. Plug-in Hybrid and Battery-Electric Vehicles: State of the research and development and comparative analysis of energy and cost efficiency

    OpenAIRE

    Francoise Nemry; Guillaume Leduc; Almudena Muñoz

    2009-01-01

    This technical note is a first contribution from IPTS to a JRC more integrated assessment of future penetration pathways of new vehicles technologies in the EU27 market and of their impacts on energy security, GHG emissions and on the economy. The present report focuses on battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). It provides a general overview of the current state of the research and development about the concerned technologies and builds some first estim...

  4. An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data

    OpenAIRE

    Recker, W. W.; Kang, J. E.

    2010-01-01

    With the success of Hybrid Electric Vehicles (HEVs) in the automobile market, Plug-In Hybrid Electric Vehicles (PHEVs) are emerging as the next evolution of this attractive alternative. PHEV market penetration is expected to lead to lower gasoline consumption and less emission. The main objective of this research is to assess PHEVs’ energy profile impacts based on simulation of vehicles used in activity and travel patterns drawn from the 2000-2001 California Statewide Household Travel Survey....

  5. Development of electric vehicles use in China: A study from the perspective of life-cycle energy consumption and greenhouse gas emissions

    International Nuclear Information System (INIS)

    Zhou, Guanghui; Ou, Xunmin; Zhang, Xiliang

    2013-01-01

    China has promoted the use of electric vehicles vigorously since 2009; the program is still in its pilot phase. This study investigates the development of electric vehicle use in China from the perspectives of energy consumption and greenhouse-gas (GHG) emissions. Energy consumption and GHG emissions of plug-in hybrid electric vehicles (PHEVs) and pure battery electric vehicles (BEVs) are examined on the level of the regional power grid in 2009 through comparison with the energy consumption and GHG emissions of conventional gasoline internal combustion engine vehicles. The life-cycle analysis module in Tsinghua-LCAM, which is based on the GREET platform, is adopted and adapted to the life-cycle analysis of automotive energy pathways in China. Moreover, medium term (2015) and long term (2020) energy consumption and greenhouse-gas emissions of PHEVs and BEVs are projected, in accordance with the expected development target in the Energy Efficient and Alternative Energy Vehicles Industry Development Plan (2012–2020) for China. Finally, policy recommendations are provided for the proper development of electric vehicle use in China. - Highlights: • There was a marked difference in energy saving and GHG emission reduction for EVs powered by regional grids in China. • Energy saving and GHG emission reduction from EVs development will be more obvious in China in future. • EVs development will benefit the strategy of oil/ petroleum substitute in China

  6. Going Green with Electric Vehicles

    Science.gov (United States)

    Deal, Walter F., III

    2010-01-01

    There is considerable interest in electric and hybrid cars because of environmental and climate change concerns, tougher fuel efficiency standards, and increasing dependence on imported oil. In this article, the author describes the history of electric vehicles in the automotive world and discusses the components of a hybrid electric vehicle.…

  7. Effect of energy-regenerative braking on electric vehicle battery thermal management and control method based on simulation investigation

    International Nuclear Information System (INIS)

    Huang, Jingying; Qin, Datong; Peng, Zhiyuan

    2015-01-01

    Highlights: • A two-degree-of-freedom lumped thermal model is developed for battery. • The battery thermal model is integrated with vehicle driving model. • Real-time battery thermal responses is obtained. • Active control of current by regenerative braking ratio adjustment is proposed. • More energy is recovered with smaller battery temperature rise. - Abstract: Battery thermal management is important for the safety and reliability of electric vehicle. Based on the parameters obtained from battery hybrid pulse power characterization test, a two-degree-of-freedom lumped thermal model is established. The battery model is then integrated with vehicle driving model to simulate real-time battery thermal responses. An active control method is proposed to reduce heat generation due to regenerative braking. The proposed control method not only subjects to the braking safety regulation, but also adjusts the regenerative braking ratio through a fuzzy controller. By comparing with other regenerative braking scenarios, the effectiveness of the proposed strategy has been validated. According to the results, the proposed control strategy suppresses battery temperature rise by modifying the charge current due to regenerative braking. The overlarge components of current are filtered out whereas the small ones are magnified. Therefore, with smaller battery temperature rise, more energy is recovered. Compared to the traditional passive heat dissipating, the proposed active methodology is feasible and provides a novel solution for electric vehicle battery thermal management.

  8. Plug-In Electric Vehicle Handbook for Consumers (Spanish Version); Clean Cities, Energy Efficiency & Renewable Energy (EERE)

    Energy Technology Data Exchange (ETDEWEB)

    None

    2015-08-01

    This is a Spanish-language handbook designed to answer a consumer's basic questions, as well as point them to additional information they need, to make the best decision about whether an electric-drive vehicle is right for them.

  9. U.S. Department of Energy Vehicle Technologies Program -- Advanced Vehicle Testing Activity -- Plug-in Hybrid Electric Vehicle Charging Infrastructure Review

    Energy Technology Data Exchange (ETDEWEB)

    Kevin Morrow; Donald Darner; James Francfort

    2008-11-01

    Plug-in hybrid electric vehicles (PHEVs) are under evaluation by various stake holders to better understand their capability and potential benefits. PHEVs could allow users to significantly improve fuel economy over a standard HEV and in some cases, depending on daily driving requirements and vehicle design, have the ability to eliminate fuel consumption entirely for daily vehicle trips. The cost associated with providing charge infrastructure for PHEVs, along with the additional costs for the on-board power electronics and added battery requirements associated with PHEV technology will be a key factor in the success of PHEVs. This report analyzes the infrastructure requirements for PHEVs in single family residential, multi-family residential and commercial situations. Costs associated with this infrastructure are tabulated, providing an estimate of the infrastructure costs associated with PHEV deployment.

  10. Fast Charging and Smart Charging Tests for Electric Vehicles Batteries Using Renewable Energy

    DEFF Research Database (Denmark)

    Forero Camacho, Oscar Mauricio; Mihet-Popa, Lucian

    2016-01-01

    Electric Vehicles (EV) technologies are still relatively new and under strong development. Although some standardized solutions are being promoted and becoming a new trend, there is an outstanding need for common platforms and sharing of knowledge and core technologies. This paper presents......, and forced and pulsed power. The aim of the tests has been to study the impact of smart charging and fast charging on the power system, on the battery state of health and degradation, and to find out the limitations of the batteries for a Smart Grid. The paper outlines the advantages and disadvantages...

  11. Solar-coupled electric vehicles

    International Nuclear Information System (INIS)

    Buchheim, R.

    1993-01-01

    Electric cars must have the same safety standards as those which are now state of the art for the compact class of car. Electric vehicles should substitute for conventional vehicles and should not lead to an increase in the stock of vehicles. The current subject of 'side impact protection' shows that design measures are necessary for this, which cannot be achieved in the smallest vehicles. (orig.) [de

  12. Stochastic scheduling of local distribution systems considering high penetration of plug-in electric vehicles and renewable energy sources

    International Nuclear Information System (INIS)

    Tabatabaee, Sajad; Mortazavi, Seyed Saeedallah; Niknam, Taher

    2017-01-01

    This paper investigates the optimal scheduling of electric power units in the renewable based local distribution systems considering plug-in electric vehicles (PEVs). The appearance of PEVs in the electric grid can create new challenges for the operation of distributed generations and power units inside the network. In order to deal with this issue, a new stochastic optimization method is devised to let the central controll manage the power units and charging behavior of PEVs. The problem formulation aims to minimize the total cost of the network including the cost of power supply for loads and PEVs as well as the cost of energy not supplied (ENS) as the reliability costs. In order to make PEVs as opportunity for the grid, the vehicle-2-grid (V2G) technology is employed to reduce the operational costs. To model the high uncertain behavior of wind turbine, photovoltaics and the charging and discharging pattern of PEVs, a new stochastic power flow based on unscented transform is proposed. Finally, a new optimization algorithm based on bat algorithm (BA) is proposed to solve the problem optimally. The satisfying performance of the proposed stochastic method is tested on a grid-connected local distribution system. - Highlights: • Introduction of stochastic method to assess Plug-in Electric Vehicles effects on the microgrid. • Assessing the role of V2G technology on battery aging and degradation costs. • Use of BA for solving the proposed problem. • Introduction of a new modification method for the BA.

  13. In-use measurement of activity, energy use, and emissions of a plug-in hybrid electric vehicle.

    Science.gov (United States)

    Graver, Brandon M; Frey, H Christopher; Choi, Hyung-Wook

    2011-10-15

    Plug-in hybrid electric vehicles (PHEVs) could reduce transportation air emissions and energy use. However, a method is needed for estimating on-road emissions of PHEVs. To develop a framework for quantifying microscale energy use and emissions (EU&E), measurements were conducted on a Toyota Prius retrofitted with a plug-in battery system on eight routes. Measurements were made using the following: (1) a data logger for the hybrid control system; (2) a portable emissions measurement system; and (3) a global positioning system with barometric altimeter. Trends in EU&E are estimated based on vehicle specific power. Energy economy is quantified based on gasoline consumed by the engine and grid energy consumed by the plug-in battery. Emissions from electricity consumption are estimated based on the power generation mix. Fuel use is approximately 30% lower during plug-in battery use. Grid emissions were higher for CO₂, NO(x), SO₂, and PM compared to tailpipe emissions but lower for CO and hydrocarbons. EU&E depends on engine and plug-in battery operation. The use of two energy sources must be addressed in characterizing fuel economy; overall energy economy is 11% lower if including grid energy use than accounting only for fuel consumption.

  14. At A Glance: Electric-Drive Vehicles

    Energy Technology Data Exchange (ETDEWEB)

    2016-07-01

    Electric-drive vehicles use electricity as their primary fuel or to improve the efficiency of conventional vehicle designs. With the range of styles and options available, there is likely one to meet your needs. The vehicles can be divided into three categories: 1) Hybrid electric vehicles (HEVs), 2) Plug-in hybrid electric vehicles (PHEVs), and 3) All-electric vehicles (EVs).

  15. At A Glance: Electric-Drive Vehicles

    Energy Technology Data Exchange (ETDEWEB)

    None

    2016-07-13

    Electric-drive vehicles use electricity as their primary fuel or to improve the efficiency of conventional vehicle designs. With the range of styles and options available, there is likely one to meet your needs. The vehicles can be divided into three categories: 1) Hybrid electric vehicles (HEVs), 2) Plug-in hybrid electric vehicles (PHEVs), and 3) All-electric vehicles (EVs).

  16. Electric Vehicle and Wireless Charging Laboratory

    Science.gov (United States)

    2018-03-23

    Wireless charging tests of electric vehicles (EV) have been conducted at the EVTC Wireless Laboratory located at the Florida Solar Energy Center, Cocoa, FL. These tests were performed to document testing protocols, evaluate standards and evaluate ope...

  17. Research on Matching Method of Power Supply Parameters for Dual Energy Source Electric Vehicles

    Science.gov (United States)

    Jiang, Q.; Luo, M. J.; Zhang, S. K.; Liao, M. W.

    2018-03-01

    A new type of power source is proposed, which is based on the traffic signal matching method of the dual energy source power supply composed of the batteries and the supercapacitors. First, analyzing the power characteristics is required to meet the excellent dynamic characteristics of EV, studying the energy characteristics is required to meet the mileage requirements and researching the physical boundary characteristics is required to meet the physical conditions of the power supply. Secondly, the parameter matching design with the highest energy efficiency is adopted to select the optimal parameter group with the method of matching deviation. Finally, the simulation analysis of the vehicle is carried out in MATLABSimulink, The mileage and energy efficiency of dual energy sources are analyzed in different parameter models, and the rationality of the matching method is verified.

  18. Electric vehicle (EV) storage supply chain risk and the energy market: A micro and macroeconomic risk management approach

    Science.gov (United States)

    Aguilar, Susanna D.

    As a cost effective storage technology for renewable energy sources, Electric Vehicles can be integrated into energy grids. Integration must be optimized to ascertain that renewable energy is available through storage when demand exists so that cost of electricity is minimized. Optimization models can address economic risks associated with the EV supply chain- particularly the volatility in availability and cost of critical materials used in the manufacturing of EV motors and batteries. Supply chain risk can reflect itself in a shortage of storage, which can increase the price of electricity. We propose a micro-and macroeconomic framework for managing supply chain risk through utilization of a cost optimization model in combination with risk management strategies at the microeconomic and macroeconomic level. The study demonstrates how risk from the EVs vehicle critical material supply chain affects manufacturers, smart grid performance, and energy markets qualitatively and quantitatively. Our results illustrate how risk in the EV supply chain affects EV availability and the cost of ancillary services, and how EV critical material supply chain risk can be mitigated through managerial strategies and policy.

  19. Comparison between two braking control methods integrating energy recovery for a two-wheel front driven electric vehicle

    International Nuclear Information System (INIS)

    Itani, Khaled; De Bernardinis, Alexandre; Khatir, Zoubir; Jammal, Ahmad

    2016-01-01

    Highlights: • Comparison between two braking methods for an EV maximizing the energy recovery. • Wheels slip ratio control based on robust sliding mode and ECE R13 control methods. • Regenerative braking control strategy. • Energy recovery of a HESS with respect to road surface type and road condition. - Abstract: This paper presents the comparison between two braking methods for a two-wheel front driven Electric Vehicle maximizing the energy recovery on the Hybrid Energy Storage System. The first method consists in controlling the wheels slip ratio while braking using a robust sliding mode controller. The second method will be based on ECE R13H constraints for an M1 passenger vehicle. The vehicle model used for simulation is a simplified five degrees of freedom model. It is driven by two 30 kW permanent magnet synchronous motor (PMSM) recovering energy during braking phases. Several simulation results for extreme braking conditions will be performed and compared on various road type surfaces using Matlab/Simulink®. For an initial speed of 80 km/h, simulation results demonstrate that the difference of energy recovery efficiency between the two control braking methods is beneficial to the ECE constraints control method and it can vary from 3.7% for high friction road type to 11.2% for medium friction road type. At low friction road type, the difference attains 6.6% due to different reasons treated in the paper. The stability deceleration is also discussed and detailed.

  20. Tradeoffs between battery energy capacity and stochastic optimal power management in plug-in hybrid electric vehicles

    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)

  1. A comparative analysis of meta-heuristic methods for power management of a dual energy storage system for electric vehicles

    International Nuclear Information System (INIS)

    Trovão, João P.; Antunes, Carlos Henggeler

    2015-01-01

    Highlights: • Two meta-heuristic approaches are evaluated for multi-ESS management in electric vehicles. • An online global energy management strategy with two different layers is studied. • Meta-heuristic techniques are used to define optimized energy sharing mechanisms. • A comparative analysis for ARTEMIS driving cycle is addressed. • The effectiveness of the double-layer management with meta-heuristic is presented. - Abstract: This work is focused on the performance evaluation of two meta-heuristic approaches, simulated annealing and particle swarm optimization, to deal with power management of a dual energy storage system for electric vehicles. The proposed strategy is based on a global energy management system with two layers: long-term (energy) and short-term (power) management. A rule-based system deals with the long-term (strategic) layer and for the short-term (action) layer meta-heuristic techniques are developed to define optimized online energy sharing mechanisms. Simulations have been made for several driving cycles to validate the proposed strategy. A comparative analysis for ARTEMIS driving cycle is presented evaluating three performance indicators (computation time, final value of battery state of charge, and minimum value of supercapacitors state of charge) as a function of input parameters. The results show the effectiveness of an implementation based on a double-layer management system using meta-heuristic methods for online power management supported by a rule set that restricts the search space

  2. A hybrid simulated annealing approach to handle energy resource management considering an intensive use of electric vehicles

    DEFF Research Database (Denmark)

    Sousa, Tiago; Vale, Zita; Carvalho, Joao Paulo

    2014-01-01

    The massification of electric vehicles (EVs) can have a significant impact on the power system, requiring a new approach for the energy resource management. The energy resource management has the objective to obtain the optimal scheduling of the available resources considering distributed...... to determine the best solution in a reasonable amount of time. This paper presents a hybrid artificial intelligence technique to solve a complex energy resource management problem with a large number of resources, including EVs, connected to the electric network. The hybrid approach combines simulated...... annealing (SA) and ant colony optimization (ACO) techniques. The case study concerns different EVs penetration levels. Comparisons with a previous SA approach and a deterministic technique are also presented. For 2000 EVs scenario, the proposed hybrid approach found a solution better than the previous SA...

  3. Electrical Vehicles Activities Around the World

    DEFF Research Database (Denmark)

    Schauer, Gerd; Garcia-Valle, Rodrigo

    2013-01-01

    engine. In the 1990s research and demonstrations intensified and built a good basis for actual development of electrical vehicles. Discussion of the results achieved and lessons learned from millions of kilometers of road testing is worthwhile but in addition to technological developments such as light...... which have jointly changed how mobility is viewed in recent years. We describe key points concerning such field testing and the renaissance in electric vehicles that occurred around 2010. We discuss progress in lithium battery technology for high power and high energy density, improvement in integrated...... business models, and the availability of high-performance electric vehicles have become key enablers of this new technology. In this regard, it is promising that electric vehicles will soon be a part of a green transport solution (green mobility) powered by renewable energy and a new smart electricity...

  4. 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)

  5. Comparative Study of Dynamic Programming and Pontryagin’s Minimum Principle on Energy Management for a Parallel Hybrid Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Huei Peng

    2013-04-01

    Full Text Available This paper compares two optimal energy management methods for parallel hybrid electric vehicles using an Automatic Manual Transmission (AMT. A control-oriented model of the powertrain and vehicle dynamics is built first. The energy management is formulated as a typical optimal control problem to trade off the fuel consumption and gear shifting frequency under admissible constraints. The Dynamic Programming (DP and Pontryagin’s Minimum Principle (PMP are applied to obtain the optimal solutions. Tuning with the appropriate co-states, the PMP solution is found to be very close to that from DP. The solution for the gear shifting in PMP has an algebraic expression associated with the vehicular velocity and can be implemented more efficiently in the control algorithm. The computation time of PMP is significantly less than DP.

  6. Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation.

    Directory of Open Access Journals (Sweden)

    Zehui Kong

    Full Text Available To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement learning (RL-based real-time energy management strategy is developed in this paper. In order to utilize the statistical characteristics of online driving schedule effectively, a recursive algorithm for the transition probability matrix (TPM of power-request is derived. The reinforcement learning (RL is applied to calculate and update the control policy at regular time, adapting to the varying driving conditions. A facing-forward powertrain model is built in detail, including the engine-generator model, battery model and vehicle dynamical model. The robustness and adaptability of real-time energy management strategy are validated through the comparison with the stationary control strategy based on initial transition probability matrix (TPM generated from a long naturalistic driving cycle in the simulation. Results indicate that proposed method has better fuel economy than stationary one and is more effective in real-time control.

  7. Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation.

    Science.gov (United States)

    Kong, Zehui; Zou, Yuan; Liu, Teng

    2017-01-01

    To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement learning (RL)-based real-time energy management strategy is developed in this paper. In order to utilize the statistical characteristics of online driving schedule effectively, a recursive algorithm for the transition probability matrix (TPM) of power-request is derived. The reinforcement learning (RL) is applied to calculate and update the control policy at regular time, adapting to the varying driving conditions. A facing-forward powertrain model is built in detail, including the engine-generator model, battery model and vehicle dynamical model. The robustness and adaptability of real-time energy management strategy are validated through the comparison with the stationary control strategy based on initial transition probability matrix (TPM) generated from a long naturalistic driving cycle in the simulation. Results indicate that proposed method has better fuel economy than stationary one and is more effective in real-time control.

  8. Vehicle-to-Grid Power in Danish Electric Power Systems

    DEFF Research Database (Denmark)

    Pillai, Jayakrishnan Radhakrishna; Bak-Jensen, Birgitte

    2009-01-01

    The integration of renewable energy systems is often constrained by the variable nature of their output. This demands for the services of storing the electricity generated from most of the renewable energy sources. Vehicle-to-grid (V2G) power could use the inherent energy storage of electric...... vehicles and its quick response time to balance and stabilize a power system with fluctuating power. This paper outlines the use of battery electric vehicles in supporting large-scale integration of renewable energy in the Danish electric power systems. The reserve power requirements for a high renewable...... energy penetration could be met by an amount of V2G based electric vehicles less than 10% of the total vehicle need in Denmark. The participation of electric vehicle in ancillary services would earn significant revenues to the vehicle owner. The power balancing services of electric vehicles...

  9. Fuel cell electric vehicle as a power plant : Fully renewable integrated transport and energy system design and analysis for smart city areas

    NARCIS (Netherlands)

    Oldenbroek, V.D.W.M.; Verhoef, L.A.; van Wijk, A.J.M.

    2017-01-01

    Reliable and affordable future zero emission power, heat and transport systems require efficient and versatile energy storage and distribution systems. This paper answers the question whether for city areas, solar and wind electricity together with fuel cell electric vehicles as energy generators

  10. Electric and Hybrid Vehicle Technology: TOPTEC

    Energy Technology Data Exchange (ETDEWEB)

    1992-01-01

    Today, growing awareness of environmental and energy issues associated with the automobile has resulted in renewed interest in the electric vehicle. In recognition of this, the Society of Automotive Engineers has added a TOPTEC on electric vehicles to the series of technical symposia focused on key issues currently facing industry and government. This workshop on the Electric and Hybrid Vehicle provides an opportunity to learn about recent progress in these rapidly changing technologies. Research and development of both the vehicle and battery system has accelerated sharply and in fact, the improved technologies of the powertrain system make the performance of today's electric vehicle quite comparable to the equivalent gasoline vehicle, with the exception of driving range between refueling'' stops. Also, since there is no tailpipe emission, the electric vehicle meets the definition of Zero Emission Vehicle: embodied in recent air quality regulations. The discussion forum will include a review of the advantages and limitations of electric vehicles, where the technologies are today and where they need to be in order to get to production level vehicles, and the service and maintenance requirements once they get to the road. There will be a major focus on the status of battery technologies, the various approaches to recharge of the battery systems and the activities currently underway for developing standards throughout the vehicle and infrastructure system. Intermingled in all of this technology discussion will be a view of the new relationships emerging between the auto industry, the utilities, and government. Since the electric vehicle and its support system will be the most radical change ever introduced into the private vehicle sector of the transportation system, success in the market requires an understanding of the role of all of the partners, as well as the new technologies involved.

  11. Electric and Hybrid Vehicle Technology: TOPTEC

    Energy Technology Data Exchange (ETDEWEB)

    1992-12-01

    Today, growing awareness of environmental and energy issues associated with the automobile has resulted in renewed interest in the electric vehicle. In recognition of this, the Society of Automotive Engineers has added a TOPTEC on electric vehicles to the series of technical symposia focused on key issues currently facing industry and government. This workshop on the Electric and Hybrid Vehicle provides an opportunity to learn about recent progress in these rapidly changing technologies. Research and development of both the vehicle and battery system has accelerated sharply and in fact, the improved technologies of the powertrain system make the performance of today`s electric vehicle quite comparable to the equivalent gasoline vehicle, with the exception of driving range between ``refueling`` stops. Also, since there is no tailpipe emission, the electric vehicle meets the definition of ``Zero Emission Vehicle: embodied in recent air quality regulations. The discussion forum will include a review of the advantages and limitations of electric vehicles, where the technologies are today and where they need to be in order to get to production level vehicles, and the service and maintenance requirements once they get to the road. There will be a major focus on the status of battery technologies, the various approaches to recharge of the battery systems and the activities currently underway for developing standards throughout the vehicle and infrastructure system. Intermingled in all of this technology discussion will be a view of the new relationships emerging between the auto industry, the utilities, and government. Since the electric vehicle and its support system will be the most radical change ever introduced into the private vehicle sector of the transportation system, success in the market requires an understanding of the role of all of the partners, as well as the new technologies involved.

  12. Electric and hybrid vehicle technology: TOPTEC

    Science.gov (United States)

    Today, growing awareness of environmental and energy issues associated with the automobile has resulted in renewed interest in the electric vehicle. In recognition of this, the Society of Automotive Engineers has added a TOPTEC on electric vehicles to the series of technical symposia focused on key issues currently facing industry and government. This workshop on the Electric and Hybrid Vehicle provides an opportunity to learn about recent progress in these rapidly changing technologies. Research and development of both the vehicle and battery system has accelerated sharply and in fact, the improved technologies of the powertrain system make the performance of today's electric vehicle quite comparable to the equivalent gasoline vehicle, with the exception of driving range between 'refueling' stops. Also, since there is no tailpipe emission, the electric vehicle meets the definition of 'Zero Emission Vehicle: embodied in recent air quality regulations. The discussion forum will include a review of the advantages and limitations of electric vehicles, where the technologies are today and where they need to be in order to get to production level vehicles, and the service and maintenance requirements once they get to the road. There will be a major focus on the status of battery technologies, the various approaches to recharge of the battery systems and the activities currently underway for developing standards throughout the vehicle and infrastructure system. Intermingled in all of this technology discussion will be a view of the new relationships emerging between the auto industry, the utilities, and government. Since the electric vehicle and its support system will be the most radical change ever introduced into the private vehicle sector of the transportation system, success in the market requires an understanding of the role of all of the partners, as well as the new technologies involved.

  13. Design and Validation of Real-Time Optimal Control with ECMS to Minimize Energy Consumption for Parallel Hybrid Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Aiyun Gao

    2017-01-01

    Full Text Available A real-time optimal control of parallel hybrid electric vehicles (PHEVs with the equivalent consumption minimization strategy (ECMS is presented in this paper, whose purpose is to achieve the total equivalent fuel consumption minimization and to maintain the battery state of charge (SOC within its operation range at all times simultaneously. Vehicle and assembly models of PHEVs are established, which provide the foundation for the following calculations. The ECMS is described in detail, in which an instantaneous cost function including the fuel energy and the electrical energy is proposed, whose emphasis is the computation of the equivalent factor. The real-time optimal control strategy is designed through regarding the minimum of the total equivalent fuel consumption as the control objective and the torque split factor as the control variable. The validation of the control strategy proposed is demonstrated both in the MATLAB/Simulink/Advisor environment and under actual transportation conditions by comparing the fuel economy, the charge sustainability, and parts performance with other three control strategies under different driving cycles including standard, actual, and real-time road conditions. Through numerical simulations and real vehicle tests, the accuracy of the approach used for the evaluation of the equivalent factor is confirmed, and the potential of the proposed control strategy in terms of fuel economy and keeping the deviations of SOC at a low level is illustrated.

  14. United States Department of Energy`s electric and hybrid vehicle site operator program. Final report, April 1991--September 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-11-06

    Drivers in San Juan County, which, is comprised of islands making for short distances on rural (low speed limits) roads, found that present day electric vehicle technology can work in certain applications. An honest, accurate appraisal of the expectations of the vehicle is essential. When needs and capabilities are able to match up, then successful ownership and operation can occur. Today`s EV technology can accomplish certain driving tasks. Careful, honest analysis what is expected of the car can lead to a rewarding EV driving experience. Providing recharge locations in the community proved essential of the peace of mind of the EV driver. Since heating and air conditioning represent electric loads whose reduces range, a moderate to warm year round climate is best for today`s EV. Also, even limited solar recharging has been determined to improve battery pack life.

  15. Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling

    International Nuclear Information System (INIS)

    Heymans, Catherine; Walker, Sean B.; Young, Steven B.; Fowler, Michael

    2014-01-01

    The reuse of Li-ion EV batteries for energy storage systems (ESS) in stationary settings is a promising technology to support improved management of demand and supply of electricity. In this paper, MatLAB simulation of a residential energy profile and regulated cost structure is used to analyze the feasibility of and cost savings from repurposing an EV battery unit for peak-shifting. in situ residential energy storage can contribute to the implementation of a smart grid by supporting the reduction of demand during typical peak use periods. Use of an ESS increases household energy use but potentially improves economic effectiveness and reduces greenhouse gas emissions. The research supports the use of financial incentives for Li-ion battery reuse in ESS, including lower energy rates and reduced auxiliary fees. - Highlights: • EV Li-ion batteries can be reused in stationary energy storage systems (ESS). • A single ESS can shift 2 to 3 h of electricity used in a house. • While energy use increases, potential economic and environmental effectiveness improve. • ESS supports smart grid objectives. • Incentives like reduced fees are needed to encourage implementation of Li-ion battery ESS

  16. Online Energy Management of Plug-In Hybrid Electric Vehicles for Prolongation of All-Electric Range Based on Dynamic Programming

    Directory of Open Access Journals (Sweden)

    Zeyu Chen

    2015-01-01

    Full Text Available The employed energy management strategy plays an important role in energy saving performance and exhausted emission reduction of plug-in hybrid electric vehicles (HEVs. An application of dynamic programming for optimization of power allocation is implemented in this paper with certain driving cycle and a limited driving range. Considering the DP algorithm can barely be used in real-time control because of its huge computational task and the dependence on a priori driving cycle, several online useful control rules are established based on the offline optimization results of DP. With the above efforts, an online energy management strategy is proposed finally. The presented energy management strategy concerns the prolongation of all-electric driving range as well as the energy saving performance. A simulation study is deployed to evaluate the control performance of the proposed energy management approach. All-electric range of the plug-in HEV can be prolonged by up to 2.86% for a certain driving condition. The energy saving performance is relative to the driving distance. The presented energy management strategy brings a little higher energy cost when driving distance is short, but for a long driving distance, it can reduce the energy consumption by up to 5.77% compared to the traditional CD-CS strategy.

  17. Electric Vehicles and the Customers

    DEFF Research Database (Denmark)

    Christensen, Linda

    2011-01-01

    This report is analysing the potential travel behaviour of electric vehicles (EVs) and the need for charging infrastructure which can be derived from the behaviour.......This report is analysing the potential travel behaviour of electric vehicles (EVs) and the need for charging infrastructure which can be derived from the behaviour....

  18. An integrated optimization approach for a hybrid energy system in electric vehicles

    International Nuclear Information System (INIS)

    Hung, Yi-Hsuan; Wu, Chien-Hsun

    2012-01-01

    Highlights: ► Second-order control-oriented dynamics for a battery/supercapacitor EV is modeled. ► Multiple for-loop programming and global searchwith constraints are main design principles of integrated optimization algorithm (IOA). ► Optimal hybridization is derived based on maximizing energy storage capacity. ► Optimal energy management in three EV operation modes is searched based on minimizing total consumed power. ► Simulation results prove that 6+% of total energy is saved by the IOA method. -- Abstract: This paper develops a simple but innovative integrated optimization approach (IOA) for deriving the best solutions of component sizing and control strategies of a hybrid energy system (HES) which consists of a lithium battery and a supercapacitor module. To implement IOA, a multiple for-loop structure with a preset cost function is needed to globally calculate the best hybridization and energy management of the HES. For system hybridization, the optimal size ratio is evaluated by maximizing the HES energy stored capacity at various costs. For energy management, the optimal power distribution combined with a three-mode rule-based strategy is searched to minimize the total consumed energy. Combining above two for-loop structures and giving a time-dependent test scenario, the IOA is derived by minimizing the accumulated HES power. Simulation results show that 6% of the total HES energy can be saved in the IOA case compared with the original system in two driving cycles: ECE and UDDS, and two vehicle weights, respectively. It proves that the IOA effectively derives the maximum energy storage capacity and the minimum energy consumption of the HES at the same time. Experimental verification will be carried out in the near future.

  19. Integration of plug-in hybrid electric vehicles (PHEV) with grid connected residential photovoltaic energy systems

    Science.gov (United States)

    Nagarajan, Adarsh; Shireen, Wajiha

    2013-06-01

    This paper proposes an approach for integrating Plug-In Hybrid Electric Vehicles (PHEV) to an existing residential photovoltaic system, to control and optimize the power consumption of residential load. Control involves determining the source from which residential load will be catered, where as optimization of power flow reduces the stress on the grid. The system built to achieve the goal is a combination of the existing residential photovoltaic system, PHEV, Power Conditioning Unit (PCU), and a controller. The PCU involves two DC-DC Boost Converters and an inverter. This paper emphasizes on developing the controller logic and its implementation in order to accommodate the flexibility and benefits of the proposed integrated system. The proposed controller logic has been simulated using MATLAB SIMULINK and further implemented using Digital Signal Processor (DSP) microcontroller, TMS320F28035, from Texas Instruments

  20. Intelligent Control Of An Electric Vehicle ICEV

    Directory of Open Access Journals (Sweden)

    Taoufik Chaouachi

    2017-01-01

    Full Text Available The electric vehicle allows fast gentle quiet and environmentally friendly movements in industrial and urban environments. The automotive industry has seen the opportunity to revive its production by replacing existing vehicles due to the reluctance of oil reserves around the world. In order to greatly reduce countries dependence on oil strategic sectors such as transport must increasingly integrate technologies based primarily on clean and renewable energy. Governments must implement large-scale measures to equip themselves with electric vehicles and build large recharge networks. The traditional system for conversions of conventional vehicles into electric vehicles consists of replacing the internal combustion engine and the gearbox with electrical components engine and gearbox or engine and gearbox retaining the rest of the elements Transmission transmission shafts etc..

  1. Wind Energy Based Electric Vehicle Charging Stations Sitting. A GIS/Wind Resource Assessment Approach

    Directory of Open Access Journals (Sweden)

    George Xydis

    2015-11-01

    Full Text Available The transportation sector is severely correlated with major problems in environment, citizens’ health, climate and economy. Issues such as traffic, fuel cost and parking space have make life more difficult, especially in the dense urban environment. Thus, there is a great need for the development of the electric vehicle (EV sector. The number of cars in cities has increased so much that the current transportation system (roads, parking places, traffic lights, etc. cannot accommodate them properly. The increasing number of vehicles does not affect only humans but also the environment, through air and noise pollution. According to EPA, the 39.2% of total gas emissions in 2007 was caused by transportation activities. Studies have shown that the pollutants are not only gathered in the major roads and/or highways but can travel depending on the meteorological conditions leading to generic pollution. The promotion of EVs and the charging stations are both equally required to be further developed in order EVs to move out of the cities and finally confront the range problem. In this work, a wind resource and a GIS analysis optimizes in a wider area the sitting of wind based charging stations and proposes an optimizing methodology.

  2. An electric vehicle dispatch module for demand-side energy participation

    International Nuclear Information System (INIS)

    Zhou, Bowen; Yao, Feng; Littler, Tim; Zhang, Huaguang

    2016-01-01

    Highlights: • Real-time measurement and assessment to calculate EV initial state-of-charge (SOC). • Flexible EV charging allocation using measured available time duration (ATD). • Owner participation using mobile phone apps and a new EV dispatch module. • Online algorithm for real-time calculation of maximum and minimum adjustable limits. • Business-trading models with data security, trending and commercial impacts of EV. - Abstract: The penetration of the electric vehicle (EV) has increased rapidly in recent years mainly as a consequence of advances in transport technology and power electronics and in response to global pressure to reduce carbon emissions and limit fossil fuel consumption. It is widely acknowledged that inappropriate provision and dispatch of EV charging can lead to negative impacts on power system infrastructure. This paper considers EV requirements and proposes a module which uses owner participation, through mobile phone apps and on-board diagnostics II (OBD-II), for scheduled vehicle charging. A multi-EV reference and single-EV real-time response (MRS2R) online algorithm is proposed to calculate the maximum and minimum adjustable limits of necessary capacity, which forms part of decision-making support in power system dispatch. The proposed EV dispatch module is evaluated in a case study and the influence of the mobile app, EV dispatch trending and commercial impact is explored.

  3. Implementation Scenarios for Electric Vehicle Roadway Wireless Power Transfer; NREL (National Renewable Energy Laboratory)

    Energy Technology Data Exchange (ETDEWEB)

    Meintz, A.; Markel, T.; Burton, E.; Wang, L.; Gonder, J.; Brooker, A.

    2015-06-05

    Analysis has been performed on the Transportation Secure Data Center (TSDC) warehouse of collected GPS second-by-second driving profile data of vehicles in the Atlanta, Chicago, Fresno, Kansas City, Los Angeles, Sacramento, and San Francisco Consolidated Statistical Areas (CSAs) to understand in-motion wireless power transfer introduction scenarios. In this work it has been shown that electrification of 1% of road miles could reduce fuel use by 25% for Hybrid Electric Vehicles (HEVs) in these CSAs. This analysis of strategically located infrastructure offers a promising approach to reduced fuel consumption; however, even the most promising 1% of road miles determined by these seven analysis scenarios still represent an impressive 2,700 miles of roadway to electrify. Therefore to mitigate the infrastructure capital costs, integration of the grid-tied power electronics in the Wireless Power Transfer (WPT) system at the DC-link to photovoltaic and/or battery storage is suggested. The integration of these resources would allow for the hardware to provide additional revenue through grid services at times of low traffic volumes and conversely at time of high traffic volumes these resources could reduce the peak demand that the WPT system would otherwise add to the grid.

  4. Integrated Vehicle Thermal Management - Combining Fluid Loops in Electric Drive Vehicles (Presentation)

    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.

  5. Effects of the introduction of electric vehicles and plug-in hybrids on sources of energy and the electricity grid; Auswirkungen der Markteinfuehrung von Elektrofahrzeugen und Plug-In-Hybrids auf die Energietraeger und das Elektrizitaetsnetz. Bericht

    Energy Technology Data Exchange (ETDEWEB)

    Rigassi, R.; Huber, S. [Enco AG, Liestal (Switzerland); Strub, P. [Pierre Strub - nachhaltig wirkt, Basel (Switzerland)

    2010-12-15

    This comprehensive final report for the Swiss federal Office of Energy (SFOE) discusses the effects of the introduction of electric vehicles and plug-in hybrids on sources of energy and the electricity grid. According to the authors, the introduction of electric drives in the automobile sector will cause no important additional consumption of electricity by 2035 for an expected percentage of around 25% of all vehicles being wholly or partly electrically powered; fossil fuel consumption can, however, be reduced by almost a quarter. The energy storage function of the batteries in electric vehicles can additionally be used to help integrate the high proportion of stochastically generated wind and solar power in the power grid. Energy and CO{sub 2} balances for electric vehicles and plug-in hybrids are discussed, as is the use of vehicle batteries as part of a 'vehicle-to-grid' system that can help regulate the electricity mains. The potential for using vehicles for the supply of regulating energy is looked at. Charge optimisation and mains feed-in are discussed. The ecological effects of this regulating function are examined in the European context. Relationships to other energy scenarios are presented and discussed. Finally, conclusions are drawn and recommendations are made. Questions still to be examined are listed.

  6. Power-Split Hybrid Electric Vehicle Energy Management Based on Improved Logic Threshold Approach

    Directory of Open Access Journals (Sweden)

    Zhumu Fu

    2013-01-01

    Full Text Available We design an improved logic threshold approach of energy management for a power-split HEV assisted by an integrated starter generator (ISG. By combining the efficiency map and the optimum torque curve of internal combustion engine (ICE with the state of charge (SOC of batteries, the improved logic threshold controller manages the ICE within its peak efficiency region at first. Then the electrical power demand is established based on the ICE energy output. On that premise, a variable logic threshold value K is defined to achieve the power distribution between the ISG and the electric motor/generator (EMG. Finally, simulation models for the power-split HEV with improved logic threshold controller are established in ADVISOR. Compared to the equally power-split HEV with the logic threshold controller, when using the improved logic threshold controller, the battery power consumption, the ICE efficiency, the fuel consumption, and the motor driving system efficiency are improved.

  7. Energy Management and Control of Plug-In Hybrid Electric Vehicle Charging Stations in a Grid-Connected Hybrid Power System

    Directory of Open Access Journals (Sweden)

    Sidra Mumtaz

    2017-11-01

    Full Text Available The charging infrastructure plays a key role in the healthy and rapid development of the electric vehicle industry. This paper presents an energy management and control system of an electric vehicle charging station. The charging station (CS is integrated to a grid-connected hybrid power system having a wind turbine maximum power point tracking (MPPT controlled subsystem, photovoltaic (PV MPPT controlled subsystem and a controlled solid oxide fuel cell with electrolyzer subsystem which are characterized as renewable energy sources. In this article, an energy management system is designed for charging and discharging of five different plug-in hybrid electric vehicles (PHEVs simultaneously to fulfil the grid-to-vehicle (G2V, vehicle-to-grid (V2G, grid-to-battery storage system (G2BSS, battery storage system-to-grid (BSS2G, battery storage system-to-vehicle (BSS2V, vehicle-to-battery storage system (V2BSS and vehicle-to-vehicle (V2V charging and discharging requirements of the charging station. A simulation test-bed in Matlab/Simulink is developed to evaluate and control adaptively the AC-DC-AC converter of non-renewable energy source, DC-DC converters of the storage system, DC-AC grid side inverter and the converters of the CS using adaptive proportional-integral-derivate (AdapPID control paradigm. The effectiveness of the AdapPID control strategy is validated through simulation results by comparing with conventional PID control scheme.

  8. Energy harvesting water vehicle

    KAUST Repository

    Singh, Devendra

    2018-01-01

    An efficient energy harvesting (EEH) water vehicle is disclosed. The base of the EEH water vehicle is fabricated with rolling cylindrical drums that can rotate freely in the same direction of the water medium. The drums reduce the drag

  9. California Statewide Plug-In Electric Vehicle Infrastructure Assessment

    Energy Technology Data Exchange (ETDEWEB)

    Melaina, Marc; Helwig, Michael

    2014-05-01

    The California Statewide Plug-In Electric Vehicle Infrastructure Assessment conveys to interested parties the Energy Commission’s conclusions, recommendations, and intentions with respect to plug-in electric vehicle (PEV) infrastructure development. There are several relatively low-risk and high-priority electric vehicle supply equipment (EVSE) deployment options that will encourage PEV sales and

  10. Analysis of electric vehicles measurements

    NARCIS (Netherlands)

    Vonk, B.M.J.; Geldtmeijer, D.A.M.; Slootweg, J.G.

    2013-01-01

    Electric vehicles are expected to have a significant impact on electricity grids. Intelligent charging strategies are suggested by literature and tested in the field to prevent overloading of network assets in electricity grids by using the flexibility of electro-mobility. This paper covers an

  11. Long-term energy planning of Croatian power system using multi-objective optimization with focus on renewable energy and integration of electric vehicles

    International Nuclear Information System (INIS)

    Prebeg, Pero; Gasparovic, Goran; Krajacic, Goran; Duic, Neven

    2016-01-01

    Highlights: • Optimization of supply side long-term energy planning of large power system. • Integration of renewable sources and electrical vehicles in large power system. • Multi-level, multi-objective optimization for a design of energy system. • Historical river flow data analysis for modeling of aggregated hydropower potential. - Abstract: Due to the stochastic nature and variability of renewable energy sources (RES), it is necessary to integrate still expensive storage capacities into an energy system with a high share of RES and to model appropriate energy market. The study presented here considers all energy carriers, however, only the electricity carrier is modeled in detail, with notion taken for the heating demand that is covered but without proper modeling of storage. A proposed two-level approach with multi-objective optimization on the global level, was used to design a Croatian Energy System (CES), where electric vehicles (EVs) are integrated to serve as battery storage in Vehicle-to-Grid (V2G) mode, for a scenario between 2015 and 2050. In addition, case study includes nine aggregated hydro power plants, one for each river basin in Croatia. Also, case study includes solar and wind power plants modeled for six locations in Croatia: Osijek, Zagreb, Rijeka, Sibenik, Split and Dubrovnik. The resulting Pareto front suggests that with assumed future costs of fuels and technology certain level of conventional energy sources will have to remain in the energy system to take into the account unfavourable weather conditions and to cover heating demand, which also results in significantly lower load factors for those power plants. Also, variants with more RES share have lower total energy system load factor and significantly higher installed capacity.

  12. Provision of Flexible Load Control by Multi-Flywheel-Energy-Storage System in Electrical Vehicle Charging Stations

    DEFF Research Database (Denmark)

    Sun, Bo; Dragicevic, Tomislav; Andrade, Fabio

    2015-01-01

    in order to support basic electrical operation. This paper proposes a local implementation of a hysteresis-based aggregation algorithm for coordinated control of multiple stations that can provide functions such as peak shaving, spinning reserves, frequency control, regulation and load following. Local......Electrical vehicle (EV) chargers are going to occupy a considerable portion of total energy consumption in the future smart grid. Fast charging stations (FCS), as the most demanding representatives of charging infrastructure, will be requested to provide some ancillary services to the power system...... stability. Finally, corresponding hardware in the loop results based on dSPACE1006 platform have been reported in order to verify the validity of proposed approach....

  13. Environmental performance of advanced hybrid energy storage systems for electric vehicle applications

    International Nuclear Information System (INIS)

    Sanfélix, Javier; Messagie, Maarten; Omar, Noshin; Van Mierlo, Joeri; Hennige, Volker

    2015-01-01

    Highlights: • The environmental impact of advanced energy storage systems is assessed. • The methodology used is Life Cycle Assessment following the ISO 14040 and 14044. • Twelve impact categories are assessed to avoid burden shifting. • Increasing the efficiency and extending the lifetime benefits the environmental performance. • The results show that there are hot spots where to act and reduce the overall impact. - Abstract: In this paper the environmental performance of an advanced hybrid energy storage system, comprising high power and high energy lithium iron phosphate cells, is compared with a stand alone battery concept composed of lithium manganese oxide cells. The methodology used to analyse the environmental impacts is Life Cycle Assessment (LCA). The manufacturing, use phase and end-of-life of the battery packs are assessed for twelve impact categories. The functional unit is 1 km driven under European average conditions. The present study assesses the environmental performance of the two battery packs for two scenarios: scenario 1 with a vehicle total drive range of 150,000 km and scenario 2 with total driving range of the car of 300,000 km. The results of scenario 1 show that the increased efficiency of the hybrid system reduces, in general, the environmental impact during the use stage, although the manufacturing stage has higher impact than the benchmark. Scenario 2 shows how the extended lifetime of the hybrid system benefits the emissions per km driven

  14. A modular function architecture for adaptive and predictive energy management in hybrid electric vehicles; Eine modulare Funktionsarchitektur fuer adaptives und vorausschauendes Energiemanagement in Hybridfahrzeugen

    Energy Technology Data Exchange (ETDEWEB)

    Wilde, Andreas

    2009-10-27

    Due to the relatively low energy density of electrical energy storage devices, the control strategy of hybrid electric vehicles has to fulfil a variety of requirements in order to provide both, the availability of hybrid functions, and their efficient execution. Energy consuming functions such as electric drive or electric boost need a high amount of energy stored in the battery. On the other hand for the optimum use of the energy regeneration function a lower state of charge is preferable in order to enable storage of the kinetic energy of the vehicle in all situations, including upon deceleration from high speeds or downhill driving. These diverging requirements yield a conflict of objectives for the charging strategy of hybrid electric vehicles. This work proposes a way to overcome the restrictions on efficiency in hybrid electric vehicles without deteriorating overall driving performance by charging or discharging the traction battery, and by setting the energy management parametres according to the current and forthcoming driving situation. Specific charging and electric drive strategies are presented for various driving situations which are identified by sensors such as navigation systems, cameras or radar. Necessary sensor data fusion methods for driving situation identification are described and a modular function architecture for predictive energy management is derived that is plug-and-play compatible with a broad fleet of vehicles. In order to evaluate its potential, this work also focuses on the simulation of the energy functions and their implementation into an experimental vehicle. This allows measurements under real traffic conditions and a sensivity analysis of the main module interactions within the architecture. (orig.)

  15. Towards a Friendly Energy Management Strategy for Hybrid Electric Vehicles with Respect to Pollution, Battery and Drivability

    Directory of Open Access Journals (Sweden)

    Guillaume Colin

    2014-09-01

    Full Text Available The paper proposes a generic methodology to incorporate constraints (pollutant emission, battery health, drivability into on-line energy management strategies (EMSs for hybrid electric vehicles (HEVs and plug-in hybrid electric vehicles (PHEVs. The integration of each constraint into the EMS, made with the Pontryagin maximum principle, shows a tradeoff between the fuel consumption and the constraint introduced. As state dynamics come into play (catalyst temperature, battery cell temperature, etc., the optimization problem becomes more complex. Simulation results are presented to highlight the contribution of this generic strategy, including constraints compared to the standard approach. These results show that it is possible to find an energy management strategy that takes into account an increasing number of constraints (drivability, pollution, aging, environment, etc.. However, taking these constraints into account increases fuel consumption (the existence of a trade-off curve. This trade-off can be sometimes difficult to find, and the tools developed in this paper should help to find an acceptable solution quickly

  16. Advanced hybrid and electric vehicles system optimization and vehicle integration

    CERN Document Server

    2016-01-01

    This contributed volume contains the results of the research program “Agreement for Hybrid and Electric Vehicles”, funded by the International Energy Agency. The topical focus lies on technology options for the system optimization of hybrid and electric vehicle components and drive train configurations which enhance the energy efficiency of the vehicle. The approach to the topic is genuinely interdisciplinary, covering insights from fields. The target audience primarily comprises researchers and industry experts in the field of automotive engineering, but the book may also be beneficial for graduate students.

  17. Costs and Operating Dynamics of Integrating Distributed Energy Resources in Commercial and Industrial Buildings with Electric Vehicle Charging

    Science.gov (United States)

    Flores, Robert Joseph

    Growing concerns over greenhouse gas and pollutant emissions have increased the pressure to shift energy conversion paradigms from current forms to more sustainable methods, such as through the use of distributed energy resources (DER) at industrial and commercial buildings. This dissertation is concerned with the optimal design and dispatch of a DER system installed at an industrial or commercial building. An optimization model that accurately captures typical utility costs and the physical constraints of a combined cooling, heating, and power (CCHP) system is designed to size and operate a DER system at a building. The optimization model is then used with cooperative game theory to evaluate the financial performance of a CCHP investment. The CCHP model is then modified to include energy storage, solar powered generators, alternative fuel sources, carbon emission limits, and building interactions with public and fleet PEVs. Then, a separate plugin electric vehicle (PEV) refueling model is developed to determine the cost to operate a public Level 3 fast charging station. The CCHP design and dispatch results show the size of the building load and consistency of the thermal loads are critical to positive financial performance. While using the CCHP system to produce cooling can provide savings, heat production drives positive financial performance. When designing the DER system to reduce carbon emissions, the use of renewable fuels can allow for a gas turbine system with heat recovery to reduce carbon emissions for a large university by 67%. Further reductions require large photovoltaic installations coupled with energy storage or the ability to export electricity back to the grid if costs are to remain relatively low. When considering Level 3 fast charging equipment, demand charges at low PEV travel levels are sufficiently high to discourage adoption. Integration of the equipment can reduce demand charge costs only if the building maximum demand does not coincide

  18. Plug-in electric vehicles integrating fluctuating renewable electricity

    Energy Technology Data Exchange (ETDEWEB)

    Dallinger, David

    2013-11-01

    This paper examines a method to model plug-in electric vehicles as part of the power system and presents results for the contribution of plug-in electric vehicles to balance the fluctuating electricity generation of renewable energy sources. The scientific contribution includes: - A novel approach to characterizing fluctuating generation. This allows the detailed comparison of results from energy analysis and is the basis to describe the effect of electricity from renewable energy sources and plug-in electric vehicles on the power system. - The characterization of mobile storage, which includes the description of mobility behavior using probabilities and battery discharging costs. - The introduction of an agent-based simulation approach, coupling energy markets and distributed grids using a price-based mechanism design. - The description of an agent with specific driving behavior, battery discharging costs and optimization algorithm suitable for real plug-in vehicles and simulation models. - A case study for a 2030 scenario describing the contribution of plug-in electric vehicles to balance generation from renewable energy sources in California and Germany.

  19. High Energy Density and High Temperature Multilayer Capacitor Films for Electric Vehicle Applications

    Science.gov (United States)

    Treufeld, Imre; Song, Michelle; Zhu, Lei; Baer, Eric; Snyder, Joe; Langhe, Deepak

    2015-03-01

    Multilayer films (MLFs) with high energy density and high temperature capability (>120 °C) have been developed at Case Western Reserve University. Such films offer a potential solution for electric car DC-link capacitors, where high ripple currents and high temperature tolerance are required. The current state-of-the-art capacitors used in electric cars for converting DC to AC use biaxially oriented polypropylene (BOPP), which can only operate at temperatures up to 85 °C requiring an external cooling system. The polycarbonate (PC)/poly(vinylidene fluoride) (PVDF) MLFs have a higher permittivity compared to that of BOPP (2.3), leading to higher energy density. They have good mechanical stability and reasonably low dielectric losses at 120 °C. Nonetheless, our preliminary dielectric measurements show that the MLFs exhibit appreciable dielectric losses (20%) at 120 °C, which would, despite all the other advantages, make them not suitable for practical applications. Our preliminary data showed that dielectric losses of the MLFs at 120 °C up to 400 MV/m and 1000 Hz originate mostly from impurity ionic conduction. This work is supported by the NSF PFI/BIC Program (IIP-1237708).

  20. Battery durability and longevity based power management for plug-in hybrid electric vehicle with hybrid energy storage system

    International Nuclear Information System (INIS)

    Zhang, Shuo; Xiong, Rui; Cao, Jiayi

    2016-01-01

    Highlights: • A novel procedure for developing an optimal power management strategy was proposed. • Efficiency and durability were considered to improve the practical performance. • Three control rules were abstracted from the optimization results with DP algorithm. • The proposed control strategy was verified under different SoC and SoH conditions. • The proposed strategy could further improve the energy efficiency obviously. - Abstract: Efficiency and durability are becoming two key issues for the energy storage system in electric vehicles together with their associated power management strategies. In this paper, we present a procedure for the design of a near-optimal power management strategy for the hybrid battery and ultracapacitor energy storage system (HESS) in a plug-in hybrid electric vehicle. The design procedure starts by defining a cost function to minimize the electricity consumption of the HESS and to optimize the operating behavior of the battery. To determine the optimal control actions and power distribution between two power sources, a dynamic programming (DP)-based novel analysis method is proposed, and the optimization framework is presented accordingly. Through analysis of the DP control actions under different battery state-of-health (SoH) conditions, near-optimal rules are extracted. A rule based power management is proposed based on the abstracted rules and simulation results indicate that the new control strategy can improve system efficiency under different SoH and different SoC conditions. Ultimately, the performance of proposed strategy is further verified under different types of driving cycles including the MANHATTAN cycle, 1015 6PRIUS cycle and UDDSHDV cycle.

  1. Electric vehicle data acquisition system

    DEFF Research Database (Denmark)

    Svendsen, Mathias; Winther-Jensen, Mads; Pedersen, Anders Bro

    2014-01-01

    and industrial applications, e.g. research in electric vehicle driving patterns, vehicle substitutability analysis and fleet management. The platform is based on a embedded computer running Linux, and features a high level of modularity and flexibility. The system operates independently of the make of the car......, by using the On-board Diagnostic port to identify car model and adapt its software accordingly. By utilizing on-board Global Navigation Satellite System, General Packet Radio Service, accelerometer, gyroscope and magnetometer, the system not only provides valuable data for research in the field of electric......A data acquisition system for electric vehicles is presented. The system connects to the On-board Diagnostic port of newer vehicles, and utilizes the in-vehicle sensor network, as well as auxiliary sensors, to gather data. Data is transmitted continuously to a central database for academic...

  2. Energy regeneration from decelerating vehicle

    OpenAIRE

    Chishty, Owais; Melis, Wim J.C.

    2012-01-01

    Up to now most car braking systems use hydraulic braking technology, which converts the excess of kinetic energy into heat, effectively resulting in an energy loss. Regenerative breaking technology supposedly deals with this problem by converting kinetic energy back into electrical energy that can then be reused for example during acceleration. Current hybrid vehicles are equipped with regenerative braking technology which makes them particularly interesting for situations with frequent decel...

  3. Batteries for electric road vehicles.

    Science.gov (United States)

    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.

  4. Modelling the multilevel structure and mixed effects of the factors influencing the energy consumption of electric vehicles

    International Nuclear Information System (INIS)

    Liu, Kai; Wang, Jiangbo; Yamamoto, Toshiyuki; Morikawa, Takayuki

    2016-01-01

    Highlights: • The impacts of driving heterogeneity on EVs’ energy efficiency are examined. • Several multilevel mixed-effects regression models are proposed and compared. • The most reasonable nested structure is extracted from the long term GPS data. • Proposed model improves the energy estimation accuracy by 7.5%. - Abstract: To improve the accuracy of estimation of the energy consumption of electric vehicles (EVs) and to enable the alleviation of range anxiety through the introduction of EV charging stations at suitable locations for the near future, multilevel mixed-effects linear regression models were used in this study to estimate the actual energy efficiency of EVs. The impacts of the heterogeneity in driving behaviour among various road environments and traffic conditions on EV energy efficiency were extracted from long-term daily trip-based energy consumption data, which were collected over 12 months from 68 in-use EVs in Aichi Prefecture in Japan. Considering the variations in energy efficiency associated with different types of EV ownership, different external environments, and different driving habits, a two-level random intercept model, three two-level mixed-effects models, and two three-level mixed-effects models were developed and compared. The most reasonable nesting structure was determined by comparing the models, which were designed with different nesting structures and different random variance component specifications, thereby revealing the potential correlations and non-constant variability of the energy consumption per kilometre (ECPK) and improving the estimation accuracy by 7.5%.

  5. Multi-mode energy management strategy for fuel cell electric vehicles based on driving pattern identification using learning vector quantization neural network algorithm

    Science.gov (United States)

    Song, Ke; Li, Feiqiang; Hu, Xiao; He, Lin; Niu, Wenxu; Lu, Sihao; Zhang, Tong

    2018-06-01

    The development of fuel cell electric vehicles can to a certain extent alleviate worldwide energy and environmental issues. While a single energy management strategy cannot meet the complex road conditions of an actual vehicle, this article proposes a multi-mode energy management strategy for electric vehicles with a fuel cell range extender based on driving condition recognition technology, which contains a patterns recognizer and a multi-mode energy management controller. This paper introduces a learning vector quantization (LVQ) neural network to design the driving patterns recognizer according to a vehicle's driving information. This multi-mode strategy can automatically switch to the genetic algorithm optimized thermostat strategy under specific driving conditions in the light of the differences in condition recognition results. Simulation experiments were carried out based on the model's validity verification using a dynamometer test bench. Simulation results show that the proposed strategy can obtain better economic performance than the single-mode thermostat strategy under dynamic driving conditions.

  6. Modeling plug-in electric vehicle charging demand with BEAM: the framework for behavior energy autonomy mobility

    Energy Technology Data Exchange (ETDEWEB)

    Sheppard, Colin; Waraich, Rashid; Campbell, Andrew; Pozdnukov, Alexei; Gopal, Anand R.

    2017-05-01

    This report summarizes the BEAM modeling framework (Behavior, Energy, Mobility, and Autonomy) and its application to simulating plug-in electric vehicle (PEV) mobility, energy consumption, and spatiotemporal charging demand. BEAM is an agent-based model of PEV mobility and charging behavior designed as an extension to MATSim (the Multi-Agent Transportation Simulation model). We apply BEAM to the San Francisco Bay Area and conduct a preliminary calibration and validation of its prediction of charging load based on observed charging infrastructure utilization for the region in 2016. We then explore the impact of a variety of common modeling assumptions in the literature regarding charging infrastructure availability and driver behavior. We find that accurately reproducing observed charging patterns requires an explicit representation of spatially disaggregated charging infrastructure as well as a more nuanced model of the decision to charge that balances tradeoffs people make with regards to time, cost, convenience, and range anxiety.

  7. Energy-Regenerative Braking Control of Electric Vehicles Using Three-Phase Brushless Direct-Current Motors

    Directory of Open Access Journals (Sweden)

    Bo Long

    2013-12-01

    Full Text Available Regenerative braking provides an effective way of extending the driving range of battery powered electric vehicles (EVs. This paper analyzes the equivalent power circuit and operation principles of an EV using regenerative braking control technology. During the braking period, the switching sequence of the power converter is controlled to inverse the output torque of the three-phase brushless direct-current (DC motor, so that the braking energy can be returned to the battery. Compared with the presented methods, this technology can achieve several goals: energy recovery, electric braking, ultra-quiet braking and extending the driving range. Merits and drawbacks of different braking control strategy are further elaborated. State-space model of the EVs under energy-regenerative braking operation is established, considering that parameter variations are unavoidable due to temperature change, measured error, un-modeled dynamics, external disturbance and time-varying system parameters, a sliding mode robust controller (SMRC is designed and implemented. Phase current and DC-link voltage are selected as the state variables, respectively. The corresponding control law is also provided. The proposed control scheme is compared with a conventional proportional-integral (PI controller. A laboratory EV for experiment is setup to verify the proposed scheme. Experimental results show that the drive range of EVs can be improved about 17% using the proposed controller with energy-regeneration control.

  8. 0-6763 : accounting for electric vehicles in air quality conformity.

    Science.gov (United States)

    2014-08-01

    Electric vehicles (EVs) are broadly defined as : vehicles that obtain at least a part of the energy : required for their propulsion from electricity. This : research focused on the three main types of EVs: : Hybrid electric vehicles. : Plug-i...

  9. Electric vehicle charging in China’s power system: Energy, economic and environmental trade-offs and policy implications

    International Nuclear Information System (INIS)

    Li, Ying; Davis, Chris; Lukszo, Zofia; Weijnen, Margot

    2016-01-01

    Highlights: • We investigate the energy, economic and environmental implications of deploying EVs for China’s power system by 2030. • EVs outperform gasoline-powered vehicles in terms of average fueling costs. • Controlled EV charging given the expected 2030 capacity portfolio results in more CO_2 emissions than uncontrolled charging. • Controlled charging has absolute advantages in mitigating the peak load and facilitating RES generation. • Controlled (dis)charging will not reduce CO_2 for China without generation decarbonization and CO_2-influenced dispatch. - Abstract: This work investigates different scenarios for electric vehicle (EV) deployment in China and explores the implications thereof with regard to energy portfolio, economics and the environment. Specifically, we investigate how to better deliver the value of EVs by improving designs in the power system and charging strategies, given expected developments by 2030 in both the power system and EV penetration levels. The impact of EV charging is quantified by applying an integrated transportation-power system model on a set of scenarios which represent uncertainties in charging strategies. We find that deploying EVs essentially shifts the use of gasoline to coal-fired power generation in China, thus leading to more coal consumption and CO_2 emissions of the power system. Economically, EVs outperform gasoline-powered vehicles in terms of average fueling costs. However, the impact of EVs in terms of CO_2 emissions at the national level largely depends on the charging strategy. Specifically, controlled charging results in more CO_2 emissions associated with EVs than uncontrolled charging, as it tends to feed EVs with electricity produced by cheap yet low-efficiency coal power plants located in regions where coal prices are low. Still, compared with uncontrolled charging, controlled charging shows absolute advantages in: (1) mitigating the peak load arising from EV charging; (2) facilitating RES

  10. Research and development of electric vehicles for clean transportation.

    Science.gov (United States)

    Wada, Masayoshi

    2009-01-01

    This article presents the research and development of an electric vehicle (EV) in Department of Human-Robotics Saitama Institute of Technology, Japan. Electric mobile systems developed in our laboratory include a converted electric automobile, electric wheelchair and personal mobile robot. These mobile systems contribute to realize clean transportation since energy sources and devices from all vehicles, i.e., batteries and electric motors, does not deteriorate the environment. To drive motors for vehicle traveling, robotic technologies were applied.

  11. MPC-based energy management with adaptive Markov-chain prediction for a dual-mode hybrid electric vehicle

    Institute of Scientific and Technical Information of China (English)

    XIANG; ChangLe; DING; Feng; WANG; WeiDa; HE; Wei; QI; YunLong

    2017-01-01

    The and energy to management strategy battery is state an important part of a hybrid electrical vehicle design.It is used to improve various fuel economy sustain a proper of charge an by controlling control the power components is while satisfying to constraints and driving demands.However,achieving optimal and performance challenging due the nonlinearities of the hybrid powertrain,conflicting vehicle the time varying constraints,the dilemma capable in which controller control complexity and real-time capability are generally objectives.In this paper,a of real-time cascaded complies strategy is proposed for a dual-mode hybrid electric that considers controller based nonlinearities based the system model and with all time-varying with constraints.sampling The strategy consists of a supervisory controller on a non-linear predictive control short(MPC)sampling a long time with future strategy interval and a coordinating on linear model predictive based control with a time interval to deal different load dynamics of the system.The Additionally,a novel data methodology using adaptive Markov chains to predict demand is introduced.predictive future information is used to improve controller cycles performance.conducted.The The proposed is implemented validity on a real test-bed approach and experimental trials using economy unknown is driving are results other demonstrate the of the proposed and show that fuel significantly improved compared with methods.

  12. MPC-based energy management with adaptive Markov-chain prediction for a dual-mode hybrid electric vehicle

    Institute of Scientific and Technical Information of China (English)

    XIANG ChangLe; DING Feng; WANG WeiDa; HE Wei; QI YunLong

    2017-01-01

    The energy management strategy is an important part of a hybrid electrical vehicle design.It is used to improve fuel economy and to sustain a proper battery state of charge by controlling the power components while satisfying various constraints and driving demands.However,achieving an optimal control performance is challenging due to the nonlinearities of the hybrid powertrain,the time varying constraints,and the dilemma in which controller complexity and real-time capability are generally conflicting objectives.In this paper,a real-time capable cascaded control strategy is proposed for a dual-mode hybrid electric vehicle that considers nonlinearities of the system and complies with all time-varying constraints.The strategy consists of a supervisory controller based on a non-linear model predictive control (MPC) with a long sampling time interval and a coordinating controller based on linear model predictive control with a short sampling time interval to deal with different dynamics of the system.Additionally,a novel data based methodology using adaptive Markov chains to predict future load demand is introduced.The predictive future information is used to improve controller performance.The proposed strategy is implemented on a real test-bed and experimental trials using unknown driving cycles are conducted.The results demonstrate the validity of the proposed approach and show that fuel economy is significantly improved compared with other methods.

  13. Electric Vehicle Interaction at the Electrical Circuit Level

    Science.gov (United States)

    2018-01-01

    The objective of the Electric Vehicle Interaction at the Electrical Circuit Level project was to investigate electric vehicle (EV) charging as a means of mitigating transient over-voltages (TOVs) on the circuit level electric utility distribution gri...

  14. Electric-hybrid-vehicle simulation

    Science.gov (United States)

    Pasma, D. C.

    The simulation of electric hybrid vehicles is to be performed using experimental data to model propulsion system components. The performance of an existing ac propulsion system will be used as the baseline for comparative purposes. Hybrid components to be evaluated include electrically and mechanically driven flywheels, and an elastomeric regenerative braking system.

  15. High-performance batteries for electric-vehicle propulsion and stationary energy storage. Progress report, October 1977--September 1978

    Energy Technology Data Exchange (ETDEWEB)

    Nelson, P.A.; Barney, D.L.; Steunenberg, R.K.

    1978-11-01

    The research, development, and management activities of the programs at Argonne National Laboratory (ANL) and at industrial subcontractors' laboratories on high-temperature batteries during the period October 1977--September 1978 are reported. These batteries are being developed for electric-vehicle propulsion and for stationary-energy-storage applications. The present cells, which operate at 400 to 500/sup 0/C, are of a vertically oriented, prismatic design with one or more inner positive electrodes of FeS or FeS/sub 2/, facing electrodes of lithium--aluminum alloy, and molten LiCl--KCl electrolyte. During this fiscal year, cell and battery development work continued at ANL, Eagle--Picher Industries, Inc., the Energy Systems Group of Rockwell International, and Gould Inc. Related work was also in progress at the Carborundum Co., General Motors Research Laboratories, and various other organizations. A major event was the initiation of a subcontract with Eagle--Picher Industries to develop, design, and fabricate a 40-kWh battery (Mark IA) for testing in an electric van. Conceptual design studies on a 100-MWh stationary-energy-storage module were conducted as a joint effort between ANL and Rockwell International. A significant technical advance was the development of multiplate cells, which are capable of higher performance than bicells. 89 figures, 57 tables.

  16. Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Imran Rahman

    2015-01-01

    Full Text Available Recent researches towards the use of green technologies to reduce pollution and higher penetration of renewable energy sources in the transportation sector have been gaining popularity. In this wake, extensive participation of plug-in hybrid electric vehicles (PHEVs requires adequate charging allocation strategy using a combination of smart grid systems and smart charging infrastructures. Daytime charging stations will be needed for daily usage of PHEVs due to the limited all-electric range. Intelligent energy management is an important issue which has already drawn much attention of researchers. Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. In this paper, gravitational search algorithm (GSA has been applied and compared with another member of swarm family, particle swarm optimization (PSO, considering constraints such as energy price, remaining battery capacity, and remaining charging time. Simulation results obtained for maximizing the highly nonlinear objective function evaluate the performance of both techniques in terms of best fitness.

  17. Panorama 2017 - Development of electric vehicle: where are we now?

    International Nuclear Information System (INIS)

    Ternel, Cyprien

    2016-09-01

    Electric vehicles - a term which refers to battery electric vehicles (BEV) and plug-in hybrid vehicles (PHEV) - are regarded as one way to lower energy costs and reduce the environmental impact of transport. While mild or full hybrid vehicles are gradually becoming more widespread, the market for electric vehicles is still developing. While the symbolic threshold of one million electric vehicles in circulation worldwide was surpassed in 2015 and sales are increasing from year to year, certain limitations could nevertheless hinder this growth. High purchase prices, the need to establish incentive-based public policies to significantly increase sales, and vehicle range are challenges to overcome before electric vehicles become a sustainable part of the world's automobile fleet. This memorandum takes stock of this specific market and highlights the reasons to believe in its continued progress. It mainly discusses private vehicles (including micro-cars) and utility vehicles, but a specific section is dedicated to mopeds and motorbikes

  18. Hybrid Electric Vehicle Publications | Transportation Research | NREL

    Science.gov (United States)

    Hybrid Electric Vehicle Publications Hybrid Electric Vehicle Publications The following technical papers, conference papers, and fact sheets provide information about NREL's hybrid electric fleet vehicle Class 8 Hybrid Electric Delivery Trucks. Mike Lammert. (2011) FedEx Delivery Trucks In-Use and Vehicle

  19. What contribution of the electric-powered vehicle to the ecological transition in France? Environmental issues and integration perspectives of mobility and energy ecosystems. The electric-powered vehicle in the ecological transition in France

    International Nuclear Information System (INIS)

    Cheron, Marie; Gilbert-d'Halluin, Abrial; Schuller, Aurelien; Bailleul, Esther; Beretta, Joseph; Castelli, Marie; Bouteille, Adrien; Marie, Francois; Crohas, Jean-Baptiste; Lacout, Beatrice; Siret, Clemence; Limousin, Lorelei; Mignon, Herve; Colombo, Emanuele; Pasquier, Maxime; Osset, Philippe; Beaudard, Cecile; Bauchot, Dephine; Cluzel, Celine; Payet, Jerome; Teulon, Helene

    2017-12-01

    A large deployment of plug-in vehicles in France can contribute to reduce the climate impact of cars while reaching the ambitions of the French energy transition law. According to this technical report, launched by the ECF and Fondation pour l'Homme et la Nature, vehicle to grid and Second life batteries can accelerate the deployment of renewable energy sources (RES) and ensure better grid stability. The project was conducted over 18 months with the input from the French's automotive sector, battery suppliers, transmission system operators and environmental NGOs, and was underpinned by energy modeling by Carbon 4. The project team built a balanced evidence base on the contribution of EVs towards transport decarbonization and to RES integration in France by 2030. The project also identified the key levers to reduce the remaining impacts on the environment via life cycle analysis on five indicators (Global Warming Potential, Acidification Potential, Abiotic Depletion, Eutrophication Potential, Photochemical Ozone Creation Potential). The analysis shows today, the Global Warming Potential (GWP) of a small Battery Electric Vehicle (e.g. Zoe - 22 kWh) is 70% less than the GWP of a small gasoline car. The GWP of a large BEV is 57% less than the GWP of large diesel car. In 2030, the gap between Internal Combustion Engines (ICE) vehicles and Battery Electric Vehicles (BEV) is reduced due to the mild-hybridization of ICE vehicles but BEVs still have less life cycle emissions. Recycling is an important element to reduce life-cycle impacts of large BEVs and should be incentivized. On average, a 30% increase of the battery recycling mass rate leads to a 14% decrease of the overall EV's GWP. BEVs contribute to renewable energies integration. In case the infrastructure is in place, the use of vehicle-to-grid services can ensure grid stabilization, in particular during peak demand. The technical V2G potential for an average Winter day of 1.3 million vehicles (30

  20. Lithium polymer batteries and proton exchange membrane fuel cells as energy sources in hydrogen electric vehicles

    Science.gov (United States)

    Corbo, P.; Migliardini, F.; Veneri, O.

    This paper deals with the application of lithium ion polymer batteries as electric energy storage systems for hydrogen fuel cell power trains. The experimental study was firstly effected in steady state conditions, to evidence the basic features of these systems in view of their application in the automotive field, in particular charge-discharge experiments were carried at different rates (varying the current between 8 and 100 A). A comparison with conventional lead acid batteries evidenced the superior features of lithium systems in terms of both higher discharge rate capability and minor resistance in charge mode. Dynamic experiments were carried out on the overall power train equipped with PEM fuel cell stack (2 kW) and lithium batteries (47.5 V, 40 Ah) on the European R47 driving cycle. The usage of lithium ion polymer batteries permitted to follow the high dynamic requirement of this cycle in hard hybrid configuration, with a hydrogen consumption reduction of about 6% with respect to the same power train equipped with lead acid batteries.

  1. Air-Conditioning for Electric Vehicles

    Science.gov (United States)

    Popinski, Z.

    1984-01-01

    Combination of ammonia-absorption refrigerator, roof-mounted solar collectors, and 200 degrees C service electric-vehicle motor provides evaporative space-heating/space cooling system for electric-powered and hybrid fuel/electric vehicles.

  2. Design and Control of a Multi-Functional Energy Recovery Power Accumulator Battery Pack Testing System for Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Bo Long

    2014-03-01

    Full Text Available In this paper, aiming at the energy loss and harmonic problems in the conventional power accumulator battery pack testing system (PABPTS, an improved multi-functional energy recovery PABPTS (ERPABPTS for electric vehicles (EVs was proposed. The improved system has the functions of harmonic detection, suppression, reactive compensation and energy recovery. The ERPABPTS, which contains a bi-directional buck-boost direct current (DC-DC converter and a bi-directional alternating current (AC-DC converter with an inductor-capacitor-inductor (LCL type filter interfacing to the AC-grid, is proposed. System configuration and operation principle of the combined system are discussed first, then, the reactive compensation and harmonic suppression controller under balanced grid-voltage condition are presented. Design of a fourth order band-pass Butterworth filter for current harmonic detection is put forward, and the reactive compensator design procedure considering the non-linear load is also illustrated. The proposed scheme is implemented in a 175-kW prototype in the laboratory. Simulation and experimental results show that the combined configuration can effectively realize energy recovery for high accuracy current test requirement, meanwhile, can effectively achieve reactive compensation and current harmonic suppression.

  3. Urban electric vehicles: a contemporary business case

    Directory of Open Access Journals (Sweden)

    Noha SADEK

    2012-01-01

    Full Text Available In a world where energy supply security and environmental protection are major concerns, the development of green vehicles is becoming a necessity. The Electric vehicle (EV is one of the most promising technologies that will make the “green dream” come true. This paper is a contemporary business case that encourages the immediate deployment of urban EVs. It proposes a model in which we can profit from the benefits of urban EVs namely, high energy efficiency, emissions reduction, small size and noise reduction. The model mitigates the EV potential limitations such as energy source, charging infrastructure, impact on electrical power system and cost issues. It also provides ideas to overcome the barriers of the technology application in order to speed up their commercialization. This study reveals that having an environmentally friendly vehicle can soon become a reality if our collaborative efforts are properly directed.

  4. Solar-coupled electric vehicles

    International Nuclear Information System (INIS)

    Willer, B.

    1993-01-01

    An electrical drive is an alternative to the present internal combustion engines. The electric car produces no exhaust gas where it is used and drives practically noiselessly. The energy required for driving is usually taken from an electro-chemical battery. The necessary electricity generation generates emission and CO 2 , depending on the primary energy used. An alternative is provided by electricity generation with the aid of regenerative energy. Apart from hydroelectric and wind energy, solar energy can make a considerable contribution in the future. (orig.) [de

  5. Wireless power transfer for electric vehicle

    OpenAIRE

    Mude, Kishore Naik

    2015-01-01

    Wireless Power Transfer (WPT) systems transfer electric energy from a source to a load without any wired connection. WPTs are attractive for many industrial applications because of their advantages compared to the wired counterpart, such as no exposed wires, ease of charging, and fearless transmission of power in adverse environmental conditions. Adoption of WPTs to charge the on-board batteries of an electric vehicle (EV) has got attention from some companies, and efforts are being made for ...

  6. A highly accurate predictive-adaptive method for lithium-ion battery remaining discharge energy prediction in electric vehicle applications

    International Nuclear Information System (INIS)

    Liu, Guangming; Ouyang, Minggao; Lu, Languang; Li, Jianqiu; Hua, Jianfeng

    2015-01-01

    Highlights: • An energy prediction (EP) method is introduced for battery E RDE determination. • EP determines E RDE through coupled prediction of future states, parameters, and output. • The PAEP combines parameter adaptation and prediction to update model parameters. • The PAEP provides improved E RDE accuracy compared with DC and other EP methods. - Abstract: In order to estimate the remaining driving range (RDR) in electric vehicles, the remaining discharge energy (E RDE ) of the applied battery system needs to be precisely predicted. Strongly affected by the load profiles, the available E RDE varies largely in real-world applications and requires specific determination. However, the commonly-used direct calculation (DC) method might result in certain energy prediction errors by relating the E RDE directly to the current state of charge (SOC). To enhance the E RDE accuracy, this paper presents a battery energy prediction (EP) method based on the predictive control theory, in which a coupled prediction of future battery state variation, battery model parameter change, and voltage response, is implemented on the E RDE prediction horizon, and the E RDE is subsequently accumulated and real-timely optimized. Three EP approaches with different model parameter updating routes are introduced, and the predictive-adaptive energy prediction (PAEP) method combining the real-time parameter identification and the future parameter prediction offers the best potential. Based on a large-format lithium-ion battery, the performance of different E RDE calculation methods is compared under various dynamic profiles. Results imply that the EP methods provide much better accuracy than the traditional DC method, and the PAEP could reduce the E RDE error by more than 90% and guarantee the relative energy prediction error under 2%, proving as a proper choice in online E RDE prediction. The correlation of SOC estimation and E RDE calculation is then discussed to illustrate the

  7. Electric Vehicle - Economical driving

    DEFF Research Database (Denmark)

    Jensen, VCE, Steen V.; Schøn, Henriette

    1999-01-01

    How do you reduce the energy-wast when driving and loading EV's - or rather: How do I get more km/l out of an EV......How do you reduce the energy-wast when driving and loading EV's - or rather: How do I get more km/l out of an EV...

  8. Optimal Operation and Management for Smart Grid Subsumed High Penetration of Renewable Energy, Electric Vehicle, and Battery Energy Storage System

    Science.gov (United States)

    Shigenobu, Ryuto; Noorzad, Ahmad Samim; Muarapaz, Cirio; Yona, Atsushi; Senjyu, Tomonobu

    2016-04-01

    Distributed generators (DG) and renewable energy sources have been attracting special attention in distribution systems in all over the world. Renewable energies, such as photovoltaic (PV) and wind turbine generators are considered as green energy. However, a large amount of DG penetration causes voltage deviation beyond the statutory range and reverse power flow at interconnection points in the distribution system. If excessive voltage deviation occurs, consumer's electric devices might break and reverse power flow will also has a negative impact on the transmission system. Thus, mass interconnections of DGs has an adverse effect on both of the utility and the customer. Therefore, reactive power control method is proposed previous research by using inverters attached DGs for prevent voltage deviations. Moreover, battery energy storage system (BESS) is also proposed for resolve reverse power flow. In addition, it is possible to supply high quality power for managing DGs and BESSs. Therefore, this paper proposes a method to maintain voltage, active power, and reactive power flow at interconnection points by using cooperative controlled of PVs, house BESSs, EVs, large BESSs, and existing voltage control devices. This paper not only protect distribution system, but also attain distribution loss reduction and effectivity management of control devices. Therefore mentioned control objectives are formulated as an optimization problem that is solved by using the Particle Swarm Optimization (PSO) algorithm. Modified scheduling method is proposed in order to improve convergence probability of scheduling scheme. The effectiveness of the proposed method is verified by case studies results and by using numerical simulations in MATLAB®.

  9. Prediction of electric vehicle penetration.

    Science.gov (United States)

    2017-05-01

    The object of this report is to present the current market status of plug-in-electric : vehicles (PEVs) and to predict their future penetration within the world and U.S. : markets. The sales values for 2016 show a strong year of PEV sales both in the...

  10. Harnessing big data for estimating the energy consumption and driving range of electric vehicles

    DEFF Research Database (Denmark)

    Fetene, Gebeyehu Manie; Kaplan, Sigal; Mabit, Stefan Lindhard

    2017-01-01

    type; (iv) weather conditions. The results of the analysis measure the mean ECR of BEVs at 0.183 kW h/km, underline a 34% increase in ECR and a 25% decrease in driving range in the winter with respect to the summer, and suggest the electricity tariff for BEVs to be cost efficient with respect...

  11. Vehicle electrical system state controller

    Science.gov (United States)

    Bissontz, Jay E.

    2017-10-17

    A motor vehicle electrical power distribution system includes a plurality of distribution sub-systems, an electrical power storage sub-system and a plurality of switching devices for selective connection of elements of and loads on the power distribution system to the electrical power storage sub-system. A state transition initiator provides inputs to control system operation of switching devices to change the states of the power distribution system. The state transition initiator has a plurality of positions selection of which can initiate a state transition. The state transition initiator can emulate a four position rotary ignition switch. Fail safe power cutoff switches provide high voltage switching device protection.

  12. Electric vehicle station equipment for grid-integrated vehicles

    Science.gov (United States)

    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.

  13. Impact of plug-in hybrid electric vehicles charging demand on the optimal energy management of renewable micro-grids

    International Nuclear Information System (INIS)

    Kavousi-Fard, Abdollah; Abunasri, Alireza; Zare, Alireza; Hoseinzadeh, Rasool

    2014-01-01

    This paper suggests a new stochastic expert framework to investigate the charging effect of plug-in hybrid electric vehicles (PHEVs) on the optimal operation and management of micro-grids (MGs). In this way, a useful method based on smart charging approach is proposed to consider the charging demand of PHEVs in both residential location and public charging stations. The analysis is simulated for 24 h considering the uncertainties associated with the forecast error in the charging demand of PHEVs, hourly load consumption, hourly energy price and Renewable Energy Sources (RESs) output power. In order to see the effect of storage devices on the operation of the MG, NiMH-Battery is also incorporated in the MG. According to the high complexity of the problem, a new optimization method called θ-krill herd (θ-KH) algorithm is proposed which uses the phase angle vectors to update the velocity/position of krill animals with faster and more stable convergence. In addition, a new modification method is proposed to improve the search ability of the algorithm, effectively. The suggested problem is examined on an MG including different RESs such as photovoltaic (PV), fuel cells (FCs), wind turbine (WT), micro turbine (MT) and battery as the storage device. - Highlights: • Introducing an expert stochastic framework for optimal operation and management of MGs including PHEVs. • Introducing a new artificial optimization algorithm based on KH evolutionary technique. • Introducing a new version of KH algorithm called θ-KH for the optimization applications. • Modeling the uncertainty of forecast error in Wind turbine, Photovoltaics, market price, load data, PHEVs electric charging demand in an intelligent framework

  14. High-performance batteries for stationary energy storage and electric-vehicle propulsion. Progress report, April--June 1977

    Energy Technology Data Exchange (ETDEWEB)

    None

    1977-10-01

    Research, development, and management activities of the program on lithium--aluminum/metal sulfide batteries during April--June 1977 are described. These batteries are being developed for electric-vehicle propulsion and stationary energy storage. The present cells, which operate at 400--450/sup 0/C, are of a vertically oriented, prismatic design with a central positive electrode of FeS or FeS/sub 2/, two facing negative electrodes of lithium--aluminum alloy, and an electrolyte of molten LiCl--KCl. Testing and evaluation of industrially fabricated cells is continuing. Li--Al/FeS and Li--Al/FeS/sub 2/ cells from Eagle--Picher Industries and from Gould Inc. were tested. These tests provided information on the effects of design modifications and alternative materials for cells. Improved electrode and cell designs are being developed and tested, and the more promising designs are incorporated into the industrially fabricated cells. Among the concepts receiving major attention are carbon-bonded positive electrodes, scaled-up designs of stationary energy storage cells, additives to extend electrode lifetime, alternative electrode separators, and pellet-grid electrodes. Materials development efforts included the development of a lightweight electrical feedthrough; studies of various current-collector designs; investigation of powder separators; wettability and corrosion tests of materials for cell components; and postoperative examinations of cells. Cell chemistry studies were concerned with discharge mechanisms of FeS electrodes and with other transition-metal sulfides as positive electrode materials. Voltammetric studies were conducted to investigate the reversibility of the FeS/sub 2/ electrode. The use of calcium and magnesium alloys for the negative electrode in advanced battery systems were investigated. 8 figures, 12 tables.

  15. Environmental implication of electric vehicles in China.

    Science.gov (United States)

    Huo, Hong; Zhang, Qiang; Wang, Michael Q; Streets, David G; He, Kebin

    2010-07-01

    Today, electric vehicles (EVs) are being proposed in China as one of the potential options to address the dramatically increasing energy demand from on-road transport. However, the mass use of EVs could involve multiple environmental issues, because EVs use electricity that is generated primarily from coal in China. We examined the fuel-cycle CO(2), SO(2), and NO(x) emissions of EVs in China in both current (2008) and future (2030) periods and compared them with those of conventional gasoline vehicles and gasoline hybrids. EVs do not promise much benefit in reducing CO(2) emissions currently, but greater CO(2) reduction could be expected in future if coal combustion technologies improve and the share of nonfossil electricity increases significantly. EVs could increase SO(2) emissions by 3-10 times and also double NO(x) emissions compared to gasoline vehicles if charged using the current electricity grid. In the future, EVs would be able to reach the NO(x) emission level of gasoline vehicles with advanced emission control devices equipped in thermal power plants but still increase SO(2). EVs do represent an effective solution to issues in China such as oil shortage, but critical policy support is urgently needed to address the environmental issues caused by the use of EVs to make EVs competitive with other vehicle alternatives.

  16. Simulating the potential effects of plug-in hybrid electric vehicles on the energy budget and tax revenues for Onondaga County, New York

    Science.gov (United States)

    Balogh, Stephen B.

    My objectives were to predict the energetic effects of a large increase in plug-in hybrid electric vehicles (PHEV) and their implications on fuel tax collections in Onondaga County. I examined two alternative taxation policies. To do so, I built a model of county energy consumption based on prorated state-level energy consumption data and census data. I used two scenarios to estimate energy consumption trends over the next 30 years and the effects of PHEV on energy use and fuel tax revenues. I found that PHEV can reduce county gasoline consumption, but they would curtail fuel tax revenues and increase residential electricity demand. A one-cent per VMT tax on PHEV users provides insufficient revenue to replace reduced fuel tax collection. A sales tax on electricity consumption generates sufficient replacement revenue at low PHEV market shares. However, at higher shares, the tax on electricity use would exceed the current county tax rate. Keywords: electricity, energy, gasoline, New York State, Onondaga County, plug-in hybrid electric vehicles, transportation model, tax policy

  17. Bandwidth based methodology for designing a hybrid energy storage system for a series hybrid electric vehicle with limited all electric mode

    Science.gov (United States)

    Shahverdi, Masood

    The cost and fuel economy of hybrid electrical vehicles (HEVs) are significantly dependent on the power-train energy storage system (ESS). A series HEV with a minimal all-electric mode (AEM) permits minimizing the size and cost of the ESS. This manuscript, pursuing the minimal size tactic, introduces a bandwidth based methodology for designing an efficient ESS. First, for a mid-size reference vehicle, a parametric study is carried out over various minimal-size ESSs, both hybrid (HESS) and non-hybrid (ESS), for finding the highest fuel economy. The results show that a specific type of high power battery with 4.5 kWh capacity can be selected as the winning candidate to study for further minimization. In a second study, following the twin goals of maximizing Fuel Economy (FE) and improving consumer acceptance, a sports car class Series-HEV (SHEV) was considered as a potential application which requires even more ESS minimization. The challenge with this vehicle is to reduce the ESS size compared to 4.5 kWh, because the available space allocation is only one fourth of the allowed battery size in the mid-size study by volume. Therefore, an advanced bandwidth-based controller is developed that allows a hybridized Subaru BRZ model to be realized with a light ESS. The result allows a SHEV to be realized with 1.13 kWh ESS capacity. In a third study, the objective is to find optimum SHEV designs with minimal AEM assumption which cover the design space between the fuel economies in the mid-size car study and the sports car study. Maximizing FE while minimizing ESS cost is more aligned with customer acceptance in the current state of market. The techniques applied to manage the power flow between energy sources of the power-train significantly affect the results of this optimization. A Pareto Frontier, including ESS cost and FE, for a SHEV with limited AEM, is introduced using an advanced bandwidth-based control strategy teamed up with duty ratio control. This controller

  18. Emissions from Medium-Duty Conventional and Diesel-Electric Hybrid Vehicles; NREL (National Renewable Energy Laboratory)

    Energy Technology Data Exchange (ETDEWEB)

    Ragatz, A.; Duran, A.; Thornton, M.; Walkowicz, K.

    2014-04-02

    This presentation discusses the results of emissions testing for medium-duty conventional and diesel-electric hybrid vehicles. Testing was based on a field evaluation approach that utilized the Fleet DNA drive cycle database and NREL’s Renewable Fuels and Lubricants (ReFUEL) Laboratory chassis dynamometer. Vehicles tested included parcel delivery (Class 6 step vans), beverage delivery (Class 8 tractors), and parcel delivery (Class 7 box trucks) vehicles, all with intended service class medium/heavy heavy-duty diesel (MHDD).
    Results for fuel economy and tailpipe NOx emissions included: diesel hybrid electric vehicles showed an average fuel economy advantage on identified test cycles: Class 6 Step Vans: 26%; Class 7 Box Trucks: 24.7%; Class 8 Tractors: 17.3%. Vehicle miles traveled is an important factor in determining total petroleum and CO2 displacement. Higher NOx emissions were observed over some test cycles: highly drive cycle dependent; engine-out differences may result from different engine operating point; and selective catalyst reduction temperature may play a role, but does not explain the whole story.

  19. Control of Flywheel Energy Storage Systems in Electrical Vehicle Charging Stations

    DEFF Research Database (Denmark)

    Sun, Bo

    energy storage system (FESS). The proposed PhD project supports a corresponding smart control strategy that could be termed “charging station to grid (CS2G)”. It explores the possibility of using a dedicated energy storage system (FESS) within the charging station to alleviate grid and market conditions...... converters is built and analyzed. |Based on modeling analysis, centralized and distributed control methods are both explored to realize the coordination control of each components in the system. Specially, this project proposes a “dc voltage vs speed” droop strategy for FESS control based on distributed bus...... function method when the system switches its operation behavior between two modes. Finally, a downscaled FCS prototype with FESS is built in the intelligent MG lab, and experiments and hardware-in-loop simulation results are conducted to verify the effectiveness and feasibility with the proposed FCS...

  20. A Method to Simultaneously Detect the Current Sensor Fault and Estimate the State of Energy for Batteries in Electric Vehicles.

    Science.gov (United States)

    Xu, Jun; Wang, Jing; Li, Shiying; Cao, Binggang

    2016-08-19

    Recently, State of energy (SOE) has become one of the most fundamental parameters for battery management systems in electric vehicles. However, current information is critical in SOE estimation and current sensor is usually utilized to obtain the latest current information. However, if the current sensor fails, the SOE estimation may be confronted with large error. Therefore, this paper attempts to make the following contributions: Current sensor fault detection and SOE estimation method is realized simultaneously. Through using the proportional integral observer (PIO) based method, the current sensor fault could be accurately estimated. By taking advantage of the accurate estimated current sensor fault, the influence caused by the current sensor fault can be eliminated and compensated. As a result, the results of the SOE estimation will be influenced little by the fault. In addition, the simulation and experimental workbench is established to verify the proposed method. The results indicate that the current sensor fault can be estimated accurately. Simultaneously, the SOE can also be estimated accurately and the estimation error is influenced little by the fault. The maximum SOE estimation error is less than 2%, even though the large current error caused by the current sensor fault still exists.

  1. Alternative Fuels Data Center: Hybrid Electric Vehicles

    Science.gov (United States)

    . A wide variety of hybrid electric vehicle models is currently available. Although HEVs are often -go traffic), further improving fuel economy. Mild hybrid systems cannot power the vehicle using Hybrid Electric Vehicles to someone by E-mail Share Alternative Fuels Data Center: Hybrid Electric

  2. Moving from assumption to observation: Implications for energy and emissions impacts of plug-in hybrid electric vehicles

    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

  3. New Integrated Multilevel Converter for Switched Reluctance Motor Drives in Plug-in Hybrid Electric Vehicles with Flexible Energy Conversion

    DEFF Research Database (Denmark)

    Gan, Chun; Wu, Jianhua; Hu, Yihua

    2017-01-01

    This paper presents an integrated multilevel converter of switched reluctance motors (SRMs) fed by a modular front-end circuit for plug-in hybrid electric vehicle (PHEV) applications. Several operating modes can be achieved by changing the on-off states of the switches in the front-end circuit......, the battery can be charged by the external AC source or generator when the vehicle is in standstill condition. The SRM-based PHEV can operate at different speeds by coordinating power flow from the generator and battery. Simulation in MATLAB/Simulink and experiments on a three-phase 12/8 SRM confirm...

  4. Accounting for electric vehicles in air quality conformity \\0x2012 final report.

    Science.gov (United States)

    2014-12-01

    Electric vehicles (EVs) obtain at least a part of the energy required for their propulsion from electricity. The : market for EVs, including hybrid, plug-in hybrid, and battery electric vehicles continues to grow, as many : new and affordable models ...

  5. ROMO - The Robotic Electric Vehicle

    OpenAIRE

    Brembeck, Jonathan; Ho, Lok Man; Schaub, Alexander; Satzger, Clemens; Tobolar, Jakub; Bals, Johann; Hirzinger, Gerhard

    2011-01-01

    This paper outlines the development of the ROboMObil, an innovative electro-mobility concept based on intelligent central control of four Wheel Robots, which integrate the drivetrain, brakes, steering and dampers. The motivation behind the Wheel Robot concept, the implementation details together with the suspension design are described. The electric power system, consisting of a Li-Ion battery cluster to provide high-voltage power for propulsion and a low-voltage supply for vehicle control, i...

  6. Electric vehicle charge patterns and the electricity generation mix and competitiveness of next generation vehicles

    International Nuclear Information System (INIS)

    Masuta, Taisuke; Murata, Akinobu; Endo, Eiichi

    2014-01-01

    Highlights: • The energy system of whole of Japan is analyzed in this study. • An advanced model based on MARKAL is used for the energy system analysis. • The impact of charge patterns of EVs on electricity generation mix is evaluated. • Technology competitiveness of the next generation vehicles is also evaluated. - Abstract: The nuclear accident of 2011 brought about a reconsideration of the future electricity generation mix of power systems in Japan. A debate on whether to phase out nuclear power plants and replace them with renewable energy sources is taking place. Demand-side management becomes increasingly important in future Japanese power systems with a large-scale integration of renewable energy sources. This paper considers the charge control of electric vehicles (EVs) through demand-side management. There have been many studies of the control or operation methods of EVs known as vehicle-to-grid (V2G), and it is important to evaluate both their short-term and long-term operation. In this study, we employ energy system to evaluate the impact of the charge patterns of EVs on both the electricity generation mix and the technology competitiveness of the next generation vehicles. An advanced energy system model based on Market Allocation (MARKAL) is used to consider power system control in detail

  7. Flinders University Electric Vehicle Project

    Science.gov (United States)

    Atkinson, D. A.

    1973-01-01

    Outlines the specifications and principles involved in the operation of an electric car developed by the Institute of Solar and Electochemical Energy Conversion at Flinders University in South Australia. (JR)

  8. Electric vehicle equipment for grid-integrated vehicles

    Science.gov (United States)

    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.

  9. Systems Engineering of Electric and Hybrid Vehicles

    Science.gov (United States)

    Kurtz, D. W.; Levin, R. R.

    1986-01-01

    Technical paper notes systems engineering principles applied to development of electric and hybrid vehicles such that system performance requirements support overall program goal of reduced petroleum consumption. Paper discusses iterative design approach dictated by systems analyses. In addition to obvious peformance parameters of range, acceleration rate, and energy consumption, systems engineering also considers such major factors as cost, safety, reliability, comfort, necessary supporting infrastructure, and availability of materials.

  10. Comparative analysis of two hybrid energy storage systems used in a two front wheel driven electric vehicle during extreme start-up and regenerative braking operations

    International Nuclear Information System (INIS)

    Itani, Khaled; De Bernardinis, Alexandre; Khatir, Zoubir; Jammal, Ahmad

    2017-01-01

    Highlights: • Comparison of HESS Ultracapacitor and Flywheel for maximizing EV energy recovery. • Energy recovery performed for extreme two front-wheel driven EV brake conditions. • Regenerative EV braking control strategies and constraints for HESS. • Comparative cost effectiveness for two HESS solutions Ultracapacitors and Flywheel. - Abstract: This paper presents the comparative study of two hybrid energy storage systems (HESS) of a two front wheel driven electric vehicle. The primary energy source of the HESS is a Li-Ion battery, whereas the secondary energy source is either an ultracapacitor (UC) or a flywheel energy system (FES). The main role of the secondary source is to deliver/recover energy during high peak power demand, but also to increase battery lifetime, considered among the most expensive items in the electric vehicle. As a first step, a techno-economic comparative study, supported by strong literature research, is performed between the UC and the FES. The design and sizing of each element will be presented. The comparison criteria and specifications are also described. The adopted approach in this paper is based on an academic non-oriented point of view. In a second step, each of the HESS will be integrated in a more global Simulink model which includes the vehicle model, the traction control system (TCS), the regenerative braking system and the vehicle actuators. Simulation tests are performed for an extreme braking and vehicle starting-up operations. Tests are realized on two different surface road types and conditions (high and low friction roads) and for different initial system states. In order to show the most appropriate storage system regarding compactness, weight and battery constraints minimization, deep comparative analysis is provided.

  11. Dynamic electricity pricing for electric vehicles using stochastic programming

    International Nuclear Information System (INIS)

    Soares, João; Ghazvini, Mohammad Ali Fotouhi; Borges, Nuno; Vale, Zita

    2017-01-01

    Electric Vehicles (EVs) are an important source of uncertainty, due to their variable demand, departure time and location. In smart grids, the electricity demand can be controlled via Demand Response (DR) programs. Smart charging and vehicle-to-grid seem highly promising methods for EVs control. However, high capital costs remain a barrier to implementation. Meanwhile, incentive and price-based schemes that do not require high level of control can be implemented to influence the EVs' demand. Having effective tools to deal with the increasing level of uncertainty is increasingly important for players, such as energy aggregators. This paper formulates a stochastic model for day-ahead energy resource scheduling, integrated with the dynamic electricity pricing for EVs, to address the challenges brought by the demand and renewable sources uncertainty. The two-stage stochastic programming approach is used to obtain the optimal electricity pricing for EVs. A realistic case study projected for 2030 is presented based on Zaragoza network. The results demonstrate that it is more effective than the deterministic model and that the optimal pricing is preferable. This study indicates that adequate DR schemes like the proposed one are promising to increase the customers' satisfaction in addition to improve the profitability of the energy aggregation business. - Highlights: • A stochastic model for energy scheduling tackling several uncertainty sources. • A two-stage stochastic programming is used to tackle the developed model. • Optimal EV electricity pricing seems to improve the profits. • The propose results suggest to increase the customers' satisfaction.

  12. Regulatory adaptation: Accommodating electric vehicles in a petroleum world

    International Nuclear Information System (INIS)

    Lutsey, Nicholas; Sperling, Daniel

    2012-01-01

    This paper addresses the policy challenges of adjusting established regulations to accommodate evolving and new technologies. We examine energy and emissions regulations for older petroleum powered vehicles and newer plug-in electric vehicles. Until now, vehicle regulations across the world have ignored energy consumption and emissions upstream of the vehicle (at refineries, pipelines, etc), largely because of the convenient fact that upstream emissions and energy use are nearly uniform across petroleum-fueled vehicles and play a relatively minor role in total lifecycle emissions. Including upstream impacts would greatly complicate the regulations. But because the vast majority of emissions and energy consumption for electric vehicles (and hydrogen and, to a lesser extent, biofuels) are upstream, the old regulatory design is no longer valid. The pressing regulatory question is whether to assign upstream GHG emissions to electric vehicles, or not, and if so, how. We find that assigning zero upstream emissions—as a way of incentivizing the production and sale of PEVs—would eventually lead to an erosion of 20% of the GHG emission benefits from new vehicles, assuming fixed vehicle standards. We suggest alternative policy mechanisms and strategies to account for upstream emissions and energy use. - Highlights: ► We quantify the effects of electric vehicles within greenhouse gas (GHG) regulation. ► Electric vehicle GHG impacts are substantial and vary greatly by grid power sources. ► Existing “zero emission” electric vehicle incentives undermine regulation benefits. ► 10% electric vehicle sales leads to 20% erosion in regulation benefits by 2020–2025. ► Lifecycle crediting improves policy cost-effectiveness and technology neutrality.

  13. Thermal Management of Power Electronics and Electric Motors for Electric-Drive Vehicles (Presentation)

    Energy Technology Data Exchange (ETDEWEB)

    Narumanchi, S.

    2014-09-01

    This presentation is an overview of the power electronics and electric motor thermal management and reliability activities at NREL. The focus is on activities funded by the Department of Energy Vehicle Technologies Office Advanced Power Electronics and Electric Motors Program.

  14. Mobility in Turkey. Electric Vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Yazgan, M. [Embassy of the Kingdom of the Netherlands, Turan Gunes Bulvari, Hollanda Caddesi, No.5,06550 Yildiz-Ankara (Turkey)

    2013-01-15

    The purpose of this report is to provide information about electric vehicles (EVs) and e-mobility as an emerging market in Turkey. EVs receive attention from the Turkish government for a number of reasons: Turkey has a strong automotive industry and needs to follow the technological developments taking place regarding intelligent vehicles and intelligent transport systems, as well as electric transportation technologies. Secondly, a considerable amount of carbon emissions from motor vehicles is of great concern in relation to climate change. EVs might be an alternative which can break the dependence of Turkey on imported fuel that has a negative influence on its current account deficit (CAD). On top of these factors, the Prime Minister of Turkey has a desire to have a 'Local Brand Vehicle' before the 100th year of the establishment of the Republic in 2023 and preferably an 'EV'. EVs are included in the strategy documents and action plans of almost all ministries and public institutions. Among all ministries, the Ministry of Science, Industry and Technology (MoSI and T) takes a leading position. It holds bi-annual meetings with stakeholders to monitor and evaluate progress about the level of actualization of the identified policies on e-mobility. MoSI and T's related institution of the Scientific and Technological Research Council of Turkey (TUBITAK) co-ordinates the R and D activities and provides generous R and D incentives. EVs have been put on sale in Turkey in 2012 and are still very limited in number. Public institutions are taking the lead by converting their vehicle fleet to EVs. EVs are also more suitable for businesses/ duties with a fixed/short route; therefore it is expected that the growth of the sector will mainly come from the vehicle fleet of the public organisations and institutions, followed by the private vehicle fleet of companies, e.g. freight companies. Although there are some on-going test drives, it is not yet proven

  15. Kinetic energy recovery systems in motor vehicles

    Science.gov (United States)

    Śliwiński, C.

    2016-09-01

    The article draws attention to the increasing environmental pollution caused by the development of vehicle transport and motorization. Different types of design solutions used in vehicles for the reduction of fuel consumption, and thereby emission of toxic gasses into the atmosphere, were specified. Historical design solutions concerning energy recovery devices in mechanical vehicles which used flywheels to accumulate kinetic energy were shown. Developmental tendencies in the area of vehicle manufacturing in the form of hybrid electric and electric devices were discussed. Furthermore, designs of energy recovery devices with electrical energy storage from the vehicle braking and shock absorbing systems were presented. A mechanical energy storing device using a flywheel operating under vacuum was presented, as were advantages and disadvantages of both systems, the limitations they impose on individual constructions and safety issues. The paper also discusses a design concept of an energy recovery device in mechanical vehicles which uses torsion springs as the main components of energy accumulation during braking. The desirability of a cooperation of both the mechanical- and electrical energy recovery devices was indicated.

  16. Grid Integration of Electric Vehicles in Open Electricity Markets

    DEFF Research Database (Denmark)

    congestion management scenario within electric distribution networks •optimal EV charging management with the fleet operator concept and smart charging management •EV battery technology, modelling and tests •the use of EVs for balancing power fluctuations from renewable energy sources, looking at power......Presenting the policy drivers, benefits and challenges for grid integration of electric vehicles (EVs) in the open electricity market environment, this book provides a comprehensive overview of existing electricity markets and demonstrates how EVs are integrated into these different markets...... of the technologies for EV integration, this volume is informative for research professors and graduate students in power systems; it will also appeal to EV manufacturers, regulators, EV market professionals, energy providers and traders, mobility providers, EV charging station companies, and policy makers....

  17. Electric Vehicles at Kennedy Space Center

    Science.gov (United States)

    Chesson, Bruce E.

    2007-01-01

    The story of how the transportation office began by introducing low speed electric cars (LSEV) to the fleet managers and employees. This sparked and interest in purchasing some of these LSEV and the usage on KSC. Transportation was approached by a vender of High Speed Electric Vehicle (HSEV) we decided to test the HSEV to see if they would meet our fleet vehicle needs. Transportation wrote a Space Act Agreement (SAA) for the loan of three Lithium Powered Electric vehicles for a one year test. The vehicles have worked very well and we have extended the test for another year. The use of HSEV has pushed for an independent Electric Vehicle Study to be performed to consider ways to effectively optimize the use of electric vehicles in replacement of gasoline vehicles in the KSC vehicle fleet. This will help the center to move closer to meeting the Executive Order 13423.

  18. 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.

  19. Near-term electric vehicle program: Phase I, final report

    Energy Technology Data Exchange (ETDEWEB)

    Rowlett, B. H.; Murry, R.

    1977-08-01

    A final report is given for an Energy Research and Development Administration effort aimed at a preliminary design of an energy-efficient electric commuter car. An electric-powered passenger vehicle using a regenerative power system was designed to meet the near-term ERDA electric automobile goals. The program objectives were to (1) study the parameters that affect vehicle performance, range, and cost; (2) design an entirely new electric vehicle that meets performance and economic requirements; and (3) define a program to develop this vehicle design for production in the early 1980's. The design and performance features of the preliminary (baseline) electric-powered passenger vehicle design are described, including the baseline power system, system performance, economic analysis, reliability and safety, alternate designs and options, development plan, and conclusions and recommendations. All aspects of the baseline design were defined in sufficient detail to verify performance expectations and system feasibility.

  20. A prospective assessment of electric vehicles

    International Nuclear Information System (INIS)

    2011-01-01

    This document proposes a synthetic version of a cost-benefit analysis study of the development of electric vehicles (all-electric vehicles and hybrid-re-chargeable vehicles) by 2020. The authors have assessed the replacement of a conventional thermal engine vehicle by an electric vehicle. They comment the results obtained for the both types of electric vehicle. They outline that costs of ownership of electric vehicles are higher in 2010 but become competitive in 2020, and that environmental benefits are already present in 2010 but depend on the electricity production mode. They observe that some other environmental impacts are not taken into account, outline that a recharge station network has to be developed, and discuss the cost of this infrastructure

  1. City of Las Vegas Plug-in Hybrid Electric Vehicle Demonstration Program

    Energy Technology Data Exchange (ETDEWEB)

    None

    2013-12-31

    The City of Las Vegas was awarded Department of Energy (DOE) project funding in 2009, for the City of Las Vegas Plug-in Hybrid Electric Vehicle Demonstration Program. This project allowed the City of Las Vegas to purchase electric and plug-in hybrid electric vehicles and associated electric vehicle charging infrastructure. The City anticipated the electric vehicles having lower overall operating costs and emissions similar to traditional and hybrid vehicles.

  2. Electric and Conventional Vehicle Driving Patterns

    DEFF Research Database (Denmark)

    Krogh, Benjamin Bjerre; Andersen, Ove; Torp, Kristian

    2014-01-01

    The electric vehicle (EV) is an interesting vehicle type that can reduce the dependence on fossil fuels, e.g., by using electricity from wind turbines. A significant disadvantage of EVs is a very limited range, typically less than 200 km. This paper compares EVs to conventional vehicles (CVs...

  3. Electric vehicle motors and controllers

    Science.gov (United States)

    Secunde, R. R.

    1981-01-01

    Improved and advanced components being developed include electronically commutated permanent magnet motors of both drum and disk configuration, an unconventional brush commutated motor, and ac induction motors and various controllers. Test results on developmental motors, controllers, and combinations thereof indicate that efficiencies of 90% and higher for individual components, and 80% to 90% for motor/controller combinations can be obtained at rated power. The simplicity of the developmental motors and the potential for ultimately low cost electronics indicate that one or more of these approaches to electric vehicle propulsion may eventually displace presently used controllers and brush commutated dc motors.

  4. Vehicles under electricity. Result booklet; Autos unter Strom. Ergebnisbroschuere

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-09-15

    The booklet under consideration reports on the environmental relief of electric-driven vehicles by means of the research project OPTUM 'Potentials of environmental relief of electric driven vehicles - Integrated analysis of vehicle usage and energy economy'. Experts from the Institute for Applied Ecology (Freiburg, Federal Republic of Germany) and the Institute for Social-Ecological Research (Frankfurt (Main), Federal Republic of Germany) are devoted to the following issues: (1) What is the acceptance for electric-driven vehicles?; (2) What is their future market potential?; (3) What are the advantages of electromobility with respect to the climate?; (4) Are their supply shortages concerning major raw materials?.

  5. The electric vehicles as a mean to reduce CO2 emissions and energy costs in isolated regions. The São Miguel (Azores) case study

    International Nuclear Information System (INIS)

    Camus, Cristina; Farias, Tiago

    2012-01-01

    Most of small islands around the world today, are dependent on imported fossil fuels for the majority of their energy needs especially for transport activities and electricity production. The use of locally renewable energy resources and the implementation of energy efficiency measures could make a significant contribution to their economic development by reducing fossil fuel imports. An electrification of vehicles has been suggested as a way to both reduce pollutant emissions and increase security of supply of the transportation sector by reducing the dependence on oil products imports and facilitate the accommodation of renewable electricity generation, such as wind and, in the case of volcanic islands like São Miguel (Azores) of the geothermal energy whose penetration has been limited by the valley electricity consumption level. In this research, three scenarios of EV penetration were studied and it was verified that, for a 15% LD fleet replacement by EVs with 90% of all energy needs occurring during the night, the accommodation of 10 MW of new geothermal capacity becomes viable. Under this scenario, reductions of 8% in electricity costs, 14% in energy, 23% in fossil fuels use and CO 2 emissions for the transportation and electricity production sectors could be expected. - Highlights: ► EVs impacts on the electric system in energy and power profiles, costs and emissions. ► At least an EV penetration of 15% is needed to allow new geothermal power production. ► Reductions in energy, fossil fuels use and CO 2 emissions of 9%, 16% and 17% respectively. ► Electricity production with more % of renewable technologies reduces unit costs.

  6. The Novel Application of Optimization and Charge Blended Energy Management Control for Component Downsizing within a Plug-in Hybrid Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Ravi Shankar

    2012-11-01

    Full Text Available  The adoption of Plug-in Hybrid Electric Vehicles (PHEVs is widely seen as an interim solution for the decarbonization 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, design and integration of battery systems is often cited as one of the main barriers to vehicle commercialization. The ability to integrate the optimization of the energy management control system with the sizing of key PHEV powertrain components presents a significant area of research. Contained within this paper is an optimization study in which a charge blended strategy is used to facilitate the downsizing of the electrical machine, the internal combustion engine and the high voltage battery. An improved Equivalent Consumption Method has been used to manage the optimal power split within the powertrain as the PHEV traverses a range of different drivecycles. For a target CO2 value and drivecycle, results show that this approach can yield significant downsizing opportunities, with cost reductions on the order of 2%–9% being realizable.

  7. Electric vehicle system for charging and supplying electrical power

    Science.gov (United States)

    Su, Gui Jia

    2010-06-08

    A power system that provides power between an energy storage device, an external charging-source/load, an onboard electrical power generator, and a vehicle drive shaft. The power system has at least one energy storage device electrically connected across a dc bus, at least one filter capacitor leg having at least one filter capacitor electrically connected across the dc bus, at least one power inverter/converter electrically connected across the dc bus, and at least one multiphase motor/generator having stator windings electrically connected at one end to form a neutral point and electrically connected on the other end to one of the power inverter/converters. A charging-sourcing selection socket is electrically connected to the neutral points and the external charging-source/load. At least one electronics controller is electrically connected to the charging-sourcing selection socket and at least one power inverter/converter. The switch legs in each of the inverter/converters selected by the charging-source/load socket collectively function as a single switch leg. The motor/generators function as an inductor.

  8. Comparisons of Energy Management Methods for a Parallel Plug-In Hybrid Electric Vehicle between the Convex Optimization and Dynamic Programming

    Directory of Open Access Journals (Sweden)

    Renxin Xiao

    2018-01-01

    Full Text Available This paper proposes a comparison study of energy management methods for a parallel plug-in hybrid electric vehicle (PHEV. Based on detailed analysis of the vehicle driveline, quadratic convex functions are presented to describe the nonlinear relationship between engine fuel-rate and battery charging power at different vehicle speed and driveline power demand. The engine-on power threshold is estimated by the simulated annealing (SA algorithm, and the battery power command is achieved by convex optimization with target of improving fuel economy, compared with the dynamic programming (DP based method and the charging depleting–charging sustaining (CD/CS method. In addition, the proposed control methods are discussed at different initial battery state of charge (SOC values to extend the application. Simulation results validate that the proposed strategy based on convex optimization can save the fuel consumption and reduce the computation burden obviously.

  9. A comparison of electric vehicle integration projects

    DEFF Research Database (Denmark)

    Andersen, Peter Bach; Garcia-Valle, Rodrigo; Kempton, Willett

    2012-01-01

    .g. utilization of electric vehicles for ancillary services. To arrive at standardized solutions, it is helpful to analyze the market integration and utilization concepts, architectures and technologies used in a set of state-of-the art electric vehicle demonstration projects. The goal of this paper......It is widely agreed that an intelligent integration of electric vehicles can yield benefits for electric vehicle owner, power grid, and the society as a whole. Numerous electric vehicle utilization concepts have been investigated ranging from the simple e.g. delayed charging to the more advanced e...... is to highlight different approaches to electric vehicle integration in three such projects and describe the underlying technical components which should be harmonized to support interoperability and a broad set of utilization concepts. The projects investigated are the American University of Delaware's V2G...

  10. 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...

  11. Inductively coupled power systems for electric vehicles: a fourth dimension

    Energy Technology Data Exchange (ETDEWEB)

    Bolger, J G

    1980-09-01

    There are three traditional methods of supplying energy to electric vehicles. The inductively coupled roadway power system is a fourth method that adds important new dimensions to electric-vehicle capabilities. It efficiently transfers power to moving vehicles without physical contact, freeing the electric vehicle from most of the applicational constraints imposed by the other three methods. The single power conductor in the roadway carries several hundred amperes of alternating current. The current causes a weak magnetic flux to circulate through the air above it when a vehicle's power pickup is not present. When a vehicle's pickup is suported over the inductor, a more intense flux circulates through the steel cores in the road and in the pickup. Applications, electrical safety, and present status of the technology are discussed in the paper presented at the St. Louis EXPO '80.

  12. Electric vehicle life cycle cost analysis : final research project report.

    Science.gov (United States)

    2017-02-01

    This project compared total life cycle costs of battery electric vehicles (BEV), plug-in hybrid electric vehicles (PHEV), hybrid electric vehicles (HEV), and vehicles with internal combustion engines (ICE). The analysis considered capital and operati...

  13. A Mixed Logical Dynamical-Model Predictive Control (MLD-MPC Energy Management Control Strategy for Plug-in Hybrid Electric Vehicles (PHEVs

    Directory of Open Access Journals (Sweden)

    Jing Lian

    2017-01-01

    Full Text Available Plug-in hybrid electric vehicles (PHEVs can be considered as a hybrid system (HS which includes the continuous state variable, discrete event, and operation constraint. Thus, a model predictive control (MPC strategy for PHEVs based on the mixed logical dynamical (MLD model and short-term vehicle speed prediction is proposed in this paper. Firstly, the mathematical model of the controlled PHEV is set-up to evaluate the energy consumption using the linearized models of core power components. Then, based on the recognition of driving intention and the past vehicle speed data, a nonlinear auto-regressive (NAR neural network structure is designed to predict the vehicle speed for known driving profiles of city buses and the predicted vehicle speed is used to calculate the total required torque. Next, a MLD model is established with appropriate constraints for six possible driving modes. By solving the objective function with the Mixed Integer Linear Programming (MILP algorithm, the optimal motor torque and the corresponding driving mode sequence within the speed prediction horizon can be obtained. Finally, the proposed energy control strategy shows substantial improvement in fuel economy in the simulation results.

  14. 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...

  15. 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)

  16. Comparison of Different Battery Types for Electric Vehicles

    Science.gov (United States)

    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.

  17. Continuous Steering Stability Control Based on an Energy-Saving Torque Distribution Algorithm for a Four in-Wheel-Motor Independent-Drive Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Li Zhai

    2018-02-01

    Full Text Available In this paper, a continuous steering stability controller based on an energy-saving torque distribution algorithm is proposed for a four in-wheel-motor independent-drive electric vehicle (4MIDEV to improve the energy consumption efficiency while maintaining the stability in steering maneuvers. The controller is designed as a hierarchical structure, including the reference model level, the upper-level controller, and the lower-level controller. The upper-level controller adopts the direct yaw moment control (DYC, which is designed to work continuously during the steering maneuver to better ensure steering stability in extreme situations, rather than working only after the vehicle is judged to be unstable. An adaptive two-hierarchy energy-saving torque distribution algorithm is developed in the lower-level controller with the friction ellipse constraint as a basis for judging whether the algorithm needs to be switched, so as to achieve a more stable and energy-efficient steering operation. The proposed stability controller was validated in a co-simulation of CarSim and Matlab/Simulink. The simulation results under different steering maneuvers indicate that the proposed controller, compared with the conventional servo controller and the ordinary continuous controller, can reduce energy consumption up to 23.68% and improve the vehicle steering stability.

  18. Means to estimate the influence of user variables on a smart integration of electric vehicles into the future energy grid; Methoden zur Bestimmung des Nutzereinflusses auf eine intelligente Integration von Elektrofahrzeugen in das zukuenftige Energienetz

    Energy Technology Data Exchange (ETDEWEB)

    Hahnel, Ulf J.J. [Fraunhofer-Institut fuer Solare Energiesysteme (ISE), Freiburg im Breisgau (Germany); Freiburg Univ. (Germany). Inst. fuer Psychologie; Benoit, Pascal; Goelz, Sebastian; Kohrs, Robert [Fraunhofer-Institut fuer Solare Energiesysteme (ISE), Freiburg im Breisgau (Germany); Spada, Hans [Freiburg Univ. (Germany). Inst. fuer Psychologie

    2012-07-01

    A smart integration of electric vehicles into the future energy grid guarantees for matching energy demand and supply. To sufficiently integrate electric vehicles into the energy grid, it is necessary to maximize the vehicles' availability for intelligent charging processes. However, the availability highly depends on the motivation and skills of their users. Future drivers have to decide whether they want to initiate direct or intelligent charging processes. In case of intelligent charging processes, the systems require information about upcoming departure times and trip lengths. Inaccurate user predictions may reduce vehicles' availability for intelligent charging processes or may lead to insufficient battery levels. In the present paper, we investigate the influence of user variables on electric vehicles' availability for smart integration. We use data from psychological research that allows for comparing mobility predictions with actual mobility. We further technologically interpret data and display means to account for user variables in future charging scenarios. (orig.)

  19. Vehicle to Electric Vehicle Supply Equipment Smart Grid Communications Interface Research and Testing Report

    Energy Technology Data Exchange (ETDEWEB)

    Kevin Morrow; Dimitri Hochard; Jeff Wishart

    2011-09-01

    Plug-in electric vehicles (PEVs), including battery electric, plug-in hybrid electric, and extended range electric vehicles, are under evaluation by the U.S. Department of Energy's Advanced Vehicle Testing Activity (AVTA) and other various stakeholders to better understand their capability and potential petroleum reduction benefits. PEVs could allow users to significantly improve fuel economy over a standard hybrid electric vehicles, and in some cases, depending on daily driving requirements and vehicle design, PEVs may have the ability to eliminate petroleum consumption entirely for daily vehicle trips. The AVTA is working jointly with the Society of Automotive Engineers (SAE) to assist in the further development of standards necessary for the advancement of PEVs. This report analyzes different methods and available hardware for advanced communications between the electric vehicle supply equipment (EVSE) and the PEV; particularly Power Line Devices and their physical layer. Results of this study are not conclusive, but add to the collective knowledge base in this area to help define further testing that will be necessary for the development of the final recommended SAE communications standard. The Idaho National Laboratory and the Electric Transportation Applications conduct the AVTA for the United States Department of Energy's Vehicle Technologies Program.

  20. DEVELOPING CONVENIENT MOTOR SELECTION ALGORITHM ACCORDING TO ROAD CONDITIONS IN ELECTRIC VEHICLES

    OpenAIRE

    BAŞER, EKREM; ALTUN, YUSUF

    2016-01-01

    Nowadays, automotive industry is tending to electric vehicles due to reduction of fuel reserves in order to save energy, reduce air pollution and carbon emission. With the impact of technological advencements on battery and power electronics, the studies on electric vehicles have been gradually increased and many of automobile manifacturers have produced new electric vehicles. Different type of electric motors has been tried on electric vehicles until today. This motors have difference feautu...

  1. The Nikola project intelligent electric vehicle integration

    DEFF Research Database (Denmark)

    Andersen, Peter Bach; Marinelli, Mattia; Olesen, Ole Jan

    2014-01-01

    The electric vehicle (EV) has certain properties that elevate its relevance to the smart grid. If EV integration is to meet its potential in supporting an economic and secure power system and at the same time lower the operating costs for the owner, it is necessary to thoroughly and systematically...... investigate the value-adding services that an EV may provide. The Danish Nikola project defines EV services as the act of influencing the timing, rate and direction of the power and energy exchanged between the EV battery and the grid to yield benefits for user, system, and society. This paper describes...

  2. Environmental assessment of lightweight electric vehicles

    CERN Document Server

    Egede, Patricia

    2017-01-01

    This monograph adresses the challenge of the environmental assessment of leightweight electric vehicles. It poses the question whether the use of lightweight materials in electric vehicles can reduce the vehicles’ environmental impact and compares the environmental performance of a lightweight electric vehicle (LEV) to other types of vehicles. The topical approach focuses on methods from life cycle assessment (LCA), and the book concludes with a comprehensive concept on the environmental assessment of LEVs. The target audience primarily comprises LCA practitioners from research institutes and industry, but it may also be beneficial for graduate students specializing in the field of environmental assessment.

  3. The Federal electric and hybrid vehicle program

    Science.gov (United States)

    Schwartz, H. J.

    1980-01-01

    The commercial development and use of electric and hybrid vehicles is discussed with respect to its application as a possible alternative transportation system. A market demonstration is described that seeks to place 10,000 electric hybrid vehicles into public and private sector demonstrations.

  4. Hybrid and Electric Advanced Vehicle Systems Simulation

    Science.gov (United States)

    Beach, R. F.; Hammond, R. A.; Mcgehee, R. K.

    1985-01-01

    Predefined components connected to represent wide variety of propulsion systems. Hybrid and Electric Advanced Vehicle System (HEAVY) computer program is flexible tool for evaluating performance and cost of electric and hybrid vehicle propulsion systems. Allows designer to quickly, conveniently, and economically predict performance of proposed drive train.

  5. Electric Vehicle Grid Integration | Transportation Research | NREL

    Science.gov (United States)

    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

  6. 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...

  7. 26 CFR 1.30-1 - Definition of qualified electric vehicle and recapture of credit for qualified electric vehicle.

    Science.gov (United States)

    2010-04-01

    ... qualified electric vehicle. A qualified electric vehicle is a motor vehicle that meets the requirements of section 30(c). Accordingly, a qualified electric vehicle does not include any motor vehicle that has ever been used (for either personal or business use) as a non-electric vehicle. (b) Recapture of credit for...

  8. Feasibility study on combined use of residential SOFC cogeneration system and plug-in hybrid electric vehicle from energy-saving viewpoint

    International Nuclear Information System (INIS)

    Wakui, Tetsuya; Wada, Naohiro; Yokoyama, Ryohei

    2012-01-01

    Highlights: ► Optimal operational planning for combined use of SOFC-CGS and PHEV is conducted. ► Charging PHEV with SOFC-CGS increases electric capacity factor of SOFC-CGS. ► Energy-saving effect of combined use is higher than that of their separate use. ► Combined use provides energy savings in both residential and transport sectors. - Abstract: The energy-saving effect of a combined use of a residential solid oxide fuel cell cogeneration system (SOFC-CGS) that adopts a continuous operation, and a plug-in hybrid electric vehicle (PHEV) is discussed by optimal operational planning based on mixed-integer linear programming. This combined use aims to increase the electric capacity factor of the SOFC-CGS by charging the PHEV using the SOFC-CGS electric power output late at night, and targets the application in regions where the reverse power flow from residential cogeneration systems to commercial electric power systems is not permitted, like in Japan. The optimal operation patterns of the combined use of 0.7-kWe SOFC-CGS and PHEV for a simulated energy demand with a sampling time of 1 h and various daily running distances of the PHEV show that this combined use increases the electric capacity factor of the SOFC-CGS and saves more energy in comparison with their separate use in which the SOFC-CGS is used but the PHEV is charged only with purchased electric power. Furthermore, it is found that at the PHEV daily running distance of 12 km/d, the reduction rate of the annual primary energy consumption for this combined use increases by up to 3.7 percentage points relative to their separate use. Consequently, this feasibility study reveals that the combined use of the SOFC-CGS and PHEV provides the synergistic effect on energy savings in the residential and transport sectors. For the practical use, simulation scenarios considering the energy demand fluctuations with short periods and real-time pricing of the purchased electric power must be considered as future

  9. Long-term impacts of battery electric vehicles on the German electricity system

    Science.gov (United States)

    Heinrichs, H. U.; Jochem, P.

    2016-05-01

    The emerging market for electric vehicles gives rise to an additional electricity demand. This new electricity demand will affect the electricity system. For quantifying those impacts a model-based approach, which covers long-term time horizons is necessary in order to consider the long lasting investment paths in electricity systems and the market development of electric mobility. Therefore, we apply a bottom-up electricity system model showing a detailed spatial resolution for different development paths of electric mobility in Germany until 2030. This model is based on a linear optimization which minimizes the discounted costs of the electricity system. We observe an increase of electricity exchange between countries and electricity generated by renewable energy sources. One major result turns out to be that electric vehicles can be integrated in the electricity system without increasing the system costs when a controlled (postponing) charging strategy for electric vehicles is applied. The impact on the power plant portfolio is insignificant. Another important side effect of electric vehicles is their substantial contribution to decreasing CO2 emissions of the German transport sector. Hence, electric mobility might be an integral part of a sustainable energy system of tomorrow.

  10. Optimal Charge control of Electric Vehicles in Electricity Markets

    DEFF Research Database (Denmark)

    Lan, Tian; Hu, Junjie; Wu, Guang

    2011-01-01

    Environment constraints, petroleum scarcity, high price on fuel resources and recent advancements in battery technology have led to emergence of Electric Vehicles (EVs). As increasing numbers of EVs enter the electricity market, these extra loads may cause peak load and need to be properly...... controlled. In this paper, an algorithm is presented for every individual vehicles to minimize the charging cost while satisfying the vehicle owner’s requirements. The algorithm is based on a given future electricity prices and uses dynamic programming. Optimization aims to find the economically optimal...... solution for each vehicle....

  11. Electric vehicles: Technology assessment and commercialization

    International Nuclear Information System (INIS)

    Zabot, S.

    1991-01-01

    This article traces the history of commercialization efforts relative to electric vehicles, assesses the state-of-the-art of electric vehicle technology and identifies the industrial firms that are investing heavily in this field. The main design problems affecting the commercialization of these vehicles (e.g., battery weight, autonomy, operating safety and toxicity) are pointed out. Comparisons of commercialization prospects are made with those for hydrogen fuelled vehicles. With regard to investments in research programs, it is argued that, in addition to car manufacturers and oil companies, the usual active participants in the transport sector, new participants are needed to give added support to the development of electric vehicles, namely, electric utilities and battery manufacturers

  12. Modular Energy Storage System for Alternative Energy Vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Thomas, Janice [Magna Electronics Inc., Auburn Hills, MI (United States); Ervin, Frank [Magna Electronics Inc., Auburn Hills, MI (United States)

    2012-05-15

    An electrical vehicle environment was established to promote research and technology development in the area of high power energy management. The project incorporates a topology that permits parallel development of an alternative energy delivery system and an energy storage system. The objective of the project is to develop technologies, specifically power electronics, energy storage electronics and controls that provide efficient and effective energy management between electrically powered devices in alternative energy vehicles plugin electric vehicles, hybrid vehicles, range extended vehicles, and hydrogen-based fuel cell vehicles. In order to meet the project objectives, the Vehicle Energy Management System (VEMS) was defined and subsystem requirements were obtained. Afterwards, power electronics, energy storage electronics and controls were designed. Finally, these subsystems were built, tested individually, and integrated into an electric vehicle system to evaluate and optimize the subsystems performance. Phase 1 of the program established the fundamental test bed to support development of an electrical environment ideal for fuel cell application and the mitigation of many shortcomings of current fuel cell technology. Phase 2, continued development from Phase 1, focusing on implementing subsystem requirements, design and construction of the energy management subsystem, and the integration of this subsystem into the surrogate electric vehicle. Phase 2 also required the development of an Alternative Energy System (AES) capable of emulating electrical characteristics of fuel cells, battery, gen set, etc. Under the scope of the project, a boost converter that couples the alternate energy delivery system to the energy storage system was developed, constructed and tested. Modeling tools were utilized during the design process to optimize both component and system design. This model driven design process enabled an iterative process to track and evaluate the impact

  13. Charging Schedule for Electric Vehicles in Danish Residential Distribution Grids

    DEFF Research Database (Denmark)

    Pillai, Jayakrishnan Radhakrishna; Huang, Shaojun; Bak-Jensen, Birgitte

    2015-01-01

    energy sources like wind in power systems. The EV batteries could be used to charge during periods of excess electricity production from wind power and reduce the charging rate or discharge on deficit of power in the grid, supporting system stability and reliability. By providing such grid services......The prospects of Electric Vehicles (EVs) in providing clean transportation and supporting renewable electricity is widely discussed in sustainable energy forums worldwide. The battery storage of EVs could be used to address the variability and unpredictability of electricity produced from renewable......, the vehicle owner, vehicle fleet operator and other parties involved in the process could economically benefit from the process. This paper investigates an optimal EV charging plan in Danish residential distribution grids in view of supporting high volumes of wind power in electricity grids. The results...

  14. Household vehicles energy consumption 1994

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-08-01

    Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

  15. An interval-possibilistic basic-flexible programming method for air quality management of municipal energy system through introducing electric vehicles.

    Science.gov (United States)

    Yu, L; Li, Y P; Huang, G H; Shan, B G

    2017-09-01

    Contradictions of sustainable transportation development and environmental issues have been aggravated significantly and been one of the major concerns for energy systems planning and management. A heavy emphasis is placed on stimulation of electric vehicles (EVs) to handle these problems associated with various complexities and uncertainties in municipal energy system (MES). In this study, an interval-possibilistic basic-flexible programming (IPBFP) method is proposed for planning MES of Qingdao, where uncertainties expressed as interval-flexible variables and interval-possibilistic parameters can be effectively reflected. Support vector regression (SVR) is used for predicting electricity demand of the city under various scenarios. Solutions of EVs stimulation levels and satisfaction levels in association with flexible constraints and predetermined necessity degrees are analyzed, which can help identify the optimized energy-supply patterns that could plunk for improvement of air quality and hedge against violation of soft constraints. Results disclose that largely developing EVs can help facilitate the city's energy system with an environment-effective way. However, compared to the rapid growth of transportation, the EVs' contribution of improving the city's air quality is limited. It is desired that, to achieve an environmentally sustainable MES, more concerns should be focused on the integration of increasing renewable energy resources, stimulating EVs as well as improving energy transmission, transport and storage. Copyright © 2017 Elsevier B.V. All rights reserved.

  16. Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil

    International Nuclear Information System (INIS)

    Soares MC Borba, Bruno; Szklo, Alexandre; Schaeffer, Roberto

    2012-01-01

    Several studies have proposed different tools for analyzing the integration of variable renewable energy into power grids. This study applies an optimization tool to model the expansion of the electric power system in northeastern Brazil, enabling the most efficient dispatch of the variable output of the wind farms that will be built in the region over the next 20 years. The expected combined expansion of wind generation with conventional inflexible generation facilities, such as nuclear plants and run-of-the-river hydropower plants, poses risks of future mismatch between supply and demand in northeastern Brazil. Therefore, this article evaluates the possibility of using a fleet of plug-in hybrid electric vehicles (PHEVs) to regularize possible energy imbalances. Findings indicate that a dedicated fleet of 500 thousand PHEVs in 2015, and a further 1.5 million in 2030, could be recharged overnight to take advantage of the surplus power generated by wind farms. To avoid the initial costs of smart grids, this article suggests, as a first step, the use of a governmental PHEV fleet that allows fleet managers to control battery charging times. Finally, the study demonstrates the advantages of optimizing simultaneously the power and transport sectors to test the strategy suggested here. -- Highlights: ► We evaluated the use of plug-in hybrid electric vehicles (PHEV) to regularize possible energy imbalances in northeastern Brazil. ► This imbalance might result from the large-scale wind power penetration along with conventional inflexible power plants in the region. ► We adapted the MESSAGE optimization tool to the base conditions of the Brazilian power system. ► 500 thousand PHEVs in 2015 and 1.5 million in 2030 could be recharged taking advantage of wind energy surplus.

  17. Optimal charging of electric drive vehicles in a market environment

    DEFF Research Database (Denmark)

    Kristoffersen, Trine Krogh; Capion, Karsten Emil; Meibom, Peter

    2011-01-01

    With a potential to facilitate the integration of renewable energy into the electricity system, electric drive vehicles may offer a considerable flexibility by allowing for charging and discharging when desired. This paper takes the perspective of an aggregator that manages the electricity market...... participation of a vehicle fleet and presents a framework for optimizing charging and discharging of the electric drive vehicles, given the driving patterns of the fleet and the variations in market prices of electricity. When the aggregator is a price-taker the optimization can be stated in terms of linear...... programming whereas a quadratic programming formulation is required when he/she has market power. A Danish case study illustrates the construction of representative driving patterns through clustering of survey data from Western Denmark and the prediction of electricity price variations through regression...

  18. A General Overview of Electric Road Vehicles

    International Nuclear Information System (INIS)

    Lamblin, Veronique

    2018-01-01

    In July 2017 Nicolas Hulot, the French Minister of Ecological and Inclusive Transition, presented a climate plan featuring an end to electricity generation from coal by 2022, a reduction in the nuclear component of electricity supply by one third, a total ban on the sale of petrol or diesel cars by 2040 and an incentive scheme designed gradually to remove polluting vehicles from the roads. Other European partners are following suit and promoting the spread of electric vehicles (Norway, Germany, Netherlands etc.). Yet is this the panacea that will meet the targets for greenhouse gas reduction in the battle against climate change? Futuribles examines the question in this issue with two articles: the first of these by Pierre Bonnaure, above, assesses the forces driving the spread of electric cars and the impediments to that process; this second article by Veronique Lamblin offers a general over - view of electric road vehicles (passenger cars, heavy good vehicles, bicycles etc.) throughout the world. (author)

  19. Comparison of electric drives for road vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Bader, C; Stephan, W [Deutsche Automobilgesellschaft m.b.H., Esslingen (Germany, F.R.)

    1977-01-01

    The low energy-storage capacity of the electrolytic energy-storage apparatus available at the moment limits the practical use of electric vehicles to meeting the requirements for restricted areas. But in this field of application, conversion from drive with internal combustion engine to electric drive can be considered only if a reduction of costs is achieved with electric drive. From the wide range of possible drive units the most suitable is found to be the dc squirrelcage motor the speed of which is controlled by field weakening. In the case of a motor with conventional design, the controllable drive range is limited to about 1 : 3, so that generally additional measures are required for extending the drive range. But if the motor is fitted with a compensation winding, field weakening to give a controlled speed range of 1 : 8 can be obtained. To evaluate the different drive units under consideration use is made of the acceleration when, according to the drive system, advantages are obtained from the point of view of energy consumption with disadvantages in acceleration time, and vice versa. By using vehicles proven in practice with different drive systems, either with hydrodynamic transducer and battery switchover, or else with changeover gear and mechanical clutch, the overall construction of the different control and protective arrangements are demonstrated. It is then found that the extra cost of regulation in the case of automatic drive operation is partly compensated by the additional protective devices which are required to limit the effects of any incorrect operations with a manually-operated drive.

  20. Prediction on the charging demand for electric vehicles in Chengdu

    Science.gov (United States)

    yun, Cai; wanquan, Zhang; wei, You; pan, Mao

    2018-03-01

    The development of the electric vehicle charging station facilities speed directly affect the development of electric vehicle speed. And the charging demand of electric vehicles is one of the main factors influencing the electric vehicle charging facilities. The paper collected and collated car ownership in recent years, the use of elastic coefficient to predict Chengdu electric vehicle ownership, further modeling to give electric vehicle charging demand.

  1. Impact of Different Driving Cycles and Operating Conditions on CO2 Emissions and Energy Management Strategies of a Euro-6 Hybrid Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Claudio Cubito

    2017-10-01

    Full Text Available Although Hybrid Electric Vehicles (HEVs represent one of the key technologies to reduce CO2 emissions, their effective potential in real world driving conditions strongly depends on the performance of their Energy Management System (EMS and on its capability to maximize the efficiency of the powertrain in real life as well as during Type Approval (TA tests. Attempting to close the gap between TA and real world CO2 emissions, the European Commission has decided to introduce from September 2017 the Worldwide Harmonized Light duty Test Procedure (WLTP, replacing the previous procedure based on the New European Driving Cycle (NEDC. The aim of this work is the analysis of the impact of different driving cycles and operating conditions on CO2 emissions and on energy management strategies of a Euro-6 HEV through the limited number of information available from the chassis dyno tests. The vehicle was tested considering different initial battery State of Charge (SOC, ranging from 40% to 65%, and engine coolant temperatures, from −7 °C to 70 °C. The change of test conditions from NEDC to WLTP was shown to lead to a significant reduction of the electric drive and to about a 30% increase of CO2 emissions. However, since the specific energy demand of WLTP is about 50% higher than that of NEDC, these results demonstrate that the EMS strategies of the tested vehicle can achieve, in test conditions closer to real life, even higher efficiency levels than those that are currently evaluated on the NEDC, and prove the effectiveness of HEV technology to reduce CO2 emissions.

  2. 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.

  3. CHOOSING THE POWER OF TRACTION ELECTRIC MOTORS FOR ELECTRIC VEHICLES

    OpenAIRE

    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.

  4. 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.

  5. Thermal management of cylindrical power battery module for extending the life of new energy electric vehicles

    International Nuclear Information System (INIS)

    Zhao, Jiateng; Rao, Zhonghao; Huo, Yutao; Liu, Xinjian; Li, Yimin

    2015-01-01

    Thermal management especially cooling plays an important role in power battery modules for electric vehicles. In order to comprehensively understand the heat transfer characteristics of air cooling system, the air cooling numerical simulation battery models for cylindrical lithium-ion power battery pack were established in this paper, and a detailed parametric investigation was undertaken to study effects of different ventilation types and velocities, gap spacing between neighbor batteries, temperatures of environment and entrance air, amount of single row cells and battery diameter on the thermal management performance of battery pack. The results showed that the local temperature difference increased firstly and then decreased with the increase of wind speed. Reversing the air flow direction between adjacent rows is not necessarily appropriate and the gap spacing should not be too small and too large. It is prone to thermal runaway when the ambient temperature is too high, and the most suitable value of S/D (the ratio of spacing distance between neighbor cells and cell diameter) is gradually reduced along with the increase of cell diameter. - Highlights: • Air cooling models were established for cylindrical lithium-ion power battery pack. • Local temperature difference increased firstly and then decreased with wind speed. • The gap spacing size of battery pack should not be too small and too large. • It is prone to thermal runaway when the ambient temperature is too high. • The ratio of S/D is gradually reduced with the increase of cell diameter

  6. Manitoba plug-in hybrid electric vehicle (PHEV) demonstration

    Energy Technology Data Exchange (ETDEWEB)

    Hoemsen, R. [Red River College, Winnipeg, MB (Canada); Parsons, R. [Government of Manitoba, Winnipeg, MB (Canada). Centre for Emerging Renewable Energy

    2010-07-01

    Manitoba has low electricity rates, the highest proportion of renewables, and a legislated commitment to reduce greenhouse gases. However, the province still relies heavily on oil as everyone else. The mix of energy opportunities in Manitoba were highlighted in this presentation, with particular reference to the commercialization of electric vehicles. Several photographs were presented of the Toyota plug-in hybrid vehicle and a plug-in hybrid electric demonstration vehicle. A demonstration project overview was offered that used technology from A123 Systems Inc. The conversion module and vehicle users were profiled. Topics that were presented related to the demonstration project included monitoring; gasoline fuel economy results; fuel economy variability; cold weather operation; cold weather issues; battery upgrade solutions; and highly qualified personnel. It was concluded that in terms of follow-up, there is a need to combine findings of current plug-in hybrid electric vehicle demonstration with those for the new Toyota production plug-in hybrid vehicles. Key next steps for the demonstration are to address cabin heating requirements; better characterizing winter performance; and implementation of IPLC units on all plug-in hybrid electric vehicles for electricity consumption. figs.

  7. Vehicle State Estimator based regenerative braking implementation on an electric vehicle to improve lateral vehicle stability

    NARCIS (Netherlands)

    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

  8. Test and evaluation of Chrysler T115 electric vehicle

    Energy Technology Data Exchange (ETDEWEB)

    1987-03-01

    Three Chrysler T115 mini vans were converted to electric drive in the spring of 1984 and tested in test track, chassis dynamometer, and urban road settings. Vehicle dc energy consumption and driving range were measured on the Society of Automotive Engineers J227a C schedule driving cycle, and at constant speed at the Blainville, Quebec test track. Other tests measured top speed, maximum acceleration, hill climbing, and braking performance of the vehicle. The vehicle's performance achieved the expected results. Net energy consumption, when compared to gasoline powered vehicles, was very favourable. The test program showed that the vehicle electrics and drive system are reliable. However, the acceleration and maximum speed were limited by the voltage output of the lead acid battery. The performance of the vehicle was not adversely affected by wide range as in ambient temperature, due to the thermal management battery system in the vehicle. The range of the vehicle was limited to 80 km due to the power output of the lead acid battery. When tested with the prototype sodium sulphur battery the range exceeded 200 km. With this range, market acceptance of this vehicle will be significantly enhanced. The overall vehicle efficiency of the T115 electric van was calculated to be 58%. This compared very favourably to the gasoline-powered vehicle which has an efficiency of approximately 17%. Results of this program confirmed the fact that until suitable advanced batteries are available, commercial applications of electric vehicles will be limited. 8 refs., 18 figs., 20 tabs.

  9. Powertrain system for a hybrid electric vehicle

    Science.gov (United States)

    Reed, Jr., Richard G.; Boberg, Evan S.; Lawrie, Robert E.; Castaing, Francois J.

    1999-08-31

    A hybrid electric powertrain system is provided including an electric motor/generator drivingly engaged with the drive shaft of a transmission. The electric is utilized for synchronizing the rotation of the drive shaft with the driven shaft during gear shift operations. In addition, a mild hybrid concept is provided which utilizes a smaller electric motor than typical hybrid powertrain systems. Because the electric motor is drivingly engaged with the drive shaft of the transmission, the electric motor/generator is driven at high speed even when the vehicle speed is low so that the electric motor/generator provides more efficient regeneration.

  10. Powertrain system for a hybrid electric vehicle

    Science.gov (United States)

    Reed, R.G. Jr.; Boberg, E.S.; Lawrie, R.E.; Castaing, F.J.

    1999-08-31

    A hybrid electric powertrain system is provided including an electric motor/generator drivingly engaged with the drive shaft of a transmission. The electric is utilized for synchronizing the rotation of the drive shaft with the driven shaft during gear shift operations. In addition, a mild hybrid concept is provided which utilizes a smaller electric motor than typical hybrid powertrain systems. Because the electric motor is drivingly engaged with the drive shaft of the transmission, the electric motor/generator is driven at high speed even when the vehicle speed is low so that the electric motor/generator provides more efficient regeneration. 34 figs.

  11. Substantial improvements of fuel economy. Potentials of electric and hybrid electric vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Joergensen, K [Technical Univ. of Denmark (Denmark); Nielsen, L H [Forskningscenter Risoe (Denmark)

    1996-12-01

    This paper evaluates the scope for improvement of the energy and environmental impacts of road traffic by means of electrical and hybrid electric propulsion. These technologies promise considerable improvements of the fuel economy of vehicles compared to the present vehicle types as well as beneficial effects for the energy and traffic system. The paper - based on work carried out in the project `Transportation fuel based on renewable energy`, funded by the National Energy Agency of Denmark and carried out by Department of Buildings and Energy, Technical University of Denmark and System Analysis Department, Risoe National Laboratory - assesses the potentials for reduction of the primary energy consumption and emissions, and points to the necessary technical development to reap these benefits. A case study concerning passenger cars is analysed by means of computer simulations, comparing electric and hybrid electric passenger car to an equivalent reference vehicle (a conventional gasoline passenger car). (au) 10 refs.

  12. Consumer Views: Fuel Economy, Plug-in Electric Vehicle Battery Range, and Willingness to Pay for Vehicle Technology

    Energy Technology Data Exchange (ETDEWEB)

    Singer, Mark [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2017-05-11

    This presentation includes data captured by the National Renewable Energy Laboratory (NREL) to support the U.S. Department of Energy's Vehicle Technologies Office (VTO) research efforts. The data capture consumer views on fuel economy, plug-in electric vehicle battery range, and willingness to pay for advanced vehicle technologies.

  13. 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.

  14. Gelled-electrolyte batteries for electric vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Tuphorn, H. (Accumulatorenfabrik Sonnenschein GmbH, Buedingen (Germany))

    1992-09-15

    Increasing problems of air pollution have pushed activities of electric vehicle projects world-wide and in spite of projects for developing new battery systems for high energy densities, today lead/acid batteries are almost the single system, ready for technical usage in this application. Valve-regulated lead/acid batteries with gelled electrolyte have the advantage that no maintenance is required and because the gel system does not cause problems with electrolyte stratification, no additional appliances for central filling or acid addition are required, which makes the system simple. Those batteries with high density active masses indicate high endurance results and field tests with 40 VW-CityStromers, equipped with 96 V/160 A h gel batteries with thermal management show good results during four years. In addition, gelled lead acid batteries possess superior high rate performance compared with conventional lead/acid batteries, which guarantees good acceleration results of the car and which makes the system recommendable for application in electric vehicles. (orig.).

  15. Gelled-electrolyte batteries for electric vehicles

    Science.gov (United States)

    Tuphorn, Hans

    Increasing problems of air pollution have pushed activities of electric vehicle projects worldwide and in spite of projects for developing new battery systems for high energy densities, today lead/acid batteries are almost the single system, ready for technical usage in this application. Valve-regulated lead/acid batteries with gelled electrolyte have the advantage that no maintenance is required and because the gel system does not cause problems with electrolyte stratification, no additional appliances for central filling or acid addition are required, which makes the system simple. Those batteries with high density active masses indicate high endurance results and field tests with 40 VW-CityStromers, equipped with 96 V/160 A h gel batteries with thermal management show good results during four years. In addition, gelled lead/acid batteries possess superior high rate performance compared with conventional lead/acid batteries, which guarantees good acceleration results of the car and which makes the system recommendable for application in electric vehicles.

  16. Electric Vehicles--A Historical Snapshot

    Science.gov (United States)

    Kraft, Thomas E.

    2012-01-01

    Most people don't realize that the history of electric vehicles (EVs) predates the Civil War. This article provides a historical snapshot of EVs to spark the interest of both teachers and students in this important transportation technology.

  17. Variable-Reluctance Motor For Electric Vehicles

    Science.gov (United States)

    Lang, Jeffrey H.

    1987-01-01

    Report describes research on variable-reluctance electric-motor drive for eventual use in electric-vehicle propulsion. Primary design and performance criteria were torque and power output per unit mass of motor, cost, and drive efficiency. For each criterion, optimized drive design developed, and designs unified to yield single electric-vehicle drive. Scaled-down motor performed as expected. Prototype of paraplegic lift operated by toggle switch and joystick. Lift plugs into household electrical outlet for recharging when not in use.

  18. Electric vehicles: Market survey. Marktuebersicht Elektrofahrzeuge

    Energy Technology Data Exchange (ETDEWEB)

    Baur, A.

    1993-01-01

    In the context of this article a tabular list of electric vehicles is shown, which are licensed and available on the German market. This contains one- to two-seated light-weight vehicles with ordinary serial bodyworks as well as transporters and busses. (BWI)

  19. Comparison performance of split plug-in hybrid electric vehicle and hybrid electric vehicle using ADVISOR

    Directory of Open Access Journals (Sweden)

    Mohd Rashid Muhammad Ikram

    2017-01-01

    Full Text Available Electric vehicle suffers from relatively short range and long charging times and consequently has not become an acceptable solution to the automotive consumer. The addition of an internal combustion engine to extend the range of the electric vehicle is one method of exploiting the high efficiency and lack of emissions of the electric vehicle while retaining the range and convenient refuelling times of a conventional gasoline powered vehicle. The term that describes this type of vehicle is a hybrid electric vehicle. Many configurations of hybrid electric vehicles have been designed and implemented, namely the series, parallel and power-split configurations. This paper discusses the comparison between Split Plug-in Hybrid Electric Vehicle(SPHEV and Hybrid Electric Vehicle(HEV. Modelling methods such as physics-based Resistive Companion Form technique and Bond Graph method are presented with powertrain component and system modelling examples. The modelling and simulation capability of existing tools such as ADvanced VehIcle SimulatOR (ADVISOR is demonstrated through application examples. Since power electronics is indispensable in hybrid vehicles, the issue of numerical oscillations in dynamic simulations involving power electronics is briefly addressed.

  20. Electric vehicle test report Cutler-Hammer Corvette

    Science.gov (United States)

    1981-01-01

    Vehicles were characterized for the state of the art assessment of electric vehicles. The vehicle evaluated was a Chevrolet Corvette converted to electric operation. The original internal combustion engine was replaced by an electric traction motor. Eighteen batteries supplied the electrical energy. A controller, an onboard battery charger, and several dashboard instruments completed the conversion. The emphasis was on the electrical portion of the drive train, although some analysis and discussion of the mechanical elements are included. Tests were conducted both on the road (actually a mile long runway) and in a chassis dynamometer equipped laboratory. The majority of the tests performed were according to SAE Procedure J227a and included maximum effort accelerations, constant speed range, and cyclic range. Some tests that are not a part of the SAE Procedure J227a are described and the analysis of the data from all tests is discussed.

  1. Batteries and fuel cells for emerging electric vehicle markets

    Science.gov (United States)

    Cano, Zachary P.; Banham, Dustin; Ye, Siyu; Hintennach, Andreas; Lu, Jun; Fowler, Michael; Chen, Zhongwei

    2018-04-01

    Today's electric vehicles are almost exclusively powered by lithium-ion batteries, but there is a long way to go before electric vehicles become dominant in the global automotive market. In addition to policy support, widespread deployment of electric vehicles requires high-performance and low-cost energy storage technologies, including not only batteries but also alternative electrochemical devices. Here, we provide a comprehensive evaluation of various batteries and hydrogen fuel cells that have the greatest potential to succeed in commercial applications. Three sectors that are not well served by current lithium-ion-powered electric vehicles, namely the long-range, low-cost and high-utilization transportation markets, are discussed. The technological properties that must be improved to fully enable these electric vehicle markets include specific energy, cost, safety and power grid compatibility. Six energy storage and conversion technologies that possess varying combinations of these improved characteristics are compared and separately evaluated for each market. The remainder of the Review briefly discusses the technological status of these clean energy technologies, emphasizing barriers that must be overcome.

  2. Charging electric cars from solar energy

    OpenAIRE

    Liang, Xusheng; Tanyi, Elvis; Zou, Xin

    2016-01-01

    Before vehicles were heavily relied on coal, fossil fuels and wind for power.  Now, they are rapidly being replaced by electric vehicles and or plug-in hybrid electric cars. But these electric cars are still faced with the problem of energy availability because they rely on energy from biomass, hydro power and wind turbines for power generation. The abundance of solar radiation and its use as solar energy as a power source in driving these rapidly increasing electric cars is not only an impor...

  3. Electric and Plug-In Hybrid Electric Fleet Vehicle Testing | Transportation

    Science.gov (United States)

    Research | NREL Electric and Plug-In Hybrid Electric Fleet Vehicle Evaluations Electric and Plug-In Hybrid Electric Fleet Vehicle Evaluations How Electric and Plug-In Hybrid Electric Vehicles plugging the vehicle into an electric power source. PHEVs are powered by an internal combustion engine that

  4. ELECTRIC AND MAGNETIC FIELDS ELECTRIC AND GASOLINE-POWERED VEHICLES.

    Science.gov (United States)

    Tell, Richard A; Kavet, Robert

    2016-12-01

    Measurements were conducted to investigate electric and magnetic fields (EMFs) from 120 Hz to 10 kHz and 1.2 to 100 kHz in 9 electric or hybrid vehicles and 4 gasoline vehicles, all while being driven. The range of fields in the electric vehicles enclosed the range observed in the gasoline vehicles. Mean magnetic fields ranged from nominally 0.6 to 3.5 µT for electric/hybrids depending on the measurement band compared with nominally 0.4 to 0.6 µT for gasoline vehicles. Mean values of electric fields ranged from nominally 2 to 3 V m -1 for electric/hybrid vehicles depending on the band, compared with 0.9 to 3 V m -1 for gasoline vehicles. In all cases, the fields were well within published exposure limits for the general population. The measurements were performed with Narda model EHP-50C/EHP-50D EMF analysers that revealed the presence of spurious signals in the EHP-50C unit, which were resolved with the EHP-50D model. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  5. Electric vehicle charge planning using Economic Model Predictive Control

    DEFF Research Database (Denmark)

    Halvgaard, Rasmus; Poulsen, Niels K.; Madsen, Henrik

    2012-01-01

    Economic Model Predictive Control (MPC) is very well suited for controlling smart energy systems since electricity price and demand forecasts are easily integrated in the controller. Electric vehicles (EVs) are expected to play a large role in the future Smart Grid. They are expected to provide...... grid services, both for peak reduction and for ancillary services, by absorbing short term variations in the electricity production. In this paper the Economic MPC minimizes the cost of electricity consumption for a single EV. Simulations show savings of 50–60% of the electricity costs compared...... to uncontrolled charging from load shifting based on driving pattern predictions. The future energy system in Denmark will most likely be based on renewable energy sources e.g. wind and solar power. These green energy sources introduce stochastic fluctuations in the electricity production. Therefore, energy...

  6. Potential Analysis of Electric Vehicle (EV) Grid Integration

    DEFF Research Database (Denmark)

    Wu, Qiuwei; Nielsen, Arne Hejde; Østergaard, Jacob

    2011-01-01

    Electric vehicles (EVs) have been considered as distributed energy resources (DER) to handle the fluctuation from renewable energy resources (RES), especially the wind power. The intelligent management of EV charging and discharging can achieve the goal of providing up and down regulating power...

  7. System Architecture Design for Electric Vehicle (EV) Systems

    DEFF Research Database (Denmark)

    Xu, Zhao; Wu, Qiuwei; Nielsen, Arne Hejde

    2010-01-01

    The electric vehicle (EV) system should fulfill the energy needs of EVs to meet the EV users’ driving requirements and enable the system service from EVs to support the power system operation with high penetration of renewable energy resources (RES) by providing necessary infrastructures. In orde...

  8. Hybrid electric vehicle power management system

    Science.gov (United States)

    Bissontz, Jay E.

    2015-08-25

    Level voltage levels/states of charge are maintained among a plurality of high voltage DC electrical storage devices/traction battery packs that are arrayed in series to support operation of a hybrid electric vehicle drive train. Each high voltage DC electrical storage device supports a high voltage power bus, to which at least one controllable load is connected, and at least a first lower voltage level electrical distribution system. The rate of power transfer from the high voltage DC electrical storage devices to the at least first lower voltage electrical distribution system is controlled by DC-DC converters.

  9. Mixed Solutions of Electrical Energy Storage

    Directory of Open Access Journals (Sweden)

    Chioncel Cristian Paul

    2012-01-01

    Full Text Available The paper presents electrical energy storage solutions using electricbatteries and supercapacitors powered from photovoltaic solarmodules, with possibilities of application in electric and hybrid vehicles.The future development of electric cars depends largely on electricalenergy storage solutions that should provide a higher range of roadand operating parameters comparable to those equipped with internalcombustion engines, that eliminate pollution.

  10. 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.

  11. Batteries for electric and hybrid-electric vehicles.

    Science.gov (United States)

    Cairns, Elton J; Albertus, Paul

    2010-01-01

    Batteries have powered vehicles for more than a century, but recent advances, especially in lithium-ion (Li-ion) batteries, are bringing a new generation of electric-powered vehicles to the market. Key barriers to progress include system cost and lifetime, and derive from the difficulty of making a high-energy, high-power, and reversible electrochemical system. Indeed, although humans produce many mechanical and electrical systems, the number of reversible electrochemical systems is very limited. System costs may be brought down by using cathode materials less expensive than those presently employed (e.g., sulfur or air), but reversibility will remain a key challenge. Continued improvements in the ability to synthesize and characterize materials at desired length scales, as well as to use computations to predict new structures and their properties, are facilitating the development of a better understanding and improved systems. Battery research is a fascinating area for development as well as a key enabler for future technologies, including advanced transportation systems with minimal environmental impact.

  12. Electric Motors for Vehicle Propulsion

    OpenAIRE

    Larsson, Martin

    2014-01-01

    This work is intended to contribute with knowledge to the area of electic motorsfor propulsion in the vehicle industry. This is done by first studying the differentelectric motors available, the motors suitable for vehicle propulsion are then dividedinto four different types to be studied separately. These four types are thedirect current, induction, permanent magnet and switched reluctance motors. Thedesign and construction are then studied to understand how the different typesdiffer from ea...

  13. Assessment of the use of vanadium redox flow batteries for energy storage and fast charging of electric vehicles in gas stations

    International Nuclear Information System (INIS)

    Cunha, Álvaro; Brito, F.P.; Martins, Jorge; Rodrigues, Nuno; Monteiro, Vitor; Afonso, João L.; Ferreira, Paula

    2016-01-01

    A network of conveniently located fast charging stations is one of the possibilities to facilitate the adoption of Electric Vehicles (EVs). This paper assesses the use of fast charging stations for EVs in conjunction with VRFBs (Vanadium Redox Flow Batteries). These batteries are charged during low electricity demand periods and then supply electricity for the fast charging of EVs during day, thus implementing a power peak shaving process. Flow batteries have unique characteristics which make them especially attractive when compared with conventional batteries, such as their ability to decouple rated power from rated capacity, as well as their greater design flexibility and nearly unlimited life. Moreover, their liquid nature allows their installation inside deactivated underground gas tanks located at gas stations, enabling a smooth transition of gas stations' business model towards the emerging electric mobility paradigm. A project of a VRFB system to fast charge EVs taking advantage of existing gas stations infrastructures is presented. An energy and cost analysis of this concept is performed, which shows that, for the conditions tested, the project is technologically and economically viable, although being highly sensitive to the investment costs and to the electricity market conditions. - Highlights: • Assessment of Vanadium Redox Flow Battery use for EV fast charge in gas stations. • This novel system proposal allows power peak shaving and use of deactivated gas tanks. • Philosophy allows seamless business transition towards the Electric Mobility paradigm. • Project is technologically and economically viable, although with long payback times. • Future Cost cuts due to technology maturation will consolidate project attractiveness.

  14. Plug-In Hybrid Electric Vehicle Basics | NREL

    Science.gov (United States)

    Plug-In Hybrid Electric Vehicle Basics Plug-In Hybrid Electric Vehicle Basics Imagine being able to one that's in a standard hybrid electric vehicle. The larger battery pack allows plug-in hybrids to between fill-ups) that's very similar to the range of a conventional vehicle. A plug-in hybrid vehicle's

  15. Electric Motor-Generator for a Hybrid Electric Vehicle

    OpenAIRE

    Odvářka, Erik; Mebarki, Abdeslam; Gerada, David; Brown, Neil; Ondrůšek, Čestmír

    2009-01-01

    Several topologies of electrical machines can be used to meet requirements for application in a hybrid electric vehicle. This paper describes process of an electric motor-generator selection, considering electromagnetic, thermal and basic control design. The requested electrical machine must develop 45 kW in continuous operation at 1300 rpm with field weakening capability up to 2500 rpm. Both radial and axial flux topologies are considered as potential candidates. A family of axial flux machi...

  16. OPTIMAL CONTROL FOR ELECTRIC VEHICLE STABILIZATION

    Directory of Open Access Journals (Sweden)

    MARIAN GAICEANU

    2016-01-01

    Full Text Available This main objective of the paper is to stabilize an electric vehicle in optimal manner to a step lane change maneuver. To define the mathematical model of the vehicle, the rigid body moving on a plane is taken into account. An optimal lane keeping controller delivers the adequate angles in order to stabilize the vehicle’s trajectory in an optimal way. Two degree of freedom linear bicycle model is adopted as vehicle model, consisting of lateral and yaw motion equations. The proposed control maintains the lateral stability by taking the feedback information from the vehicle transducers. In this way only the lateral vehicle’s dynamics are enough to considerate. Based on the obtained linear mathematical model the quadratic optimal control is designed in order to maintain the lateral stability of the electric vehicle. The numerical simulation results demonstrate the feasibility of the proposed solution.

  17. Medium Duty Electric Vehicle Demonstration Project

    Energy Technology Data Exchange (ETDEWEB)

    Mackie, Robin J. D. [Smith Electric Vehicles Corporation, Kansas City, MO (United States)

    2015-05-31

    The Smith Electric Vehicle Demonstration Project (SDP) was integral to the Smith business plan to establish a manufacturing base in the United States (US) and produce a portfolio of All Electric Vehicles (AEV’s) for the medium duty commercial truck market. Smith focused on the commercial depot based logistics market, as it represented the market that was most ready for the early adoption of AEV technology. The SDP enabled Smith to accelerate its introduction of vehicles and increase the size of its US supply chain to support early market adoption of AEV’s that were cost competitive, fully met the needs of a diverse set of end users and were compliant with Federal safety and emissions requirements. The SDP accelerated the development and production of various electric drive vehicle systems to substantially reduce petroleum consumption, reduce vehicular emissions of greenhouse gases (GHG), and increase US jobs.

  18. All Electric Passenger Vehicle Sales in India by 2030: Value proposition to Electric Utilities, Government, and Vehicle Owners

    Energy Technology Data Exchange (ETDEWEB)

    Abhyankar, Nikit [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Gopal, Anand R. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sheppard, Colin [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Park, Won Young [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Phadke, Amol A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2017-06-20

    In India, there is growing interest among policymakers, planners, and regulators for aggressive electrification of passenger vehicles. For example, Piyush Goyal, the Minister of State for India’s Ministry of Coal, Power, New and Renewable Energy, announced an aspirational goal of converting all vehicle sales in India to battery electric vehicles (BEVs) by 2030 (Economic Times, 2016). In 2012, India has already announced the National Mission on Electric Mobility (NMEM) sets a countrywide goal of deploying 6 to 7 million hybrid and electric vehicles (EVs) by 2020 (DHI, 2012). A major policy motivation for transport electrification is to reduce India’s oil import dependency. The objective of this paper is to assess the effect of full electrification of vehicle sales in India by 2030 on the key stakeholders such as BEV owners, electric utilities, and the government. Specifically, we attempt to answer the following questions: (a) How does the total vehicle ownership cost of BEVs compare with the conventional vehicles? (b) What is the additional load due BEV charging? (c) What is the impact on the power sector investments, costs, and utility revenue? (d) How can smart BEV charging help renewable energy grid integration? (e) What is the impact on the crude oil imports? (f) What is the impact on the greenhouse gas (GHG) emissions?

  19. Electric Vehicle Smart Charging using Dynamic Price Signal

    DEFF Research Database (Denmark)

    Martinenas, Sergejus; Pedersen, Anders Bro; Marinelli, Mattia

    2014-01-01

    , however, be resolved by using intelligent EV charging strategies, commonly referred to as ”Smart Charging”. The basic approach involves modifying the default vehicle charging scheme of ”immediate charging”, to a more optimal one that is derived from insight into the current state of the grid. This work......With yearly increases in Electric Vehicle (EV) sales, the future for electric mobility continues to brighten, and with more vehicles hitting the roads every day, the energy requirements on the grid will increase, potentially causing low-voltage distribution grid congestion. This problem can...... proposed in this paper, involves a real-time control strategy for charging the EV using a dynamic price tariff, with the objective of minimizing the charging cost. Two different charging scenario are investigated, and the results are verified by experiments on a real Electric Vehicle. Finally, the costs...

  20. Technology and implementation of electric vehicles and plug‐in hybrid electric vehicles

    DEFF Research Database (Denmark)

    Hansen, Kenneth; Mathiesen, Brian Vad; Connolly, David

    2011-01-01

    In this report state of the art electric vehicle and plug‐in hybrid electric vehicle technology is presented to clarify the current and near term development. The current status of diffusion for electric vehicles in Denmark, Sweden and internationally is presented as well as the expected......‐2013). Also the power capabilities may increase meaning that e.g. acceleration capabilities will improve as well as the top speed. This development occurs due to new battery technology that may experience substantial improvements in the coming years. When looking at plug‐in hybrid electric vehicles...... developments. Different business models and policies are also outlined along with a description of the on‐going research and demonstration projects. An analysis of the current and near term electric and plug‐in hybrid electric vehicles indicate that the cost for family cars will not change much, while...

  1. Quantifying displaced carbon dioxide emissions from electric vehicles in Ireland

    OpenAIRE

    Foley, Aoife M.; Leahy, Paul G.; McKeogh, Eamon J.; Ó Gallachóir, Brian P.

    2010-01-01

    Under EU Directive 2009/28/EC on Renewable Energy each Member State is mandated to ensure that 10% of transport energy (excluding aviation and marine transport) comes from renewable sources by 2020. The Irish Government intends to achieve this target with a number of policies including an increase in the use of biofuels in transport by 3% by 2010 and ensuring that 10% of all vehicles in the transport fleet are powered by electricity by 2020. Electric vehicles (EVs) do not emit exh...

  2. Fuel Cell Electric Vehicle Evaluations | Hydrogen and Fuel Cells | NREL

    Science.gov (United States)

    Electric Vehicle Evaluations Fuel Cell Electric Vehicle Evaluations NREL's technology validation team analyzes hydrogen fuel cell electric vehicles (FCEVs) operating in a real-world setting to include commercial FCEVs for the first time. Current fuel cell electric vehicle evaluations build on the

  3. National Plug-In Electric Vehicle Infrastructure Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Wood, Eric [National Renewable Energy Lab. (NREL), Golden, CO (United States); Rames, Clement [National Renewable Energy Lab. (NREL), Golden, CO (United States); Muratori, Matteo [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2017-09-15

    This report addresses the fundamental question of how much plug-in electric vehicle (PEV) charging infrastructure—also known as electric vehicle supply equipment (EVSE)—is needed in the United States to support both plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs).

  4. Electric machine for hybrid motor vehicle

    Science.gov (United States)

    Hsu, John Sheungchun

    2007-09-18

    A power system for a motor vehicle having an internal combustion engine and an electric machine is disclosed. The electric machine has a stator, a permanent magnet rotor, an uncluttered rotor spaced from the permanent magnet rotor, and at least one secondary core assembly. The power system also has a gearing arrangement for coupling the internal combustion engine to wheels on the vehicle thereby providing a means for the electric machine to both power assist and brake in relation to the output of the internal combustion engine.

  5. Solar energy thermally powered electrical generating system

    Science.gov (United States)

    Owens, William R. (Inventor)

    1989-01-01

    A thermally powered electrical generating system for use in a space vehicle is disclosed. The rate of storage in a thermal energy storage medium is controlled by varying the rate of generation and dissipation of electrical energy in a thermally powered electrical generating system which is powered from heat stored in the thermal energy storage medium without exceeding a maximum quantity of heat. A control system (10) varies the rate at which electrical energy is generated by the electrical generating system and the rate at which electrical energy is consumed by a variable parasitic electrical load to cause storage of an amount of thermal energy in the thermal energy storage system at the end of a period of insolation which is sufficient to satisfy the scheduled demand for electrical power to be generated during the next period of eclipse. The control system is based upon Kalman filter theory.

  6. Energy management and vehicle synthesis

    Science.gov (United States)

    Czysz, P.; Murthy, S. N. B.

    The major drivers in the development of launch vehicles for the twenty-first century are reduction in cost of vehicles and operations, continuous reusability, mission abort capability with vehicle recovery, and readiness. One approach to the design of such vehicles is to emphasize energy management and propulsion as being the principal means of improvements given the available industrial capability and the required freedom in selecting configuration concept geometries. A methodology has been developed for the rational synthesis of vehicles based on the setting up and utilization of available data and projections, and a reference vehicle. The application of the methodology is illustrated for a single stage to orbit (SSTO) with various limits for the use of airbreathing propulsion.

  7. Measurement of power loss during electric vehicle charging and discharging

    International Nuclear Information System (INIS)

    Apostolaki-Iosifidou, Elpiniki; Codani, Paul; Kempton, Willett

    2017-01-01

    When charging or discharging electric vehicles, power losses occur in the vehicle and the building systems supplying the vehicle. A new use case for electric vehicles, grid services, has recently begun commercial operation. Vehicles capable of such application, called Grid-Integrated Vehicles, may have use cases with charging and discharging summing up to much more energy transfer than the charging only use case, so measuring and reducing electrical losses is even more important. In this study, the authors experimentally measure and analyze the power losses of a Grid-Integrated Vehicle system, via detailed measurement of the building circuits, power feed components, and of sample electric vehicle components. Under the conditions studied, measured total one-way losses vary from 12% to 36%, so understanding loss factors is important to efficient design and use. Predominant losses occur in the power electronics used for AC-DC conversion. The electronics efficiency is lowest at low power transfer and low state-of-charge, and is lower during discharging than charging. Based on these findings, two engineering design approaches are proposed. First, optimal sizing of charging stations is analyzed. Second, a dispatch algorithm for grid services operating at highest efficiency is developed, showing 7.0% to 9.7% less losses than the simple equal dispatch algorithm. - Highlights: • Grid-to-battery-to-grid comprehensive power loss measurement and analysis. • No previous experimental measurements of Grid-Integrated Vehicle system power loss. • Electric vehicle loss analyzed as a factor of state of charge and charging rate. • Power loss in the building components less than 3%. • Largest losses found in Power Electronics (typical round-trip loss 20%).

  8. Nationwide impact and vehicle to grid application of electric vehicles mobility using an activity based model

    OpenAIRE

    Álvaro, Roberto; González, Jairo; Fraile Ardanuy, José Jesús; Knapen, Luk; Janssens, Davy

    2013-01-01

    This paper describes the impact of electric mobility on the transmission grid in Flanders region (Belgium), using a micro-simulation activity based models. These models are used to provide temporal and spatial estimation of energy and power demanded by electric vehicles (EVs) in different mobility zones. The increment in the load demand due to electric mobility is added to the background load demand in these mobility areas and the effects over the transmission substations are analyzed. From t...

  9. A Personalized Rolling Optimal Charging Schedule for Plug-In Hybrid Electric Vehicle Based on Statistical Energy Demand Analysis and Heuristic Algorithm

    DEFF Research Database (Denmark)

    Kong, Fanrong; Jiang, Jianhui; Ding, Zhigang

    2017-01-01

    To alleviate the emission of greenhouse gas and the dependence on fossil fuel, Plug-in Hybrid Electrical Vehicles (PHEVs) have gained an increasing popularity in current decades. Due to the fluctuating electricity prices in the power market, a charging schedule is very influential to driving cost...

  10. Light duty vehicle transportation and global climate policy: The importance of electric drive vehicles

    International Nuclear Information System (INIS)

    Bosetti, Valentina; Longden, Thomas

    2013-01-01

    With a focus on the interaction between long-term climate targets and personal transport we review the electrification of light duty vehicles (LDVs) within a model that utilizes a learning-by-researching structure. By modeling the demand of vehicles, the use of fuels and emissions implied, the model solves for the optimum RD and D investments that decrease the cost of hybrid, plug-in hybrid and electric vehicles. A range of technology and climate policy scenarios provide long term projections of vehicle use that highlight the potential synergies between innovation in the transportation sector and the energy sector. We find that even when the capital cost of electric drive vehicles (EDVs) remains higher than that of traditional combustion engine alternatives, EDVs are likely to play a key role in the decarbonisation implied by stringent climate policy. Limited innovation in batteries results in notable increases in policy costs consistent with a two degree climate policy target. - Highlights: • Significant increase in vehicles across regions in the medium to long term future. • Climate policy costs are sensitive to a lack of electric drive vehicles (EDVs). • Achieving 450ppm with no change in battery costs has a policy cost that is 2.86 percentage points higher than the base 450ppm scenario. • Climate policy hastens the introduction of electrified vehicles, however EDVs do not become the dominant vehicle of choice before the middle of the century

  11. A Personalized Rolling Optimal Charging Schedule for Plug-In Hybrid Electric Vehicle Based on Statistical Energy Demand Analysis and Heuristic Algorithm

    Directory of Open Access Journals (Sweden)

    Fanrong Kong

    2017-09-01

    Full Text Available To alleviate the emission of greenhouse gas and the dependence on fossil fuel, Plug-in Hybrid Electrical Vehicles (PHEVs have gained an increasing popularity in current decades. Due to the fluctuating electricity prices in the power market, a charging schedule is very influential to driving cost. Although the next-day electricity prices can be obtained in a day-ahead power market, a driving plan is not easily made in advance. Although PHEV owners can input a next-day plan into a charging system, e.g., aggregators, day-ahead, it is a very trivial task to do everyday. Moreover, the driving plan may not be very accurate. To address this problem, in this paper, we analyze energy demands according to a PHEV owner’s historical driving records and build a personalized statistic driving model. Based on the model and the electricity spot prices, a rolling optimization strategy is proposed to help make a charging decision in the current time slot. On one hand, by employing a heuristic algorithm, the schedule is made according to the situations in the following time slots. On the other hand, however, after the current time slot, the schedule will be remade according to the next tens of time slots. Hence, the schedule is made by a dynamic rolling optimization, but it only decides the charging decision in the current time slot. In this way, the fluctuation of electricity prices and driving routine are both involved in the scheduling. Moreover, it is not necessary for PHEV owners to input a day-ahead driving plan. By the optimization simulation, the results demonstrate that the proposed method is feasible to help owners save charging costs and also meet requirements for driving.

  12. Vehicle test report: Electric Vehicle Associates electric conversion of an AMC Pacer

    Science.gov (United States)

    Price, T. W.; Wirth, V. A., Jr.; Pompa, M. F.

    1981-01-01

    Tests were performed to characterize certain parameters of the EVA Pacer and to provide baseline data that can be used for the comparison of improved batteries that may be incorporated into the vehicle at a later time. The vehicle tests were concentrated on the electrical drive subsystem; i.e., the batteries, controller and motor. The tests included coastdowns to characterize the road load, and range evaluations for both cyclic and constant speed conditions. A qualitative evaluation of the vehicle's performance was made by comparing its constant speed range performance with other electric and hybrid vehicles. The Pacer performance was approximately equal to the majority of those vehicles assessed in 1977.

  13. Life cycle assessment for coordination development of nuclear power and electric vehicle

    International Nuclear Information System (INIS)

    Liu Hong; Wang Yingrong

    2010-01-01

    Energy, environment and climate change have become focus political topics. In this paper, the life cycle assessment for cooperation development of nuclear power and electric vehicle were analyzed from the view of energy efficiency and pollutant emissions. The assessment results show that the pathway of nuclear power coupled with electric vehicle is better than coal electric power coupled with electric vehicle and normal gasoline coupled with internal combustion engine powered vehicle in terms of the environmental and energy characteristics. To charge the electric vehicle, instead of water power station, can safeguard the stable operation of nuclear power station. The results could provide consulted for coordination development of nuclear power, electric vehicle and brain power electric net. (authors)

  14. Future energy loads for a large-scale adoption of electric vehicles in the city of Los Angeles: Impacts on greenhouse gas (GHG) emissions

    International Nuclear Information System (INIS)

    Kim, Jae D.; Rahimi, Mansour

    2014-01-01

    Using plug-in electric vehicles (PEVs) has become an important component of greenhouse gas (GHG) emissions reduction strategy in the transportation sector. Assessing the net effect of PEVs on GHG emissions, however, is dependent on factors such as type and scale of electricity generation sources, adoption rate, and charging behavior. This study creates a comprehensive model that estimates the energy load and GHG emissions impacts for the years 2020 and 2030 for the city of Los Angeles. For 2020, model simulations show that the PEV charging loads will be modest with negligible effects on the overall system load profile. Contrary to previous study results, the average marginal carbon intensity is higher if PEV charging occurs during off-peak hours. These results suggest that current economic incentives to encourage off-peak charging result in greater GHG emissions. Model simulations for 2030 show that PEV charging loads increase significantly resulting in potential generation shortages. There are also significant grid operation challenges as the region's energy grid is required to ramp up and down rapidly to meet PEV loads. For 2030, the average marginal carbon intensity for off-peak charging becomes lower than peak charging mainly due to the removal of coal from the power generation portfolio. - Highlights: • Future energy load from PEV charging in the city of Los Angeles is modeled. • Changes in the marginal carbon intensity of the region's electric grid are modeled. • In the short run, offpeak charging results in higher marginal carbon intensity. • There is a mismatch between emissions and economic incentives for charging

  15. IEA implementing agreement for hybrid and electric vehicle technologies and programmes, Annex VII hybrid vehicles : Topic 13, assessment of the energy consumption of hybrid trucks using ADVISOR

    NARCIS (Netherlands)

    Eelkema, J.; Winkel, R.G.; Geraets, R.; Verbakel, M.J.L.

    2002-01-01

    This topic report focuses on the possible benefits of the application of a hybrid powertrain in heavy-duty vehicles. The main objective is to assess whether a significant reduction in fuel consumption is feasible. An average Dutch distribution truck with a conventional driveline will be compared to

  16. Vehicle state estimator based regenerative braking implementation on an electric vehicle to improve lateral vehicle stability

    NARCIS (Netherlands)

    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

  17. Load Frequency Control by use of a Number of Both Heat Pump Water Heaters and Electric Vehicles in Power System with a Large Integration of Renewable Energy Sources

    Science.gov (United States)

    Masuta, Taisuke; Shimizu, Koichiro; Yokoyama, Akihiko

    In Japan, from the viewpoints of global warming countermeasures and energy security, it is expected to establish a smart grid as a power system into which a large amount of generation from renewable energy sources such as wind power generation and photovoltaic generation can be installed. Measures for the power system stability and reliability are necessary because a large integration of these renewable energy sources causes some problems in power systems, e.g. frequency fluctuation and distribution voltage rise, and Battery Energy Storage System (BESS) is one of effective solutions to these problems. Due to a high cost of the BESS, our research group has studied an application of controllable loads such as Heat Pump Water Heater (HPWH) and Electric Vehicle (EV) to the power system control for reduction of the required capacity of BESS. This paper proposes a new coordinated Load Frequency Control (LFC) method for the conventional power plants, the BESS, the HPWHs, and the EVs. The performance of the proposed LFC method is evaluated by the numerical simulations conducted on a power system model with a large integration of wind power generation and photovoltaic generation.

  18. Electric vehicles and large-scale integration of wind power

    DEFF Research Database (Denmark)

    Liu, Wen; Hu, Weihao; Lund, Henrik

    2013-01-01

    with this imbalance and to reduce its high dependence on oil production. For this reason, it is interesting to analyse the extent to which transport electrification can further the renewable energy integration. This paper quantifies this issue in Inner Mongolia, where the share of wind power in the electricity supply...... was 6.5% in 2009 and which has the plan to develop large-scale wind power. The results show that electric vehicles (EVs) have the ability to balance the electricity demand and supply and to further the wind power integration. In the best case, the energy system with EV can increase wind power...... integration by 8%. The application of EVs benefits from saving both energy system cost and fuel cost. However, the negative consequences of decreasing energy system efficiency and increasing the CO2 emission should be noted when applying the hydrogen fuel cell vehicle (HFCV). The results also indicate...

  19. Low-CO(2) electricity and hydrogen: a help or hindrance for electric and hydrogen vehicles?

    Science.gov (United States)

    Wallington, T J; Grahn, M; Anderson, J E; Mueller, S A; Williander, M I; Lindgren, K

    2010-04-01

    The title question was addressed using an energy model that accounts for projected global energy use in all sectors (transportation, heat, and power) of the global economy. Global CO(2) emissions were constrained to achieve stabilization at 400-550 ppm by 2100 at the lowest total system cost (equivalent to perfect CO(2) cap-and-trade regime). For future scenarios where vehicle technology costs were sufficiently competitive to advantage either hydrogen or electric vehicles, increased availability of low-cost, low-CO(2) electricity/hydrogen delayed (but did not prevent) the use of electric/hydrogen-powered vehicles in the model. This occurs when low-CO(2) electricity/hydrogen provides more cost-effective CO(2) mitigation opportunities in the heat and power energy sectors than in transportation. Connections between the sectors leading to this counterintuitive result need consideration in policy and technology planning.

  20. Solar electric propulsion for Mars transport vehicles

    Science.gov (United States)

    Hickman, J. M.; Curtis, H. B.; Alexander, S. W.; Gilland, J. H.; Hack, K. J.; Lawrence, C.; Swartz, C. K.

    1990-01-01

    Solar electric propulsion (SEP) is an alternative to chemical and nuclear powered propulsion systems for both piloted and unpiloted Mars transport vehicles. Photovoltaic solar cell and array technologies were evaluated as components of SEP power systems. Of the systems considered, the SEP power system composed of multijunction solar cells in an ENTECH domed fresnel concentrator array had the least array mass and area. Trip times to Mars optimized for minimum propellant mass were calculated. Additionally, a preliminary vehicle concept was designed.

  1. Smart Electric Vehicle Charging Infrastructure Overview

    Energy Technology Data Exchange (ETDEWEB)

    Chynoweth, Joshua; Chung, Ching-Yen; Qiu, Charlie; Chu, Peter; Gadh, Rajit

    2014-02-19

    WINSmartEV™ is a smart electric vehicle charging system that has been built and is currently in operation. It is a software and network based EV charging system designed and built around the ideas of intelligent charge scheduling, multiplexing (connecting multiple vehicles to each circuit) and flexibility. This paper gives an overview of this smart charging system with an eye toward its unique features and capabilities.

  2. Vehicle Testing and Integration Facility; NREL (National Renewable Energy Laboratory)

    Energy Technology Data Exchange (ETDEWEB)

    None

    2015-03-02

    Engineers at the National Renewable Energy Laboratory’s (NREL’s) Vehicle Testing and Integration Facility (VTIF) are developing strategies to address two separate but equally crucial areas of research: meeting the demands of electric vehicle (EV) grid integration and minimizing fuel consumption related to vehicle climate control. Dedicated to renewable and energy-efficient solutions, the VTIF showcases technologies and systems designed to increase the viability of sustainably powered vehicles. NREL researchers instrument every class of on-road vehicle, conduct hardware and software validation for EV components and accessories, and develop analysis tools and technology for the Department of Energy, other government agencies, and industry partners.

  3. A Review of Electric Vehicle Lifecycle Emissions and Policy Recommendations to Increase EV Penetration in India

    Directory of Open Access Journals (Sweden)

    Rachana Vidhi

    2018-02-01

    Full Text Available Electric vehicles reduce pollution only if a high percentage of the electricity mix comes from renewable sources and if the battery manufacturing takes place at a site far from the vehicle use region. Industries developed due to increased electric vehicle adoption may also cause additional air pollution. The Indian government has committed to solving New Delhi’s air pollution issues through an ambitious policy of switching 100% of the light duty consumer vehicles to electric vehicles by 2030. This policy is based on vehicle grid interaction and relies on shared mobility through the electric vehicle fleet. There are several human behavioral changes necessary to achieve 100% adoption of electric vehicles. This paper reviews different steps in the lifecycle of an electric vehicle (EV, their impact on environmental emissions, and recommends policies suitable for different socio-economic group that are relevant to the Indian market. To reduce air pollution through adoption of electric vehicles, the Indian government needs to adopt policies that increase sale of electric vehicles, increase percentage of renewable energy in the electricity mix, and prevent air pollution caused from battery manufacturing. The recommended policies can be customized for any market globally for reducing air pollution through increased adoption of electric vehicles.

  4. Analysis of Electric Vehicle DC High Current Conversion Technology

    Science.gov (United States)

    Yang, Jing; Bai, Jing-fen; Lin, Fan-tao; Lu, Da

    2017-05-01

    Based on the background of electric vehicles, it is elaborated the necessity about electric energy accurate metering of electric vehicle power batteries, and it is analyzed about the charging and discharging characteristics of power batteries. It is needed a DC large current converter to realize accurate calibration of power batteries electric energy metering. Several kinds of measuring methods are analyzed based on shunts and magnetic induction principle in detail. It is put forward power batteries charge and discharge calibration system principle, and it is simulated and analyzed ripple waves containing rate and harmonic waves containing rate of power batteries AC side and DC side. It is put forward suitable DC large current measurement methods of power batteries by comparing different measurement principles and it is looked forward the DC large current measurement techniques.

  5. Control system and method for a hybrid electric vehicle

    Science.gov (United States)

    Tamor, Michael Alan

    2001-03-06

    Several control methods are presented for application in a hybrid electric vehicle powertrain including in various embodiments an engine, a motor/generator, a transmission coupled at an input thereof to receive torque from the engine and the motor generator coupled to augment torque provided by the engine, an energy storage device coupled to receive energy from and provide energy to the motor/generator, an engine controller (EEC) coupled to control the engine, a transmission controller (TCM) coupled to control the transmission and a vehicle system controller (VSC) adapted to control the powertrain.

  6. A Bi-Level Optimization Approach to Charging Load Regulation of Electric Vehicle Fast Charging Stations Based on a Battery Energy Storage System

    Directory of Open Access Journals (Sweden)

    Yan Bao

    2018-01-01

    Full Text Available Fast charging stations enable the high-powered rapid recharging of electric vehicles. However, these stations also face challenges due to power fluctuations, high peak loads, and low load factors, affecting the reliable and economic operation of charging stations and distribution networks. This paper introduces a battery energy storage system (BESS for charging load control, which is a more user-friendly approach and is more robust to perturbations. With the goals of peak-shaving, total electricity cost reduction, and minimization of variation in the state-of-charge (SOC range, a BESS-based bi-level optimization strategy for the charging load regulation of fast charging stations is proposed in this paper. At the first level, a day-ahead optimization strategy generates the optimal planned load curve and the deviation band to be used as a reference for ensuring multiple control objectives through linear programming, and even for avoiding control failure caused by insufficient BESS energy. Based on this day-ahead optimal plan, at a second level, real-time rolling optimization converts the control process to a multistage decision-making problem. The predictive control-based real-time rolling optimization strategy in the proposed model was used to achieve the above control objectives and maintain battery life. Finally, through a horizontal comparison of two control approaches in each case study, and a longitudinal comparison of the control robustness against different degrees of load disturbances in three cases, the results indicated that the proposed control strategy was able to significantly improve the charging load characteristics, even with large disturbances. Meanwhile, the proposed approach ensures the least amount of variation in the range of battery SOC and reduces the total electricity cost, which will be of a considerable benefit to station operators.

  7. Electric Vehicle Scenarios for India: Implications for mitigation and development

    DEFF Research Database (Denmark)

    Shukla, P.R.; Dhar, Subash; Bhaskar, Kalyan

    2014-01-01

    to infrastructure and policies. While the literature on EVs has focused more on the role of electric cars, it could be electric two-wheelers which could make early headway, as is the case in China where nearly 120 million such vehicles had been sold by the end of 2012. Three scenarios (Business as Usual (BAU......The transport sector globally is overly dependent on liquid fossil fuels. Electric vehicles (EVs) are touted as a way of diversifying the fuel mix and helping to reduce dependence on fossil fuels. There could also be other co-benefits of EVs, such as improved energy security, decarbonising...... of the electricity sector, CO2 mitigation and reduction in local air pollution. The Indian government has recently launched a national electricity mobility mission to promote EVs. There is, however, much uncertainty in terms of the penetration of EVs in the transport sector, particularly those related...

  8. A PEMFC hybrid electric vehicle real time control system

    Science.gov (United States)

    Sun, Hongqiao

    In recent years, environmental friendly technologies and alternative energy solutions have drawn a lot of public attentions due to global energy crisis and pollution issues. Fuel cell (FC), a technology invented almost at the same time as the internal combustion (IC) engine, is now the focus of the automotive industry again. The fuel cell vehicle (FCV) has zero emission and its efficiency is significantly higher than the conventional IC engine power vehicles. Among a variety of FCV technologies, proton exchange membrane (PEM) FC vehicle appears to be far more attractive and mature. The prototype PEMFC vehicle has been developed and demonstrated to the public by nearly all the major automotive manufacturers in recent years. However, to the interest of the public research, publications and documentations on the PEMFC vehicle technology are rarely available due to its proprietary nature, which essentially makes it a secured technology. This dissertation demonstrates a real world application of a PEMFC hybrid electric vehicle. Through presenting the vehicle design concept, developing the real time control system and generating generic operation principles, this dissertation targets at establishing the public knowledge base on this new technology. A complete PEMFC hybrid electric vehicle design, including vehicle components layout, process flow diagram, real time control system architecture, subsystem structures and control algorithms, is presented in order to help understand the whole vehicle system. The design concept is validated through the vehicle demonstration. Generic operating principles are established along with the validation process, which helps populate this emerging technology. Thereafter, further improvements and future research directions are discussed.

  9. Alternative Fuels Data Center: Plug-In Hybrid Electric Vehicles

    Science.gov (United States)

    . Fueling and Driving Options Plug-in hybrid electric vehicle batteries can be charged by an outside sized hybrid electric vehicle. If the vehicle is driven a shorter distance than its all-electric range drives the wheels almost all of the time, but the vehicle can switch to work like a parallel hybrid at

  10. Virtual Power Plants of Electric Vehicles in Sustainable Smart Electricity Markets

    NARCIS (Netherlands)

    M.T. Kahlen (Micha)

    2017-01-01

    markdownabstractThe batteries of electric vehicles can be used as Virtual Power Plants to balance out frequency deviations in the electricity grid. Carsharing fleet owners have the options to charge an electric vehicle's battery, discharge an electric vehicle's battery, or keep an electric vehicle

  11. Crash simulation of UNS electric vehicle under frontal front impact

    Energy Technology Data Exchange (ETDEWEB)

    Susilo, D. D., E-mail: djoksus-2010@yahoo.com; Lukamana, N. I., E-mail: n.indra.lukmana@gmail.com; Budiana, E. P., E-mail: budiana.e@gmail.com; Tjahjana, D. D. D. P., E-mail: danar1405@gmail.com [Mechanical Engineering Department, Sebelas Maret University, Surakarta (Indonesia)

    2016-03-29

    Sebelas Maret University has been developing an Electric Vehicle namely SmarT-EV UNS. The main structure of the car are chasis and body. The chasis is made from steel and the body is made from fiberglass composite. To ensure the safety of the car, both static and dynamic tests were carried out to these structures, including their materials, like: tensile test, bending test, and impact test. Another test needed by this vehicle is crashworthiness test. To perform the test, it is needed complex equipments and it is quite expensive. Another way to obtain vehicle crashworthiness behaviour is by simulate it. The purpose of this study was to simulate the response of the Smart-EV UNS electric vehicle main structure when crashing rigid barrier from the front. The crash simulation was done in according to the NHTSA (National Highway Traffic Safety Administration) within the speed of the vehicle of 35 mph. The UNS Electric Vehicle was modelled using SolidWorks software, and the simulation process was done by finite element method using ANSYS software. The simulation result showed that the most internal impact energy was absorbed by chassis part. It absorbed 76.2% of impact energy, then the base absorbed 11.3 %, while the front body absorbed 2.5 %, and the rest was absorbed by fender, hood, and other parts.

  12. Component sizing optimization of plug-in hybrid electric vehicles

    International Nuclear Information System (INIS)

    Wu, Xiaolan; Cao, Binggang; Li, Xueyan; Xu, Jun; Ren, Xiaolong

    2011-01-01

    Plug-in hybrid electric vehicles (PHEVs) are considered as one of the most promising means to improve the near-term sustainability of the transportation and stationary energy sectors. This paper describes a methodology for the optimization of PHEVs component sizing using parallel chaos optimization algorithm (PCOA). In this approach, the objective function is defined so as to minimize the drivetrain cost. In addition, the driving performance requirements are considered as constraints. Finally, the optimization process is performed over three different all electric range (AER) and two types of batteries. The results from computer simulation show the effectiveness of the approach and the reduction in drivetrian cost while ensuring the vehicle performance.

  13. Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects

    DEFF Research Database (Denmark)

    Hu, Junjie; Morais, Hugo; Sousa, Tiago

    2016-01-01

    Electric vehicles can become integral parts of a smart grid, since they are capable of providing valuable services to power systems other than just consuming power. On the transmission system level, electric vehicles are regarded as an important means of balancing the intermittent renewable energy...... resources such as wind power. This is because electric vehicles can be used to absorb the energy during the period of high electricity penetration and feed the electricity back into the grid when the demand is high or in situations of insufficient electricity generation. However, on the distribution system...... and industries. This paper presents a review and classification of methods for smart charging (including power to vehicle and vehicle-to-grid) of electric vehicles for fleet operators. The study firstly presents service relationships between fleet operators and other four actors in smart grids; then, modeling...

  14. Review on Automotive Power Generation System on Plug-in Hybrid Electric Vehicles & Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Leong Yap Wee

    2016-01-01

    Full Text Available Regenerative braking is a function to recharge power bank on the Plug-in electric vehicles (PHEV and electric vehicles (EV. The weakness of this system is, it can only perform its function when the vehicle is slowing down or by stepping the brake foot pedal. In other words, the electricity recharging system is inconsistent, non-continuous and geography dependent. To overcome the weakness of the regenerative braking system, it is suggested that to apply another generator which is going to be parallel with the regenerative braking system so that continuous charging can be achieved. Since the ironless electricity generator has a less counter electromotive force (CEMF comparing to an ironcored electricity generator and no cogging torque. Applying the ironless electricity generator parallel to the regenerative braking system is seen one of the options which creates sustainable charging system compared to cored electricity generator.

  15. Design study of flat belt CVT for electric vehicles

    Science.gov (United States)

    Kumm, E. L.

    1980-01-01

    A continuously variable transmission (CVT) was studied, using a novel flat belt pulley arrangement which couples the high speed output shaft of an energy storage flywheel to the drive train of an electric vehicle. A specific CVT arrangement was recommended and its components were selected and sized, based on the design requirements of a 1700 KG vehicle. A design layout was prepared and engineering calculations made of component efficiencies and operating life. The transmission efficiency was calculated to be significantly over 90% with the expected vehicle operation. A design consistent with automotive practice for low future production costs was considered, together with maintainability. The technology advancements required to develop the flat belt CVT were identified and an estimate was made of how the size of the flat belt CVT scales to larger and smaller design output torques. The suitability of the flat belt CVT for alternate application to an electric vehicle powered by an electric motor without flywheel and to a hybrid electric vehicle powered by an electric motor with an internal combustion engine was studied.

  16. On electric vehicle battery charger modeling

    OpenAIRE

    Sainz Sapera, Luis; Mesas García, Juan José; Balcells Sendra, Josep

    2011-01-01

    The increase of electric vehicle (EV) battery chargers connected to electric networks could lead to future harmonic problems in power systems. These loads are nonlinear devices that inject harmonic currents and pollute network voltages. Thus, battery charger modeling must be studied in detail to determine their harmonic emissions and prevent future problems. This paper investigates EV battery charger behavior, analyzes its equivalent circuit and reports a model for each ...

  17. Electric Vehicle Modeling and Simulation.

    Science.gov (United States)

    1983-08-01

    7* * E L E C T R I C V E t I C L E S U L A T I 0 N VEHICLE CCNITANTS AgE: FRCNIAL AREA- i.eO SCUARE PETERS PAYLCAD PASS=270. KILOCRAMS FIXEC...34 1CC ,FdPPqFM qOA lFCRPAIt35x 71-C2AC CCEFFICIENT.,F5.Z,,15Xl3HFqCNTAL AQEA.,FS.Z,3.AH CSCUARE PETERS ,]13PAYLOAC PASS-j,.O 4CH KCILOCRAPS9/35XILHFIXED...SPO CALL TRP.EFFPFETAh,?AATT.VVhRRAR.8SPO.TSTP,1TSTP ,ETATETAI C 10 ICo . zec 9204 ppP.EQ.0.I ~,9ZOS ;2C 5 P pCT-p5PC6cRIquiijcR1Ij5 S3 E"’EXPE.0311.-1

  18. Battery electric vehicles - implications for the driver interface.

    Science.gov (United States)

    Neumann, Isabel; Krems, Josef F

    2016-03-01

    The current study examines the human-machine interface of a battery electric vehicle (BEV) from a user-perspective, focussing on the evaluation of BEV-specific displays, the relevance of provided information and challenges for drivers due to the concept of electricity in a road vehicle. A sample of 40 users drove a BEV for 6 months. Data were gathered at three points of data collection. Participants perceived the BEV-specific displays as only moderately reliable and helpful for estimating the displayed parameters. This was even less the case after driving the BEV for 3 months. A taxonomy of user requirements was compiled revealing the need for improved and additional information, especially regarding energy consumption and efficiency. Drivers had difficulty understanding electrical units and the energy consumption of the BEV. On the background of general principles for display design, results provide implications how to display relevant information and how to facilitate drivers' understanding of energy consumption in BEVs. Practitioner Summary: Battery electric vehicle (BEV) displays need to incorporate new information. A taxonomy of user requirements was compiled revealing the need for improved and additional information in the BEV interface. Furthermore, drivers had trouble understanding electrical units and energy consumption; therefore, appropriate assistance is required. Design principles which are specifically important in the BEV context are discussed.

  19. Climate control loads prediction of electric vehicles

    International Nuclear Information System (INIS)

    Zhang, Ziqi; Li, Wanyong; Zhang, Chengquan; Chen, Jiangping

    2017-01-01

    Highlights: • A model of vehicle climate control loads is proposed based on experiments. • Main climate control loads of the modeled vehicle are quantitatively analyzed. • Range reductions of the modeled vehicle under different conditions are simulated. - Abstract: A new model of electric vehicle climate control loads is provided in this paper. The mathematical formulations of the major climate control loads are developed, and the coefficients of the formulations are experimentally determined. Then, the detailed climate control loads are analyzed, and the New European Driving Cycle (NEDC) range reductions due to these loads are calculated under different conditions. It is found that in an electric vehicle, the total climate control loads vary with the vehicle speed, HVAC mode and blower level. The ventilation load is the largest climate control load, followed by the solar radiation load. These two add up to more than 80% of total climate control load in summer. The ventilation load accounts for 70.7–83.9% of total heating load under the winter condition. The climate control loads will cause a 17.2–37.1% reduction of NEDC range in summer, and a 17.1–54.1% reduction in winter, compared to the AC off condition. The heat pump system has an advantage in range extension. A heat pump system with an average heating COP of 1.7 will extend the range by 7.6–21.1% based on the simulation conditions.

  20. New propulsion components for electric vehicles

    Science.gov (United States)

    Secunde, R. R.

    1983-01-01

    Improved component technology is described. This includes electronically commutated permanent magnet motors of both drum and disk configurations, an unconventional brush commutated motor, ac induction motors, various controllers, transmissions and complete systems. One or more of these approaches to electric vehicle propulsion may eventually displace presently used controllers and brush commutated dc motors. Previously announced in STAR as N83-25982

  1. Explaining variance in national electric vehicle policies

    NARCIS (Netherlands)

    Wesseling, Joeri

    2016-01-01

    Abstract Transition studies’ understanding of differences in public policy is limited due to its tendency to focus on single-country cases. This paper assesses differences in plug-in electric vehicle (PEV) policies, comprising RD&D subsidies, infrastructure investments and sales incentives, across

  2. Can Electricity Powered Vehicles Serve Traveler Needs?

    Directory of Open Access Journals (Sweden)

    Jianhe Du

    2013-06-01

    Full Text Available Electric vehicles (EV, Hybrid Electric Vehicles (HEV or Plug-in Hybrid Electric Vehicles (PHEV are believed to be a promising substitute for current gas-propelled vehicles. Previous research studied the attributes of different types of EVs and confirmed their advantages. The feasibility of EVs has also been explored using simulation, retrospective survey data, or a limited size of field travel data. In this study, naturalistic driving data collected from more than 100 drivers during one year are used to explore naturalistic driver travel patterns. Typical travel distance and time and qualified dwell times (i.e., the typical required EV battery recharging time between travels as based on most literature findings are investigated in this study. The viability of electric cars is discussed from a pragmatic perspective. The results of this research show that 90 percent of single trips are less than 25 miles; approximately 70 percent of the average annual daily travel is less than 60 miles. On average there are 3.62 trips made between four-hour dwell times as aggregated to 60 minutes and 50 miles of travel. Therefore, majority of trips are within the travel range provided by most of the currently available EVs. A well-organized schedule of recharging will be capable of covering even more daily travels.

  3. Electric Vehicles. LC Science Tracer Bullet.

    Science.gov (United States)

    Buydos, John E., Comp.

    This document reviews the literature in the collections of the Library of Congress on electric vehicles. Not intended as a comprehensive bibliography, this guide is designed as the title implies, to put the reader "on target." This is of greatest utility to the beginning student of the topic. (AA)

  4. Bidirectional DC-DC converter fed drive for electric vehicle system ...

    African Journals Online (AJOL)

    Batteries are the primary energy-storage devices in ground vehicles. Now days battery fed electric drives are commonly being used for electric vehicles applications, due to various advantages, such as: nearly zero emission, guaranteed load leveling, good transient operation and energy recovery during braking operation.

  5. Electromechanical converters for electric vehicles

    Science.gov (United States)

    Ambros, T.; Burduniuc, M.; Deaconu, S. I.; Rujanschi, N.

    2018-01-01

    The paper presents the analysis of various constructive schemes of synchronous electromechanical converters with permanent magnets fixed on the rotor and asynchronous with the short-circuit rotor. Various electrical stator winding schemes have also been compared, demonstrating the efficiency of copper utilization in toroidal windings. The electromagnetic calculus of the axial machine has particularities compared to the cylindrical machine, in the paper is presented the method of correlating the geometry of the cylindrical and axial machines. In this case the method and recommendations used in the design of such machines may be used.

  6. Integration of regenerative shock absorber into vehicle electric system

    Science.gov (United States)

    Zhang, Chongxiao; Li, Peng; Xing, Shaoxu; Kim, Junyoung; Yu, Liangyao; Zuo, Lei

    2014-03-01

    Regenerative/Energy harvesting shock absorbers have a great potential to increase fuel efficiency and provide suspension damping simultaneously. In recent years there's intensive work on this topic, but most researches focus on electricity extraction from vibration and harvesting efficiency improvement. The integration of electricity generated from regenerative shock absorbers into vehicle electric system, which is very important to realize the fuel efficiency benefit, has not been investigated. This paper is to study and demonstrate the integration of regenerative shock absorber with vehicle alternator, battery and in-vehicle electrical load together. In the presented system, the shock absorber is excited by a shaker and it converts kinetic energy into electricity. The harvested electricity flows into a DC/DC converter which realizes two functions: controlling the shock absorber's damping and regulating the output voltage. The damping is tuned by controlling shock absorber's output current, which is also the input current of DC/DC converter. By adjusting the duty cycles of switches in the converter, its input impedance together with input current can be adjusted according to dynamic damping requirements. An automotive lead-acid battery is charged by the DC/DC converter's output. To simulate the working condition of combustion engine, an AC motor is used to drive a truck alternator, which also charges the battery. Power resistors are used as battery's electrical load to simulate in-vehicle electrical devices. Experimental results show that the proposed integration strategy can effectively utilize the harvested electricity and power consumption of the AC motor is decreased accordingly. This proves the combustion engine's load reduction and fuel efficiency improvement.

  7. Electric Vehicle Preparedness - Implementation Approach for Electric Vehicles at Naval Air Station Whidbey Island. Task 4

    Energy Technology Data Exchange (ETDEWEB)

    Schey, Stephen [Idaho National Lab. (INL), Idaho Falls, ID (United States); Francfort, Jim [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-06-01

    Several U.S. Department of Defense base studies have been conducted to identify potential U.S. Department of Defense transportation systems that are strong candidates for introduction or expansion of plug-in electric vehicles (PEVs). This study is focused on the Naval Air Station Whidbey Island (NASWI) located in Washington State. Task 1 consisted of a survey of the non-tactical fleet of vehicles at NASWI to begin the review of vehicle mission assignments and types of vehicles in service. In Task 2, daily operational characteristics of vehicles were identified to select vehicles for further monitoring and attachment of data loggers. Task 3 recorded vehicle movements in order to characterize the vehicles’ missions. The results of the data analysis and observations were provided. Individual observations of the selected vehicles provided the basis for recommendations related to PEV adoption, i.e., whether a battery electric vehicle (BEV) or plug-in hybrid electric vehicle (PHEV) (collectively PEVs) can fulfill the mission requirements. It also provided the basis for recommendations related to placement of PEV charging infrastructure. This report focuses on an implementation plan for the near-term adoption of PEVs into the NASWI fleet.

  8. Demand for electrical energy

    International Nuclear Information System (INIS)

    Bergougnoux, J.; Fouquet, D.

    1983-01-01

    The different utilizations of electric energy are reviewed in the residential and tertiary sectors, in the industry. The competitive position of electricity in regard to other fuels has been strengthned by the sudden rise in the price of oil in 1973-1974 and 1979-1980. The evolution of electricity prices depended on the steps taken to adjust the electricity generation system. The substitution of electricity applications for hydro-carbons is an essential point of energy policy. The adjustment at all times, at least cost and most reliability, of the supply of electricity to the demand for it is a major problem in the design and operation of electric systems. National demand for power at a given moment is extremely diversified. Electricity consumption presents daily and seasonal variations, and variations according to the different sectors. Forecasting power requirements is for any decision on operation or investment relating to an electrical system. Load management is desirable (prices according to the customers, optional tariffs for ''peak-day withdrawal''). To conclude, prospects for increased electricity consumption are discussed [fr

  9. Policies for Promotion of Electric Vehicles and Factors Influencing Consumers’ Purchasing Decisions of Low Emission Vehicles

    Directory of Open Access Journals (Sweden)

    Matjaz Knez

    2017-06-01

    Full Text Available Recently different studies of green transport have become interesting for policy makers,car manufacturers, customers and energy suppliers. Many stakeholders from the publicand private sectors are investing a lot of effort to identify consumer behaviour for futureimprovements in development of green products and effective strategies, which couldaccelerate the transition to sustainable future. This paper presents the effects of electricvehicle promotional policies and customer preferences about alternative fuel vehicles.This study has shown that the electric vehicle promotional policies adopted in Sloveniahave been unsuccessful, as the share of first-time registered electric vehicles in 2013 wasbelow 1%. For different segments of people whose opinions about low emission vehiclesdiffer, different measures must be adopted. When designing promotional policies focusmust be on the most relevant factors such as the total vehicle price and fuel economy.

  10. Optimal charging control of electric vehicles in smart grids

    CERN Document Server

    Tang, Wanrong

    2017-01-01

    This book introduces the optimal online charging control of electric vehicles (EVs) and battery energy storage systems (BESSs) in smart grids. The ultimate goal is to minimize the total energy cost as well as reduce the fluctuation of the total power flow caused by the integration of the EVs and renewable energy generators. Using both theoretic analysis and data-driven numerical results, the authors reveal the effectiveness and efficiency of the proposed control techniques. A major benefit of these control techniques is their practicality, since they do not rely on any non-causal knowledge of future information. Researchers, operators of power grids, and EV users will find this to be an exceptional resource. It is also suitable for advanced-level students of computer science interested in networks, electric vehicles, and energy systems.

  11. Onboard power line conditioning system for an electric or hybrid vehicle

    Science.gov (United States)

    Kajouke, Lateef A.; Perisic, Milun

    2016-06-14

    A power line quality conditioning system for a vehicle includes an onboard rechargeable direct current (DC) energy storage system and an onboard electrical system coupled to the energy storage system. The energy storage system provides DC energy to drive an electric traction motor of the vehicle. The electrical system operates in a charging mode such that alternating current (AC) energy from a power grid external to the vehicle is converted to DC energy to charge the DC energy storage system. The electrical system also operates in a vehicle-to-grid power conditioning mode such that DC energy from the DC energy storage system is converted to AC energy to condition an AC voltage of the power grid.

  12. EHV systems technology - A look at the principles and current status. [Electric and Hybrid Vehicle

    Science.gov (United States)

    Kurtz, D. W.; Levin, R. R.

    1983-01-01

    An examination of the basic principles and practices of systems engineering is undertaken in the context of their application to the component and subsystem technologies involved in electric and hybrid vehicle (EHV) development. The limitations of purely electric vehicles are contrasted with hybrid, heat engine-incorporating vehicle technology, which is inherently more versatile. A hybrid vehicle concept assessment methodology is presented which employs current technology and yet fully satisfies U.S. Department of Energy petroleum displacement goals.

  13. Analysis for Large Scale Integration of Electric Vehicles into Power Grids

    DEFF Research Database (Denmark)

    Hu, Weihao; Chen, Zhe; Wang, Xiaoru

    2011-01-01

    Electric Vehicles (EVs) provide a significant opportunity for reducing the consumption of fossil energies and the emission of carbon dioxide. With more and more electric vehicles integrated in the power systems, it becomes important to study the effects of EV integration on the power systems......, especially the low and middle voltage level networks. In the paper, the basic structure and characteristics of the electric vehicles are introduced. The possible impacts of large scale integration of electric vehicles on the power systems especially the advantage to the integration of the renewable energies...... are discussed. Finally, the research projects related to the large scale integration of electric vehicles into the power systems are introduced, it will provide reference for large scale integration of Electric Vehicles into power grids....

  14. Electrifying Australian transport: Hybrid life cycle analysis of a transition to electric light-duty vehicles and renewable electricity

    International Nuclear Information System (INIS)

    Wolfram, Paul; Wiedmann, Thomas

    2017-01-01

    Highlights: •This research assesses life-cycle carbon impacts of different powertrains. •We illustrate a transition to low-carbon vehicles in a hybrid IO-LCA model. •Different electricity and transport scenarios are integrated in the model. •With Australia’s current grid-mix, electric vehicles offer no mitigation potential. •Using renewable energy, electric vehicle carbon footprints can be cut by 66%. -- Abstract: Recent life cycle assessments confirmed the greenhouse gas emission reduction potential of renewable electricity and electric vehicle technologies. However, each technology is usually assessed separately and not within a consistent macro-economic, multi-sectoral framework. Here we present a multi-regional input-output based hybrid approach with integrated scenarios to facilitate the carbon footprint assessment of all direct and indirect effects of a transition to low-emission transportation and electricity generation technologies in Australia. The work takes into account on-road energy consumption values that are more realistic than official drive-cycle energy consumption figures used in previous work. Accounting for these factors as well as for Australia’s grid electricity, which heavily relies on coal power, electric vehicles are found to have a higher carbon footprint than conventional vehicles, whereas hybrid electric vehicles have the lowest. This means that – from a carbon footprint perspective – powertrain electrification is beneficial only to a certain degree at the current stage. This situation can be changed by increasing shares of renewable electricity in the grid. In our best-case scenario, where renewable energy accounts for 96% of the electricity mix in 2050, electric vehicle carbon footprints can be cut by 66% by 2050 relative to 2009. In the business-as-usual scenario (36% renewable electricity share by 2050), electric vehicles can reach a 56% reduction if fossil fuel power plants significantly increase their efficiencies

  15. Conversion of Diesel Vehicles to Electric Vehicles and Controlled by PID Controller

    OpenAIRE

    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 ...

  16. Model Predictive Control for Connected Hybrid Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Kaijiang Yu

    2015-01-01

    Full Text Available This paper presents a new model predictive control system for connected hybrid electric vehicles to improve fuel economy. The new features of this study are as follows. First, the battery charge and discharge profile and the driving velocity profile are simultaneously optimized. One is energy management for HEV for Pbatt; the other is for the energy consumption minimizing problem of acc control of two vehicles. Second, a system for connected hybrid electric vehicles has been developed considering varying drag coefficients and the road gradients. Third, the fuel model of a typical hybrid electric vehicle is developed using the maps of the engine efficiency characteristics. Fourth, simulations and analysis (under different parameters, i.e., road conditions, vehicle state of charge, etc. are conducted to verify the effectiveness of the method to achieve higher fuel efficiency. The model predictive control problem is solved using numerical computation method: continuation and generalized minimum residual method. Computer simulation results reveal improvements in fuel economy using the proposed control method.

  17. Electricity/electronics in electric-powered vehicles and electric management III; Elektrik/Elektronik in Hybrid- und Elektrofahrzeugen und elektrisches Energiemanagement III

    Energy Technology Data Exchange (ETDEWEB)

    Hoff, Carsten; Sirch, Ottmar

    2012-07-01

    The concept of e-Mobility currently is on everyone's lips. Worldwide, manufacturers and suppliers work with high pressure on new concepts and vehicles. Hybrid vehicles pave the way for pure electric-powered vehicles. Due to the problems of energy saving, electric-powered vehicles will take a long time for an extensively utilization. In the book underconsideration, experts from research and practice report on the latest technologies.

  18. Intelligent optimization to integrate a plug-in hybrid electric vehicle smart parking lot with renewable energy resources and enhance grid characteristics

    International Nuclear Information System (INIS)

    Fazelpour, Farivar; Vafaeipour, Majid; Rahbari, Omid; Rosen, Marc A.

    2014-01-01

    Highlights: • The proposed algorithms handled design steps of an efficient parking lot of PHEVs. • Optimizations are performed with 1 h intervals to find optimum charging rates. • Multi-objective optimization is performed to find the optimum size and site of DG. • Optimal sizing of a PV–wind–diesel HRES is attained. • Charging rates are optimized intelligently during peak and off-peak times. - Abstract: Widespread application of plug-in hybrid electric vehicles (PHEVs) as an important part of smart grids requires drivers and power grid constraints to be satisfied simultaneously. We address these two challenges with the presence of renewable energy and charging rate optimization in the current paper. First optimal sizing and siting for installation of a distributed generation (DG) system is performed through the grid considering power loss minimization and voltage enhancement. Due to its benefits, the obtained optimum site is considered as the optimum location for constructing a movie theater complex equipped with a PHEV parking lot. To satisfy the obtained size of DG, an on-grid hybrid renewable energy system (HRES) is chosen. In the next set of optimizations, optimal sizing of the HRES is performed to minimize the energy cost and to find the best number of decision variables, which are the number of the system’s components. Eventually, considering demand uncertainties due to the unpredictability of the arrival and departure times of the vehicles, time-dependent charging rate optimizations of the PHEVs are performed in 1 h intervals for the 24-h of a day. All optimization problems are performed using genetic algorithms (GAs). The outcome of the proposed optimization sets can be considered as design steps of an efficient grid-friendly parking lot of PHEVs. The results indicate a reduction in real power losses and improvement in the voltage profile through the distribution line. They also show the competence of the utilized energy delivery method in

  19. A multi-port power electronics interface for battery powered electric vehicles: Application of inductively coupled wireless power transfer and hybrid energy storage system

    Science.gov (United States)

    McDonough, Matthew Kelly

    Climate change, pollution, and geopolitical conflicts arising from the extreme wealth concentrations caused by fossil fuel deposits are just a few of the side-effects of the way that we fuel our society. A new method to power our civilization is becoming more and more necessary. Research for new, more sustainable fuel sources is already underway due to research in wind, solar, geothermal, and hydro power. However this focus is mainly on stationary applications. A large portion of fossil fuel usage comes from transportation. Unfortunately, the transition to cleaner transportation fuels is being stunted by the inability to store adequate amounts of energy in electro-chemical batteries. The idea of charging while driving has been proposed by many researchers, however several challenges still exist. In this work some of these challenges are addressed. Specifically, the ability to route power from multiple sources/loads is investigated. Special attention is paid to adjusting the time constant of particular converters, namely the battery and ultra-capacitor converters to reduce the high frequency and high magnitude current components applied to the battery terminals. This is done by developing a closed loop model of the entire multi-port converter, including the state of charge of the ultra-capacitors. The development of closed loop models and two experimental testbeds for use as stationary vehicle charging platforms with their unique set of sources/loads are presented along-side an on-board charger to demonstrate the similarities and differences between stationary charging and mobile charging. Experimental results from each are given showing that it is not only possible, but feasible to utilize Inductively Coupled Wireless Power Transfer (ICWPT) to charge a battery powered electric vehicle while driving and still protect the life-span of the batteries under the new, harsher conditions generated by the ICWPT system.

  20. The hybrid electric vehicle revolution, off road

    Energy Technology Data Exchange (ETDEWEB)

    Wood, B.E. [ePower Technologies (United States)

    2004-07-01

    In this presentation the author presents concepts and details of hybrid vehicles in general, including their benefits, then describes off-road hybrid vehicles. Hybrid vehicles have been experimented with for over a century. Demonstrator vehicles include a diesel-electric tractor, an electric lawn tractor, a hybrid snow thrower, and a hybrid wheel loader. A duty cycle for the loader is shown with battery-assisted acceleration, and regenerative braking. Both of these keep the size of the engine small, the loads on it less variable, thus improving fuel economy. A hybrid excavator and its duty cycle is shown. A fuel cell lift truck that is currently in design is illustrated. The author then describes the possibilities of the hydrogen economy where sourcing and infrastructure are yet to be demonstrated on a commercial scale. The author predicts that off-road hydrogen fuel cell vehicles will be commercially viable five years before on-road applications. The author predicts hydrogen sourced from biogas, photovoltaics, and wind power. tabs, figs.