Relevant bibliographies by topics / Electric vehicle battery

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Electric vehicle battery'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Electric vehicle battery"

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Rewatkar, Harshal. "Energy Conservation By Using Electric Transportation Vehicle." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 1623–25. http://dx.doi.org/10.22214/ijraset.2022.38255.

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Abstract: This paper presents the design and implementation of a complete electric transportation vehicle by conservation by energy resources. Electric vehicles are widely used for pollution free transportation but it has been observed that distance travelled by battery operated electric vehicle is very less as pared with the other fuel powered engine and poor regenerative energy recapturing from the vehicle. There are so many types of losses in power converter which increase consumption of battery energy. For increment of distance travelled by electric vehicles and increment of recapturing of regenerative energy we have to improve performance of all component used in electric vehicle like electric motor, power converter and energy storage system like battery. That’s why in this project used alternator and voltage booster. This project presents comparative study of all components used in an electric vehicle. This project also concluded that which drive or converter is suitable for electric vehicle is being proposed. Best coordination of all components can lead to optimize power consumption in electric vehicle. Energy dissipated in power train during the operation of conversion from electrical energy to mechanical energy and vice-versa should be minimize. Keywords: Electric vehicle; motor; Energy storage system; Battery; Alternator
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Dhote, Miss Priya, Mr Shashank Dongare, Mr Anand Gajbhiye, Mr Nikhil Ramteke, Prof Pranali Langde, and Mrs Neetu Gyanchandani. "A Review Paper on Lithium-Ion Battery Pack Design For EVs." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 1486–90. http://dx.doi.org/10.22214/ijraset.2022.40901.

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Abstract: Unique Electric vehicles are most well known nowadays. EV's are the best vehicles for transportation. Electrical vehicles industry going to blast in India. It will happen on the grounds that India is a home all things considered dirtied urban areas on the planet additionally EV energy wises multiple times more energy productivity when contrasted with ICE vehicle and it has multiple times less parts. The Battery System, which is the core of EVs, comprises of cells, Battery Modules and Battery Packs that are acknowledged by joining battery modules. With the quick improvement of Lithium-Ion Battery Technologies in the electric vehicles (Ev's) industry, The lifetime of the battery cell increments significantly. For changing over the ICE vehicles into Electrical vehicle its fundamental to make the battery pack for that vehicle. For building or fostering the Battery pack we need to think about such countless things. Keywords: Li-Ion Battery cells, Battery Pack Structural design, Thermal Design, Cooling System, Battery Management System (BMS), Safety Majors.
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Ananda, Wisnu, and Mehammed Nomeri. "DESIGN OF BATTERY MANAGEMENT SYSTEM FOR ELECTRIC VEHICLE BATTERY-BASED HYBRID METAL-ORGANIC (SOL-GEL) LITHIUM MANGANATE (LiMn2O4)." Jurnal Teknologi Bahan dan Barang Teknik 6, no. 1 (June 30, 2016): 19. http://dx.doi.org/10.37209/jtbbt.v6i1.65.

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Battery-powered Electric Vehicles (BEVs) such as electric cars, use the battery as the main power source to drive the motor, in addition to lighting, horn, and other functions. Currently, Balai Besar Bahan dan Barang Teknik (B4T) has been conducting research in Lithium-ion (Li-ion) battery prototype for an electric vehicle. However, the management system in accordance with the electrical characteristics of the battery prototype is still not available. Thus, to integrate the battery prototype with electrical components of the electric vehicle, it is necessary to design Battery Management System (BMS). Two important battery parameters observed are State of Charge (SOC) and State of Health (SOH). The method used for SOC was Coulomb Counting. SOH was determined using a combination between Support Vector Machine (SVM) and Relevance Vector Machine (RVM). Based on the experiments by using BMS, the battery performance could be more controlled and produces a linear curve of SOC and SOH.Keywords: Battery, electric vehicle, Battery Management System (BMS), Lithium-ion (Li-ion).
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Oswald, Mario, Georg Schrank, and Joachim Ecker. "Vehicle Dynamics of Battery Electric Vehicles." ATZ worldwide 123, no. 3 (February 26, 2021): 50–55. http://dx.doi.org/10.1007/s38311-020-0625-y.

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Břoušek, Josef, Martin Bukvic, and Pavel Jandura. "Experimental Electric Vehicle eŠus Gen2." Journal of Middle European Construction and Design of Cars 14, no. 2 (November 1, 2016): 7–12. http://dx.doi.org/10.1515/mecdc-2016-0007.

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Abstract In the introduction to the article, the conception and development of an experimental electric vehicle is described. It is followed by a description of the used mechanical and electrical components in combination with the design solutions of sub-units, such as the vehicle powertrain and traction battery. The choice of components and design solutions is evaluated here with regard to the current trends in the development of battery electric vehicles.
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Cheng, Dan Ming, Jing Zhou, Jin Li, Cheng Gang Du, and Hua Zhang. "Analysis in Power Battery Gradient Utilization of Electric Vehicle." Advanced Materials Research 347-353 (October 2011): 555–59. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.555.

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Currently the high cost and battery cycle life of lithium are the main limitations of commercial developing of electric vehicles, the chemical battery energy storage technology is also facing battery performance and cost issues. the current development of electric vehicle battery technology was analyzed, the magnificance and the value of electric vehicle battery gradient utilization are proposed, the application in different applications field of gradient utilization of electric vehicle battery was analyzed, in the end, this paper concluded that the battery gradient utilization technology will enable the electric vehicles and energy storage to generate new value chain.
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Shroff, Surbhi R. "Review on Electric Vehicle." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 1667–70. http://dx.doi.org/10.22214/ijraset.2022.40095.

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Abstract: Due to the problems caused by the gasoline engine on the environment and people, the automotive industry has turned to the electrical powered vehicle. This report explains how an electric vehicle works and compares the electric vehicle to the internal combustion engine and hybrid vehicle. The report provides some of the advantages and disadvantages of the electric vehicle. At a time when the fuel prices are rocketing sky high , the daily running cost of a vehicle and its cost of ownership are hitting the roof and there is a dire need to protect our environment , alternative means of transport are few . Electric vehicle are slow expensive with limited range the solution comes in the form of electrical vehicle . Keywords: Plug in hybrid electric vehicles, Energy management System Electric Vehicles, Energy transmission, Battery technology.
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Khobragade, Priya A. "Multiport Converter based EV Charging Station with PV and Battery." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 14, 2021): 2518–21. http://dx.doi.org/10.22214/ijraset.2021.34679.

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: As a ecofriendly electrical vehicle, is vehicles that are used electric motor or traction motor. Are receiving widespread attention around the world due to their improved performance and zero carbon emission . The electric vehicle depend on photovoltaic and battery energy storage system . Electric vehicles include not limited road and railways. It consist of many electric appliances for use in domestic and industrial purposes that is electric car ,electric bike ,electric truck ,electric trolley bus , electric air craft ,electric space craft.The main Moto of this paper is a modelling of proposed system smart charging for electrical vehicle insuring minimum stress on power grid . The large scale development of electrical vehicle we need electric charging station for example fast charging station and super-fast charging station . During a peak demand load , large load on charging station due to the voltage sag , line fault and stress on power grid . At this all problem avoid by multiport converter based EV charging station with PV and BES by using analysis of MATLAB simulation. Result and conclusion of this paper to reduce losses improving efficiency of solar energy , no pollution (reduce) fast charging as possible as without any disturbance.
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Shangguan, Zizhuo, and Dongfeng Qi. "Charging Station Planning of Electric Vehicle in Battery Swapping Scene." Journal of Physics: Conference Series 2354, no. 1 (October 1, 2022): 012004. http://dx.doi.org/10.1088/1742-6596/2354/1/012004.

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Abstract In response to the national green development concept, the electric vehicles quantity continues to surge. However, the cost of electric vehicle charging facilities is hindering the development of electric vehicles. Considering charging facility cost and fuel consumption cost of logistics vehicles, we propose the charging planning for electric vehicle batteries. First, according to the user’s mileage, we simulate the maximum demand for electric vehicle batteries in each time. Then, based on the electric vehicle battery charging planning, we establish an optimization model for the number of battery charging equipment and the fuel consumption cost of logistics vehicles. Finally, through specific examples we show the optimal number of delivery is 4 from the battery charging station to the battery swapping station. The battery charging equipment are 368 units and the fuel consumption cost of the logistics vehicle is 8040 RMB per day. In addition, the number of logistics vehicle departures is reduced by 3 compared to the same amount of delivery, which significantly improves the stability and efficiency of the battery swapping scene.
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Patale, Jayshri Prakash, A. B. Jagadale, A. O. Mulani, and Anjali Pise. "A Systematic survey on Estimation of Electrical Vehicle." Journal of Electronics,Computer Networking and Applied Mathematics, no. 31 (December 5, 2022): 1–6. http://dx.doi.org/10.55529/jecnam.31.1.6.

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Due to the gasoline crisis, electric vehicles are growing in popularity. The usage of electric and battery-powered automobiles is being encouraged worldwide. This campaign also heavily relies on the usage of renewable energy sources to provide electricity. In order to build electric vehicles, engineers use static and dynamic equations. Around the world, competitions are being held to design high-performance electric vehicles. The automotive industry and businesses are transitioning a portion of their fleet from gasoline-powered vehicles to batteryoperated electric vehicles. Most vehicles today offer good performance at slightly increased costs to the consumer. The battery technology is improving andhence enhancing the range of vehicles. The movement of use of electrical vehicle will strengthen as more people are getting involved in the design and use of electric vehicle.
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Dissertations / Theses on the topic "Electric vehicle battery"

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Hsieh, Ming-Kuang (Leo). "A Battery Equalisation System for Electric Vehicle." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1172.

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Abstract In 1999, the Electrical and Computer Engineering Department at the University of Canterbury started building their third electric vehicle (EV3) based on a TOYOTA MR2 with the goal of building a higher performance vehicle to match present combustion engined vehicles. The car is powered by 26 12volt sealed lead-acid batteries connected in series to achieve a nominal 312V DC source. A battery voltage equaliser is a device that draws energy from a higher charged battery, then discharges into a lower charged battery. The need for a voltage equaliser is principally due to the differences in cell chemistry, temperature gradients along the battery string and the ages of the batteries. During the charging or discharging process, some batteries reach their nominal voltage or reach deep discharge states before the others. Then if the charger keeps charging the batteries or the load keeps drawing energy from these batteries, it results in damage to the batteries. Therefore maintaining the charge level on each battery becomes important. In addition, it also improves the battery life and vehicle travelling range. This thesis details the analysis of three different types of battery equaliser, which are based on a 24W buck-boost converter, 192W buck-boost converter and 192W flyback converter. In this design, all converters are designed to work under current mode control with average of 2A. To make each converter install without significant effect on the performance and the cost, each converter is also built with the goals of being small, lightweight, cost effective, flexible for mounting, maintenance free and highly efficient. At the end, the prototype battery equalisation converters were designed, constructed and tested, and the efficiencies from each converter are measured around 90 ~ 92%. The experimental results show two banks of series connected batteries can be successfully equalised by the designed equaliser. This thesis covers the design, simulation and the construction procedures of this battery equaliser system, and also details on some considerations and possible future improvement that were found during the experimental test.
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Cunningham, John Shamus. "An analysis of battery electric vehicle production projections." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54532.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.
"June 2009." Cataloged from PDF version of thesis.
Includes bibliographical references (p. 28-30).
In mid 2008 and early 2009 Deutsche Bank and The Boston Consulting Group each released separate reports detailing projected Battery Electric Vehicle production through 2020. These reports both outlined scenarios in which BEVs gained significant market share (1-2%) by the end of the decade. To analyze the magnitude of the annual growth rates needed to obtain these sales figures, similar case studies were identified and evaluated. The transition from gasoline to diesel power in France between 1970 and 2005 (11% average annual growth) as well as the introduction of Hybrid Gasoline-Electric vehicles to the US (46% average annual growth) were selected as relevant points of comparison. Through a review of all major automotive manufacturers, as well as BEV-focused startups, press releases best case and worst case estimates for total BEV production in 2010 and 2011 were obtained. Using these figures it was determined that in a best case, near term production scenario annual production rates would need to average 35 to 40% annual growth over the next 10 years, and in a worst case near term production scenario would need to average in excess of 45% annual growth to reach production estimates.
by John Shamus Cunningham.
S.B.
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Klass, Verena. "Battery Health Estimation in Electric Vehicles." Doctoral thesis, KTH, Tillämpad elektrokemi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173544.

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For the broad commercial success of electric vehicles (EVs), it is essential to deeply understand how batteries behave in this challenging application. This thesis has therefore been focused on studying automotive lithium-ion batteries in respect of their performance under EV operation. Particularly, the  need  for  simple  methods  estimating  the  state-of-health  (SOH)  of batteries during EV operation has been addressed in order to ensure safe, reliable, and cost-effective EV operation. Within  the  scope  of  this  thesis,  a  method  has  been  developed  that  can estimate the SOH indicators capacity and internal resistance. The method is solely based on signals that are available on-board during ordinary EV operation  such  as  the  measured  current,  voltage,  temperature,  and  the battery  management  system’s  state-of-charge  estimate.  The  approach  is based on data-driven battery models (support vector machines (SVM) or system  identification)  and  virtual  tests  in  correspondence  to  standard performance  tests  as  established  in  laboratory  testing  for  capacity  and resistance determination. The proposed method has been demonstrated for battery data collected in field tests and has also been verified in laboratory. After a first proof-of-concept of the method idea with battery pack data from a plug-in hybrid electric vehicle (PHEV) field test, the method was improved with the help of a laboratory study where battery electric vehicle (BEV) operation of a battery  cell  was  emulated  under  controlled  conditions  providing  a thorough validation possibility. Precise partial capacity and instantaneous resistance  estimations  could  be  derived  and  an  accurate  diffusion resistance estimation was achieved by including a current history variable in the SVM-based model. The dynamic system identification battery model gave precise total resistance estimates as well. The SOH estimation method was also applied to a data set from emulated hybrid electric vehicle (HEV) operation of a battery cell on board a heavy-duty vehicle, where on-board standard  test  validation  revealed  accurate  dynamic  voltage  estimation performance of the applied model even during high-current situations. In order to exhibit the method’s intended implementation, up-to-date SOH indicators have been estimated from driving data during a one-year time period.

QC 20150914

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Sinclair, Paul Grant. "An adaptive battery monitoring system for an electric vehicle." Thesis, University of Canterbury. Department of Electrical Engineering, 1998. http://hdl.handle.net/10092/2353.

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In electric vehicles it is important to know the state of charge of the batteries in order to prevent vehicle strandings and to ensure that the full range of the vehicle is exploited. It is also useful to know state of health information about the batteries in the battery bank, This information can be used to predict when the batteries need replacing and can also identify batteries that are not performing optimally within the battery bank. This thesis describes a battery monitoring system that is able to calculate the state of charge and state of health of niultiple batteries in a battery bank, It has been designed specifically to monitor lead-acid batteries in an electric car environment using noninvasive measurement techniques. The monitor incorporates an adaptive monitoring method, which is based on coulometric measurements when the batteries are under load and predicted open circuit voltage measurements under no-load conditions. The battery monitor is micro controller based and uses remote battery monitoring modules to make the necessary battery measurements. Information is presented to the user of the car in the form of a state of charge meter on the instrument panel, similar to a fuel gauge in a conventionally power vehicle, and an alphanumeric LCn panel on the car's dashboard. . Aspects of both the monitor hardware and software are considered in this thesis. Results obtained from bench tests of the monitor are presented which are followed by an evaluation of the monitor's performance. Consideration is also given to possible future improvements to the monitoring system.
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Grau, Iñaki. "Management of electric vehicle battery charging in distribution networks." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/48664/.

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This thesis investigated the management of electric vehicle battery charging in distribution networks. Different electric vehicle fleet sizes and network locations were considered. The energy storage capacity and backup generator’s energy requirements were calculated to achieve daily energy balance in a low voltage distribution network with micro-generation. The effect of the electric vehicle battery demand as controllable loads on the backup generator energy requirements was assessed. It was found that the use of electric vehicles as controllable loads reduced the energy requirements from the backup generator or made it unnecessary to achieve energy balance. Two control algorithms for the battery charging management of electric vehicles clustered in battery charging facilities were designed and developed. One algorithm calculates electric vehicle battery charging profiles for vehicles located in a parking space. Different charging policies were investigated, showing the ability of the control algorithm to define the electricity profile of the parking space according to network constraints and the policies’ objectives. The second algorithm calculates the number of batteries and chargers that are required to satisfy the battery demand of electric vehicle battery swapping stations. The impact of the number of chargers and batteries on the swapping station’s electricity load profile were evaluated. An agent-based control system was designed and developed for the battery charging management of electric vehicles dispersed in distribution networks. The electric vehicle battery charging schedules are calculated according to electricity prices and distribution network technical constraints. The real-time operation of the agent-based control system was demonstrated in the laboratory of TECNALIA’s research centre in Bilbao, Spain. A series of experiments showed the ability of the control system to operate and manage the electric vehicle battery charging when the distribution network is operated within its loading capacity and when the network technical limits are violated.
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Jiao, Na. "Business models for second-life electric vehicle battery systems." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/278615.

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Innovative Business Models (BMs) are essential in commercialising new technologies that are initially seen as inferior. Battery second use (B2U) brings used batteries from an electric vehicle (EV) into a secondary storage application and holds the potential to improve the sustainability of EVs while generating value for stakeholders across the automotive and energy sectors, as well as for the environment and society (Gohla-Neudecker et al. 2015; Neubauer et al. 2015). However, important knowledge gaps exist as the potential value of second-life batteries and how to better extract that value are still poorly understood by both practitioners and researchers. To fill the knowledge gap, this study explores the BMs of repurposing a second life for the retired EV batteries through rich empirical case studies. The main outcomes of the research are firstly, a deeper understanding of the sustainable value of second-life batteries as is currently being achieved by industry, which also provides a comprehensive view of the potential value of B2U. Secondly, the critical B2U challenges are identified from a multi-stakeholder’s perspective across the value chain that present a fresh overview of the key factors that might impair the potential value of B2U. Thirdly, an empirically-generated typology of existing B2U business models is proposed that shows how B2U stakeholders are interacting in different ways to create and capture value from B2U. Fourthly, three critical BM design elements, namely, lifecycle thinking, system-level design and the shift to services are proposed as helpful aspects for B2U stakeholders to consider to better design their B2U business models. Fifthly, Business Model of a Technology (BMoT) is proposed as a new perspective to understand the value potential of second-life batteries and how to maximise the total value creation from B2U at the system level. The research has filled a literature gap, has met an industrial need, and has made contributions to knowledge on sustainability and BMs in the specific context of B2U. Practically, the findings have the potential to inspire practitioners toward better understanding the potential value of second-life batteries and improve their BMs to better extract value from B2U.
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Chu, Kim-chiu. "Development of intelligent battery charger and controller for electric vehicle /." [Hong Kong : University of Hong Kong], 1989. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12599074.

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Sousa, Ana Carolina Monteiro de. "Battery electric and hybrid electric vehicles : an economic and environmental evaluation." Master's thesis, Instituto Superior de Economia e Gestão, 2015. http://hdl.handle.net/10400.5/10533.

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Mestrado em Economia
A mobilidade elétrica pode ser um fator importante na promoção de um crescimento económico mais sustentável, mais inteligente e mais inclusivo. O objetivo deste estudo é analisar a viabilidade económica e ambiental dos Veículos Elétricos e Híbridos, em Portugal. Para isso, são estimados os custos totais suportados durante a vida útil do veículo em três perspetivas: consumidor, sociedade e emissão de Dióxido de Carbono; para três tecnologias distintas: elétrica, híbrida e convencional. É também realizada uma análise de sensibilidade. Os resultados obtidos indicam que nem o veículo elétrico nem o veículo híbrido são competitivos no mercado automóvel português, por enquanto.
This paper aims to estimate the costs and the performance of an electrically powered and a hybrid electric vehicle (HEV) in relation to a conventional internal combustion engine car in the consumer, society and the exhaust Well-to-Wheel (WtW) carbon dioxide (CO2) emissions, using portuguese data. This goal will be achieved by building a total ownership cost model. A sensibility analysis is also conducted to assess the impact of alterations on the values of the key parameters. The results of this study suggest that neither the hybrid electric vehicle neither the battery electric vehicle (BEV) are yet competitive with the internal combustion engine vehicle (ICEV) in the Portuguese market.
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Bjerkan, Kristin Ystmark, Tom E. Nørbech, and Marianne Elvsaas Nordtømme. "Incentives for promoting Battery Electric Vehicle (BEV) adoption in Norway." Elsevier, 2016. https://publish.fid-move.qucosa.de/id/qucosa%3A73224.

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Norway has become a global forerunner in the field of electromobility and the BEV market share is far higher than in any other country. One likely reason for this is strong incentives for promoting purchase and ownership of BEVs. The purpose of this study is to describe the role of incentives for promoting BEVs, and to determine what incentives are critical for deciding to buy a BEV and what groups of buyers respond to different types of incentives. The questions are answered with data from a survey among nearly 3400 BEV owners in Norway. Exemptions from purchase tax and VAT are critical incentives for more than 80% of the respondents. This is very much in line with previous research, which suggests that up-front price reduction is the most powerful incentive in promoting EV adoption. To a substantial number of BEV owners, however, exemption from road tolling or bus lane access is the only decisive factor. Analyses show that there are clear delineations between incentive groups, both in terms of age, gender, and education. Income is a less prominent predictor, which probably results from the competitive price of BEVs in the Norwegian market. Perhaps most interesting is the assumed relation between incentives and character of transport systems the respondents engage in.
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Carroll, James. "Feasibility and sustainability of an electric vehicle battery exchange system." Thesis, Carroll, James (2013) Feasibility and sustainability of an electric vehicle battery exchange system. Masters by Coursework thesis, Murdoch University, 2013. https://researchrepository.murdoch.edu.au/id/eprint/21453/.

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There is increasing concern over the depletion of fossil fuels and the role transport plays in greenhouse gas emissions. Hybrid vehicles while generally more efficient, still use fossil fuels. A technology with promise is the battery electric vehicle, recharged from the mains or by locally generated renewable energy. Obstacles to growth in battery electric vehicle sales include higher cost than equivalent internal combustion engine vehicles and shorter driving range. Range is seen as a major difficulty by potential buyers, even though 95% of travel in a typical day is within the reach of current generation electric vehicles. Among the solutions to increasing the range of electric vehicles is the swappable battery. When the vehicle’s battery nears exhaustion, the driver pulls into a roadside battery exchange station. A robotised system removes the battery from underneath the vehicle and replaces it with a charged unit. The process takes a few minutes, approximately the same as a fuel refill. This paper examines the processes involved in this technology and estimates the feasibility of a network of such stations. The conclusion is that the infrastructure is very expensive to set up, to the point where it can take a decade or more to show a return on investment even under the most optimistic scenarios. Using mains power from the Australian average generation mix, principally derived from coal, means that the use of the system shows little or no reduction in carbon emissions compared with similar fossil fuelled vehicles. The extra cost to the business of using renewable energy for recharging the batteries places financial viability even further out of reach. With advances in battery efficiency and fast charging methods, a network of fast chargers shows greater promise at lower cost.
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Books on the topic "Electric vehicle battery"

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Electric vehicle battery systems. Boston: Newnes, 2002.

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Dinçer, ibrahim, Halil S. Hamut, and Nader Javani. Thermal Management of Electric Vehicle Battery Systems. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118900239.

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Bayram, İslam Şafak. Plug-in electric vehicle grid integration. Norwood, MA: Artech House, 2017.

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United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Energy. Electric vehicles and advanced battery R&D: Hearing before the Subcommittee on Energy of the Committee on Science, Space, and Technology, U.S. House of Representatives, One Hundred Third Congress, second session, June 30, 1994. Washington: U.S. G.P.O., 1995.

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United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Energy. Electric vehicles and advanced battery R&D: Hearing before the Subcommittee on Energy of the Committee on Science, Space, and Technology, U.S. House of Representatives, One Hundred Third Congress, second session, June 30, 1994. Washington: U.S. G.P.O., 1995.

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Zuev, Sergey, Ruslan Maleev, and Aleksandr Chernov. Energy efficiency of electrical equipment systems of autonomous objects. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1740252.

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When considering the main trends in the development of modern autonomous objects (aircraft, combat vehicles, motor vehicles, floating vehicles, agricultural machines, etc.) in recent decades, two key areas can be identified. The first direction is associated with the improvement of traditional designs of autonomous objects (AO) with an internal combustion engine (ICE) or a gas turbine engine (GTD). The second direction is connected with the creation of new types of joint-stock companies, namely electric joint-stock companies( EAO), joint-stock companies with combined power plants (AOKEU). The energy efficiency is largely determined by the power of the generator set and the battery, which is given to the electrical network in various driving modes. Most of the existing methods for calculating power supply systems use the average values of disturbing factors (generator speed, current of electric energy consumers, voltage in the on-board network) when choosing the characteristics of the generator set and the battery. At the same time, it is obvious that when operating a motor vehicle, these parameters change depending on the driving mode. Modern methods of selecting the main parameters and characteristics of the power supply system do not provide for modeling its interaction with the power unit start-up system of a motor vehicle in operation due to the lack of a systematic approach. The choice of a generator set and a battery, as well as the concept of the synthesis of the power supply system is a problem studied in the monograph. For all those interested in electrical engineering and electronics.
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Office, General Accounting. Electric vehicles: Efforts to complete advanced battery development will require more time and funding : report to the Ranking Minority Member, Committee on Governmental Affairs, United States Senate. Washington, D.C: U.S. General Accounting Office, 1995.

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Xiong, Rui. Battery Management Algorithm for Electric Vehicles. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0248-4.

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Yang, Shichun, Xinhua Liu, Shen Li, and Cheng Zhang. Advanced Battery Management System for Electric Vehicles. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-3490-2.

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Xiong, Rui, and Weixiang Shen, eds. Advanced Battery Management Technologies for Electric Vehicles. Chichester, UK: John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119481652.

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Book chapters on the topic "Electric vehicle battery"

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Yang, Shichun, Xinhua Liu, Shen Li, and Cheng Zhang. "Electric Vehicle." In Advanced Battery Management System for Electric Vehicles, 3–13. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3490-2_1.

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Young, Kwo, Caisheng Wang, Le Yi Wang, and Kai Strunz. "Electric Vehicle Battery Technologies." In Electric Vehicle Integration into Modern Power Networks, 15–56. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-0134-6_2.

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Seddig, Katrin, Patrick Jochem, and Wolf Fichtner. "Electric Vehicle Market Diffusion in Main Non–European Markets." In The Future European Energy System, 75–88. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60914-6_5.

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AbstractElectric vehicles (i.e., battery and plug-in hybrid electric vehicles) are seen as one promising technology toward a sustainable transport system as they have the potential to reduce CO2 emissions. The forecast of their market penetration depends on various factors including the cost development of key components such as the electric battery. This chapter focuses on the impact of experience curves on the battery costs, and consequently on the electric vehicles’ market penetration, which is simulated by coupling two system dynamics transport models: ASTRA, representing Europe, and TE3, representing key non-European car markets. The results of the TE3 model show that the consideration of global endogenous learning curves has an impact on the battery costs and therefore, the development of the electric vehicle stock (“feedback loop”).
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Yang, Shichun, Xinhua Liu, Shen Li, and Cheng Zhang. "Vehicle Applications." In Advanced Battery Management System for Electric Vehicles, 271–79. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3490-2_14.

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Zhang, Yuanjian, and Zhuoran Hou. "Battery Management System of Electric Vehicle." In Recent Advancements in Connected Autonomous Vehicle Technologies, 23–44. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5751-2_2.

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Shahul, Nooriya, and Siddharth Shelly. "Bidirectional Battery Charger for Electric Vehicle." In Lecture Notes in Networks and Systems, 185–98. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4355-9_15.

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Zhai, Li. "Electromagnetic Compatibility of Battery Management System." In Electromagnetic Compatibility of Electric Vehicle, 363–98. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6165-2_7.

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Modak, Renuka, Vikramsinh Doke, Sayali Kawrkar, and Nikhil B. Sardar. "Wireless Battery Monitoring System for Electric Vehicle." In Cybernetics, Cognition and Machine Learning Applications, 239–47. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6691-6_27.

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Martins, Carlos F. V., Tiago J. C. Sousa, and Delfim Pedrosa. "Electric Vehicle Battery Charger with Vehicle-to-Vehicle (V2V) Operation Mode." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 173–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97027-7_11.

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Zhang, Yuqing. "Electric Vehicle Battery Charging Scheduling Under the Battery Swapping Mode." In Lecture Notes in Operations Research, 269–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90275-9_22.

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Conference papers on the topic "Electric vehicle battery"

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Wyczalek, Floyd. "Future battery electric vehicle technology." In Intersociety Energy Conversion Engineering Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-3921.

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May, G. "Battery options for hybrid electric vehicles." In IET Hybrid Vehicle Conference 2006. IEE, 2006. http://dx.doi.org/10.1049/cp:20060614.

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Lee, Ungki, Sunghyun Jeon, and Ikjin Lee. "Shared Autonomous Vehicle System Design for Battery Electric Vehicle (BEV) and Fuel Cell Electric Vehicle (FCEV)." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67734.

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Abstract Shared autonomous vehicles (SAVs) encompassing autonomous driving technology and car-sharing service are expected to become an essential part of transportation system in the near future. Although many studies related to SAV system design and optimization have been conducted, most of them are focused on shared autonomous battery electric vehicle (SABEV) systems, which employ battery electric vehicles (BEVs) as SAVs. As fuel cell electric vehicles (FCEVs) emerge as alternative fuel vehicles along with BEVs, the need for research on shared autonomous fuel cell electric vehicle (SAFCEV) systems employing FCEVs as SAVs is increasing. Therefore, this study newly presents a design framework of SAFCEV system by developing an SAFCEV design model based on a proton-exchange membrane fuel cell (PEMFC) model. The test bed for SAV system design is Seoul, and optimization is conducted for SABEV and SAFCEV systems to minimize the total cost while satisfying the customer wait time constraint, and the optimization results of both systems are compared. From the results, it is verified that the SAFCEV system is feasible and the total cost of the SAFCEV system is even lower compared to the SABEV system. In addition, several observations on various operating environments of SABEV and SAFCEV systems are obtained from parametric studies.
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Liu, Yiqun, Y. Gene Liao, and Ming-Chia Lai. "Ambient Temperature Effects on Battery Electric Vehicle." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24302.

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Abstract The driving range of an electric vehicle depends on the vehicle weight, road load conditions, battery capacity, and battery performance. The battery rated capacity and its characteristics could be heavily affected by the ambient temperature. This paper investigates the effects of ambient temperature on the electric vehicle driving range, equivalent fuel economy, and performance. A production-type battery electric vehicle is modeled and simulated in the AVL-Cruise platform using semi-empirical data. The modeled vehicle battery pack consists of 20Ah Lithium-Nickel-Manganese-Cobalt-Oxide (LiNiMnCoO2) cells. The battery cell characteristics are experimentally measured to build the battery pack model. The simulated driving range and equivalent fuel economy are correlated with the published information as vehicle model validation. Series of simulations on driving cycles (UDDS, HWFET, US06, and WLTP) with across a broad range of ambient temperatures are conducted to investigate the quantified effects of ambient temperature on driving range, equivalent fuel economy, and vehicle performance. Simulation results show that driving range and fuel economy are much reduced to 70% at low ambient temperature. Driving range and fuel economy are almost not affected by high ambient temperature, such as 50 C, since this model does not include accessory load of thermal management. The vehicle performance is almost not affected by the ambient temperature.
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Chen, Powen, Yong Xia, Qing Zhou, Yunlong Qu, and Xinqi Wei. "Damage Assessment Method of Battery Pack of Electric Vehicle in Undercarriage Collision." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-69776.

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Abstract Undercarriage impact occurs when vehicle’s ground clearance is incompatible with obstacle on the road. This kind of accidents are particularly dangerous to electric vehicles as battery pack is usually integrated into the vehicle floor. In case of an undercarriage collision, the battery pack could be ploughed through by the obstacle on the road, which could cause damage to battery cells in the pack and occurrence of internal short circuit and thermal runaway. To tackle this new problem, damage assessment method is needed to guide design of protective structure of battery pack. The present paper documents an analysis of battery damages in undercarriage collisions and development of a test method for evaluating undercarriage collisions. We first used a simplified finite element model of battery pack and conducted computer simulations to understand the influences of key parameters. The battery pack model included blade battery cells that had no module-level assemblies. Based on the learning from the finite element analysis, we then developed a generic test method for evaluating undercarriage collisions. The test method is robust in terms of repeatability and the device is adaptable for evaluating a wide range of electric vehicle undercarriage collision. We hope that this test method can become a unified and standard method for evaluating battery pack damage in undercarriage collisions and guide design of protection structures for enhancing safety performance of battery packs.
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Barnett, J. Hampton, and Harshad Tataria. "Electric Vehicle and Battery Testing at the Electric Vehicle Test Facility." In Passenger Car Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/911917.

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R, Ananthraj C., and Arnab Ghosh. "Battery Management System in Electric Vehicle." In 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE). IEEE, 2021. http://dx.doi.org/10.1109/icnte51185.2021.9487762.

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Tan, Kang Miao, Vigna K. Ramachandaramurthy, and Jia Ying Yong. "Bidirectional battery charger for electric vehicle." In 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA). IEEE, 2014. http://dx.doi.org/10.1109/isgt-asia.2014.6873826.

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Lu, Honghao. "Electric Vehicle Battery Swapping Station Design." In PRIS 2020: 2020 International Conference on Pattern Recognition and Intelligent Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3415048.3416105.

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Ramoni, M., and Hong-Chao Zhang. "Remanufacturing processes of electric vehicle battery." In 2012 IEEE International Symposium on Sustainable Systems and Technology (ISSST 2012). IEEE, 2012. http://dx.doi.org/10.1109/issst.2012.6228014.

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Reports on the topic "Electric vehicle battery"

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Pesaran, Ahmad, Lauren Roman, and John Kincaide. Electric Vehicle Lithium-Ion Battery Life Cycle Management. Office of Scientific and Technical Information (OSTI), February 2023. http://dx.doi.org/10.2172/1924236.

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Gray, Tyler, Matthew Shirk, and Jeffrey Wishart. 2011 Hyundai Sonata 4932 - Hybrid Electric Vehicle Battery Test Results. Office of Scientific and Technical Information (OSTI), July 2013. http://dx.doi.org/10.2172/1097169.

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Shirk, Matthew, Tyler Gray, and Jeffrey Wishart. 2011 Hyundai Sonata 3539 - Hybrid Electric Vehicle Battery Test Results. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1164856.

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Tyler Gray, Chester Motloch, and James Francfort. 2007 Toyota Camry-7129 Hybrid Electric Vehicle Battery Test Results. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/974751.

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Tyler Gray, Chester Motloch, and James Francfort. 2006 Toyota Highlander-5681 Hybrid Electric Vehicle Battery Test Results. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/974752.

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Tyler Grey, Chester Motloch, and James Francfort. 2007 Nissan Altima-7982 Hybrid Electric Vehicle Battery Test Results. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/974758.

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Tyler Gray, Chester Motloch, and James Francfort. 2007 Nissan Altima-2351 Hybrid Electric Vehicle Battery Test Results. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/974759.

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Tyler Gray, Chester Motloch, and James Francfort. 2006 Toyota Highlander-6395 Hyrid Electric Vehicle Battery Test Results. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/974792.

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Tyler Gray, Chester Motloch, and James Francfort. 2006 Lexus RX400h-2575 Hybrid Electric Vehicle Battery Test Results. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/974793.

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Tyler Gray, Chester Motloch, and James Francfort. 2006 Lexus RX400h-4807 Hybrid Electric Vehicle Battery Test Results. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/974794.

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