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Journal articles on the topic 'BEV- Battery electric vehicle'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Tseng, Chia Wei, Yao Tsung Yang, and Li Der Chou. "A Travel Distance Power Consumption Model for Battery Electric Vehicles." Advanced Materials Research 1008-1009 (August 2014): 372–75. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.372.

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Electric Vehicles (EVs) are becoming increasingly popular in recent years. Battery Electric Vehicles (BEVs) are a type of EVs use stored energy more efficiently than typical internal combustion engine powered counterparts. A key challenge of BEV is the limited battery energy. In order to relieve electric vehicle range anxiety for BEV owners and achieve an optimal battery sizing for BEV, a travel distance power consumption model has been created to model the travel behavior of BEV in the fleet. The model provides an efficient way of estimating the power requirements of electric vehicles reach t

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Liu, Kai, Sijia Luo, and Jing Zhou. "En-Route Battery Management and a Mixed Network Equilibrium Problem Based on Electric Vehicle Drivers’ En-Route Recharging Behaviors." Energies 13, no. 16 (2020): 4061. http://dx.doi.org/10.3390/en13164061.

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With the rapidly increasing number of electric vehicle users, in many urbans transport networks, there are mixed traffic flows (i.e., electric vehicles and gasoline vehicles). However, limited by driving ranges and long battery recharging, the battery electric vehicle (BEV) drivers’ route choice behaviors are inevitably affected. This paper assumes that in a transportation network, when BEV drivers are traveling between their original location and destinations, they tend to select the path with the minimal driving times and recharging time, and ensure that the remaining charge is not less than

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Lieutenant, Klaus, Ana Vassileva Borissova, Mohamad Mustafa, Nick McCarthy, and Ioan Iordache. "Comparison of “Zero Emission” Vehicles with Petrol and Hybrid Cars in Terms of Total CO2 Release—A Case Study for Romania, Poland, Norway and Germany." Energies 15, no. 21 (2022): 7988. http://dx.doi.org/10.3390/en15217988.

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The authors compare the energy consumption and CO2 emissions from vehicles using internal combustion engines (ICE), battery electric vehicles (BEV), fuel cell electric vehicles (FCEV), and two types of hybrid vehicles, BEV-ICE hybrid and BEV-FCEV hybrid. This paper considers several scenarios for four countries’ electricity production from primary energy sources to estimate total CO2 release. Energy consumption of the vehicle per 100 km, emissions during manufacturing, battery production, and lifecycle of the vehicle are considered in the total amount evaluation of CO2 released. The results sh

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Arshul, Agarwal, and Laxmi Kalyani Vijay. "Study On Electric Vehicles And Sensors: a Largest Market of Future In India." Journal of Management Engineering and Information Technology - JMEIT 7, no. 4 (2020): 17–23. https://doi.org/10.5281/zenodo.4009645.

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ABSTRACT: Electric vehicles are the most prominent technology to reduce air pollution and reduces the greenhouse gas emissions. They are day by day becoming more common in the automobile companies and automotive sectors. The sensors technology based EVs are getting more attractive, for the industry as well as for the customers. These vehicles are consisting of hybrid electric vehicle (HEV), fuel cell electric vehicle (FCEV), and battery electric vehicle (BEV). This kind of transportation is going to substitute internal combustion engine (ICE) vehicles in the future scenario. These vehicles are

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Syamaidzar, Ahmad Luqyanto, Christian Felix Putra Padang, I. Nyoman Satya Kumara, and Raka Agung I Gusti Agung Putu. "ANALISIS SPESIFIKASI TEKNIS SISTEM PENGEMUDIAN ELEKTRIK PADA KENDARAAN LISTRIK BERBASIS BATERAI KOMERSIAL POPULER." Jurnal SPEKTRUM 11, no. 1 (2024): 66. http://dx.doi.org/10.24843/spektrum.2024.v11.i01.p8.

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The increase in the number of motor vehicles in Indonesia has elevated the negative impact on the environment, both in terms of air pollution and global warming. According to the Ministry of Transportation (Kemhub), the number of motor vehicles in Indonesia reached 141.99 million units in 2021. The electrification of motor vehicles is one of the solutions to reduce emissions from the motor vehicle sector. This is supported by Presidential Regulation No. 55/2019 to stimulate the growth of the national battery-based electric vehicle (BEV) industry. This paper reviews battery-based electric vehic

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Kawamoto, Ryuji, Hideo Mochizuki, Yoshihisa Moriguchi, et al. "Estimation of CO2 Emissions of Internal Combustion Engine Vehicle and Battery Electric Vehicle Using LCA." Sustainability 11, no. 9 (2019): 2690. http://dx.doi.org/10.3390/su11092690.

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In order to reduce vehicle emitted greenhouse gases (GHGs) on a global scale, the scope of consideration should be expanded to include the manufacturing, fuel extraction, refinement, power generation, and end-of-life phases of a vehicle, in addition to the actual operational phase. In this paper, the CO2 emissions of conventional gasoline and diesel internal combustion engine vehicles (ICV) were compared with mainstream alternative powertrain technologies, namely battery electric vehicles (BEV), using life-cycle assessment (LCA). In most of the current studies, CO2 emissions were calculated as

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Wu, Dongxiao, Jin Ren, Huw Davies, Jinlei Shang, and Olivier Haas. "Intelligent Hydrogen Fuel Cell Range Extender for Battery Electric Vehicles." World Electric Vehicle Journal 10, no. 2 (2019): 29. http://dx.doi.org/10.3390/wevj10020029.

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Road transport is recognized as having a negative impact on the environment. Policy has focused on replacement of the internal combustion engine (ICE) with less polluting forms of technology, including battery electric and fuel cell electric powertrains. However, progress is slow and both battery and fuel cell based vehicles face considerable commercialization challenges. To understand these challenges, a review of current electric battery and fuel cell electric technologies is presented. Based on this review, this paper proposes a battery electric vehicle (BEV) where components are sized to t

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Simbolon, Adventus Managam, Budiman Rusli, and Candardewini -. "Kebijakan Kendaraan Listrik dalam Perspektif Pasar dan Infrastruktur: Studi Reviu Komparasi Bilateral Korea Selatan dan Indonesia." Jurnal Penelitian Transportasi Darat 24, no. 2 (2022): 83–91. http://dx.doi.org/10.25104/jptd.v24i2.1943.

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ABSTRACTElectric Vehicle Policy in Market and Infrastructure Perspectives: A Comparative Review Study of South Korea and Indonesia: Environmentally friendly transportation policy is necessary for developing transportation mode technology and sustainable development today. One of the technologies that is widely developed in the field of environmentally friendly transportation is electric vehicles. Many factors influence the implementation of electric vehicle policies in a country, including market stimulation policies and the provision of electric vehicle infrastructure. This paper aims to prod

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Pollock, Jason, Perk Lin Chong, Manu Ramegowda, Nashwan Dawood, Pengyan Guo, and Lip Kean Moey. "Battery Electric Vehicle Lightweighting Strategies: Addressing Energy Consumption and Range Anxiety." International Journal of Automotive and Mechanical Engineering 21, no. 4 (2024): 11770–83. http://dx.doi.org/10.15282/ijame.21.4.2024.4.0905.

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In general, an internal combustion engine vehicle is still the convention in personal and commercial transport, but due to its high use stage CO2 emission, a shift is occurring in propulsion methods, and the use of battery electric vehicles (BEV) will become the new norm. BEV’s curb weight is, in general, greater than that of a conventional fuelled vehicle (CFV) for equivalent classes. Consequently, it is questionable that the level of BEV’s energy consumption is acceptable. The aim of this paper is to compare the mass induced energy consumption of CFV and BEV. The expectation is that the comp

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Sangale, Nitin, Prasad Yerraguntla, Prasad Warule, Rahul Singh, and Boreddy Peddi Reddy. "Need of On-Board Diagnostics Compliance in Battery Electric Vehicle (BEV)." ARAI Journal of Mobility Technology 5, no. 3 (2025): 1674–89. https://doi.org/10.37285/ajmt.5.3.5.

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Climate change and increasing air pollution pose major challenges to the world. Climate change is also causing global warming, particularly serious in urban India with dense population, due to which automotive OEMs focusing on CO₂ reduction are turning to battery electric vehicles (BEVs) as a way of offsetting pollution created by ICE vehicles. However, the production of electric energy causes CO₂ emissions averaging 820g/kWh, as most of this electricity is still generated from carbon-based sources like oil, coal, and gas. This also contributes to pollutant emissions in regions where power pla

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Hua, Xia, Alan Thomas, and Kurt Shultis. "Recent progress in battery electric vehicle noise, vibration, and harshness." Science Progress 104, no. 1 (2021): 003685042110052. http://dx.doi.org/10.1177/00368504211005224.

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As battery electric vehicle (BEV) market share grows so must our understanding of the noise, vibration, and harshness (NVH) phenomenon found inside the BEVs which makes this technological revolution possible. Similar to the conventional vehicle having encountered numerous NVH issues until today, BEV has to face many new and tough NVH issues. For example, conventional vehicles are powered by the internal combustion engine (ICE) which is the dominant noise source. The noises from other sources were generally masked by the combustion engine, thus the research focus was on the reduction of combust

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Chen, Hao, and Hesham A. Rakha. "Battery Electric Vehicle Eco-Cooperative Adaptive Cruise Control in the Vicinity of Signalized Intersections." Energies 13, no. 10 (2020): 2433. http://dx.doi.org/10.3390/en13102433.

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This study develops a connected eco-driving controller for battery electric vehicles (BEVs), the BEV Eco-Cooperative Adaptive Cruise Control at Intersections (Eco-CACC-I). The developed controller can assist BEVs while traversing signalized intersections with minimal energy consumption. The calculation of the optimal vehicle trajectory is formulated as an optimization problem under the constraints of (1) vehicle acceleration/deceleration behavior, defined by a vehicle dynamics model; (2) vehicle energy consumption behavior, defined by a BEV energy consumption model; and (3) the relationship be

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Et.al, Dr A. Srujana. "Electric Vehicle Battery Modelling and Simulation Using MATLAB-Simulink." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 4604–9. http://dx.doi.org/10.17762/turcomat.v12i3.1853.

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Electric vehicles ( EVs) are an alternate means of transport for future as they have great potential to minimize the use of petrol based and other transport fuels that emit high CO2. The components of the BEV framework were discussed here, and a battery electric vehicle (BEV) model was simulated on MATLAB-Simulink. Also, the related components of the electrical system and its corresponding verification equations have been established. In addition, all simulation outcomes were considered. This research provides a basis for further research.

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Konzept, Anja, Benedikt Reick, André Kaufmann, Ralf Hermanutz, and Ralf Stetter. "Battery Electric Vehicle Efficiency Test for Various Velocities." Vehicles 4, no. 1 (2022): 60–73. http://dx.doi.org/10.3390/vehicles4010004.

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Since battery electric vehicle (BEV) sales are increasing, the calculation of necessary electric power supply, and energy consumption data, and vehicle range is important. The Worldwide harmonized Light vehicles Test Procedure (WLTP) currently in use can deliver data to collect comparable energy consumption data for different vehicles on defined chassis dynamometer test cycles. Nevertheless, the energy consumption and so the range of BEVs are also dependent on the individual trajectory of the user. Therefore, five velocity profiles are developed in this work. The maximum speeds are based on ty

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Jung, Heejung, Rebecca Silva, and Michael Han. "Scaling Trends of Electric Vehicle Performance: Driving Range, Fuel Economy, Peak Power Output, and Temperature Effect." World Electric Vehicle Journal 9, no. 4 (2018): 46. http://dx.doi.org/10.3390/wevj9040046.

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This study investigated scaling trends of commercially available light-duty battery electric vehicles (BEVs) ranging from model year 2011 to 2018. The motivation of this study is to characterize the status of BEV technology with respect to BEV performance parameters to better understand the limitations and potentials of BEV. The raw data was extracted from three main sources: INL (Idaho National Laboratory) website, EPA (Environmental Protection Agency) Fuel Economy website, and the websites BEV manufacturers and internet in general. Excellent scaling trends were found between the EPA driving

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Sagaria, Shemin, António Moreira, Fernanda Margarido, and Patricia Baptista. "From Microcars to Heavy-Duty Vehicles: Vehicle Performance Comparison of Battery and Fuel Cell Electric Vehicles." Vehicles 3, no. 4 (2021): 691–720. http://dx.doi.org/10.3390/vehicles3040041.

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Low vehicle occupancy rates combined with record conventional vehicle sales justify the requirement to optimize vehicle type based on passengers and a powertrain with zero-emissions. This study compares the performance of different vehicle types based on the number of passengers/payloads, powertrain configuration (battery and fuel cell electric configurations), and drive cycles, to assess range and energy consumption. An adequate choice of vehicle segment according to the real passenger occupancy enables the least energy consumption. Vehicle performance in terms of range points to remarkable r

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Sagaria, Shemin, António Moreira, Fernanda Margarido, and Patricia Baptista. "From Microcars to Heavy-Duty Vehicles: Vehicle Performance Comparison of Battery and Fuel Cell Electric Vehicles." Vehicles 3, no. 4 (2021): 691–720. http://dx.doi.org/10.3390/vehicles3040041.

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Low vehicle occupancy rates combined with record conventional vehicle sales justify the requirement to optimize vehicle type based on passengers and a powertrain with zero-emissions. This study compares the performance of different vehicle types based on the number of passengers/payloads, powertrain configuration (battery and fuel cell electric configurations), and drive cycles, to assess range and energy consumption. An adequate choice of vehicle segment according to the real passenger occupancy enables the least energy consumption. Vehicle performance in terms of range points to remarkable r

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Kleiner, Jan, Lidiya Komsiyska, Gordon Elger, and Christian Endisch. "Thermal Modelling of a Prismatic Lithium-Ion Cell in a Battery Electric Vehicle Environment: Influences of the Experimental Validation Setup." Energies 13, no. 1 (2019): 62. http://dx.doi.org/10.3390/en13010062.

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In electric vehicles with lithium-ion battery systems, the temperature of the battery cells has a great impact on performance, safety, and lifetime. Therefore, developing thermal models of lithium-ion batteries to predict and investigate the temperature development and its impact is crucial. Commonly, models are validated with experimental data to ensure correct model behaviour. However, influences of experimental setups or comprehensive validation concepts are often not considered, especially for the use case of prismatic cells in a battery electric vehicle. In this work, a 3D electro–thermal

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Barthauer, Mirko. "Effects of Charging Strategies and Policies on Electric Vehicles and Infrastructure From a Microscopic Perspective." SUMO Conference Proceedings 6 (July 15, 2025): 51–63. https://doi.org/10.52825/scp.v6i.2622.

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The growing number of battery electric vehicles (BEV) implies changes in urban infrastructure. Large amounts of charging stations are to be built within few years to supply energy for a mostly electric vehicle fleet. In parallel the power grid has to be adpated to the growing energy demand. However charging behaviour depends on mobility patterns and which type of charging stations can be accessed. For example, charging at work is mostly restricted to employees and happens during working hours. Public charging stations cater any BEV user but take precious public space. In this work several char

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Chiver, O., N. Burnete, I. R. Şugar, and L. Neamt. "Study on the efficiency of Battery Electric Vehicle." IOP Conference Series: Materials Science and Engineering 1311, no. 1 (2024): 012013. http://dx.doi.org/10.1088/1757-899x/1311/1/012013.

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Abstract The paper deals with aspects that influence the efficiency of electric vehicles and, respectively, their efficiency compared to hybrid or ICE vehicles. Different driving cycles are considered, especially referring to driving on the highway, or urban driving with repeated starts and stops, with average speed relatively low, and the acceleration not too high. Besides these, a comparison will be made between the situations in which the BEV has one speed or two speeds, since the weight of the vehicle is greater in the latter case. Then a hybrid and a conventional model will be tested for

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Dhakal, Thakur, and Kyoung-Soon Min. "Macro Study of Global Electric Vehicle Expansion." Foresight and STI Governance 15, no. 1 (2021): 67–73. http://dx.doi.org/10.17323/2500-2597.2021.1.67.73.

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This study analyzes the diffusion of battery electric vehicles (BEV) in the world and evaluates the vehicle charging stations based on the European Union (EU) scenario. Initially, the global BEV sales data from 2005 to 2018 are fitted with the two most frequently used econometric logistics and Bass diffusion models. Further, the study identifies the different stage adopters, forecasts the consumption of BEVs, and examines the velocity and acceleration of BEV diffusion. Finally, future charging stations are examined to meet the BEV sales demand. Results suggest that the adoption of BEVs demonst

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Wei, Yuchen, and Manchen Huang. "The Technology and Development of New Energy Vehicles." Highlights in Science, Engineering and Technology 29 (January 31, 2023): 93–104. http://dx.doi.org/10.54097/hset.v29i.4485.

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Due to CO2 pollution, due to the energy saving and high efficiency of new energy vehicles, new energy vehicles have begun to develop at a high speed, and there is a hidden trend to replace traditional fuel vehicles. This paper will introduce hybrid vehicle (HEV), plug-in hybrid electric vehicle (PHEV) and electric vehicle (EV: including battery electric vehicle (BEV) and fuel cell electric vehicle (FCEV)) by type classification vehicle the characteristics and corresponding principles of these new energy vehicles. The motor and energy systems of different models are analyzed, the advantages and

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Woody, Maxwell, Parth Vaishnav, Gregory A. Keoleian, et al. "The role of pickup truck electrification in the decarbonization of light-duty vehicles." Environmental Research Letters 17, no. 3 (2022): 034031. http://dx.doi.org/10.1088/1748-9326/ac5142.

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Abstract Electrification can reduce the greenhouse gas (GHG) emissions of light-duty vehicles. Previous studies have focused on comparing battery electric vehicle (BEV) sedans to their conventional internal combustion engine vehicle (ICEV) or hybrid electric vehicle (HEV) counterparts. We extend the analysis to different vehicle classes by conducting a cradle-to-grave life cycle GHG assessment of model year 2020 ICEV, HEV, and BEV sedans, sports utility vehicles (SUVs), and pickup trucks in the United States. We show that the proportional emissions benefit of electrification is approximately i

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Lu, Tianwei, Enjian Yao, Fanglei Jin, and Long Pan. "Alternative Incentive Policies against Purchase Subsidy Decrease for Battery Electric Vehicle (BEV) Adoption." Energies 13, no. 7 (2020): 1645. http://dx.doi.org/10.3390/en13071645.

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The purchase subsidy policy gives powerful support in battery electric vehicles’ (BEVs) market penetration. However, the purchase subsidy is also a huge financial burden for the government, so it can only be considered as a transitional measure and will be canceled gradually. This paper aims to investigate the impact of purchase subsidy phase-out on BEV adoptions and explore alternative incentive policies to continue stimulating BEV adoptions. A stated preference (SP) survey is conducted in Beijing, and a binary logit (BL) model is established to describe how various factors affect BEV adoptio

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König, Adrian, Lorenzo Nicoletti, Daniel Schröder, Sebastian Wolff, Adam Waclaw, and Markus Lienkamp. "An Overview of Parameter and Cost for Battery Electric Vehicles." World Electric Vehicle Journal 12, no. 1 (2021): 21. http://dx.doi.org/10.3390/wevj12010021.

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The launch of both battery electric vehicles (BEVs) and autonomous vehicles (AVs) on the global market has triggered ongoing radical changes in the automotive sector. On the one hand, the new characteristics of the BEV powertrain compared to the combustion type have resulted in new central parameters, such as vehicle range, which then become an important selling point. On the other hand, electric components are as yet not optimized and the sensors needed for autonomous driving are still expensive, which introduces changes to the vehicle cost structure. This transformation is not limited to the

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Fiorillo, Carlo, Mattia Mauro, Atriya Biswas, Angelo Bonfitto, and Ali Emadi. "Designing a Real-Time Implementable Optimal Adaptive Cruise Control for Improving Battery Health and Energy Consumption in EVs through V2V Communication." Energies 17, no. 9 (2024): 1986. http://dx.doi.org/10.3390/en17091986.

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Battery electric vehicles (BEVs) face challenges like their limited all-electric range, the discrepancy between promised and actual energy efficiency, and battery health degradation, despite their environmental benefits. This article proposes an optimal adaptive cruise control (OACC) framework by leveraging ideal vehicle-to-vehicle communication to address these challenges. In a connected vehicle environment, where it is assumed that the Ego vehicle’s vehicle control unit (VCU) accurately knows the speed and position of the Leading vehicle, the VCU can optimally plan the acceleration trajector

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Kwon, Jihoon, Manho Kim, Hyeongjun Kim, Minwoo Lee, and Suk Lee. "Driving Profile Optimization Using a Deep Q-Network to Enhance Electric Vehicle Battery Life." Journal of Sensors 2023 (September 6, 2023): 1–8. http://dx.doi.org/10.1155/2023/6684018.

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In the COVID-19 era, automobiles with internal combustion engines are being replaced by eco-friendly vehicles. The demand for battery electric vehicles (BEVs) has increased explosively. Treatment of spent batteries has received much attention. Battery life can be extended via both efficient charging and driving. Consideration of the vehicles ahead when driving a BEV effectively prolongs battery life. Several studies have presented eco-friendly driving profiles for BEVs, the cited authors did not develop a BEV driving profile that considered battery life using reinforcement learning. Here, this

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Zai, Wenjie. "New-Energy Vehicle Transmission System Optimization and Design." Journal of Electronic Research and Application 7, no. 3 (2023): 20–26. http://dx.doi.org/10.26689/jera.v7i3.5142.

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This paper discusses the optimization and design of the new-energy vehicle transmission systems. Traditional automatic transmission systems suffer from fuel consumption and emissions issues, as well as limitations in the efficiency of mechanical transmission systems. In order to solve these problems, different types of transmission systems are used in new-energy vehicles, including battery electric vehicles (BEV), hybrid electric vehicles (HEV), and fuel cell electric vehicles (FCEV). The key factors for optimizing the transmission systems of new-energy vehicles include battery technology and

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Liao, Yuan, Ju Hua Huang, and Qun Zeng. "Distributed Battery Management System in Battery Electric Vehicle." Advanced Materials Research 201-203 (February 2011): 2427–30. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.2427.

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According to the features of lithium ion battery packs, a distributed battery management system (BMS) for battery electric vehicle (BEV) is designed in this article. The BMS consists of a master module with several sampling modules. The kernel of master module is TMS320C2812 digital signal processor, and the kernel of sampling module is P87C591 singlechip. The main functions of master module include estimation of state of charge (SOC) and security management of lithium ion battery packs, and the main functions of sampling module include battery information collection and CAN bus based communic

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Accardo, Antonella, Giovanni Dotelli, Marco Luigi Musa, and Ezio Spessa. "Life Cycle Assessment of an NMC Battery for Application to Electric Light-Duty Commercial Vehicles and Comparison with a Sodium-Nickel-Chloride Battery." Applied Sciences 11, no. 3 (2021): 1160. http://dx.doi.org/10.3390/app11031160.

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This paper presents the results of an environmental assessment of a Nickel-Manganese-Cobalt (NMC) Lithium-ion traction battery for Battery Electric Light-Duty Commercial Vehicles (BEV-LDCV) used for urban and regional freight haulage. A cradle-to-grave Life Cycle Inventory (LCI) of NMC111 is provided, operation and end-of-life stages are included, and insight is also given into a Life Cycle Assessment of different NMC chemistries. The environmental impacts of the manufacturing stages of the NMC111 battery are then compared with those of a Sodium-Nickel-Chloride (ZEBRA) battery. In the second p

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Hoffmann, Johannes, Verena Szkudlarek, Daniela Ludin, Norbert Schreier, Erika Mueller, and Wanja Wellbrock. "Factors Influencing the Purchase of Battery Electric Vehicles (BEVs)." Tehnički glasnik 19, no. 3 (2025): 359–67. https://doi.org/10.31803/tg-20240523122223.

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This research aims to identify the key factors influencing the new registrations of battery electric vehicles (BEVs) in Germany. Focusing the topics economy, mobility change and climate sustainability a mixed-methods approach was used combining a regression analysis based on public databases and qualitative interviews with experts, represented by vehicle testing organizations, BEV leasing companies, car dealerships and automotive magazines. The study revealed similarities as well as discrepancies between expert opinions and the regression analysis results in the fields of real GDP, education r

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Wang, Yaoyao, Shun Zhang, Liang Liu, et al. "A Review of Battery Electric Public Transport Timetabling and Scheduling: A 10 Year Retrospective and New Developments." Electronics 14, no. 9 (2025): 1694. https://doi.org/10.3390/electronics14091694.

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Battery electric vehicles (BEVs) have emerged as a cornerstone of sustainable transportation systems, driving a fundamental transformation in public transport (PT) operations over the past decade. The unique characteristics of BEVs, including range limitations and battery degradation dynamics, necessitate a multi-dimensional optimization framework that simultaneously considers energy supply management, operational efficiency, and battery lifecycle optimization in transit scheduling and timetabling. This paper presents a systematic review of BEV timetabling and scheduling research, structured a

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Nicoletti, Lorenzo, Sebastian Mayer, Matthias Brönner, Ferdinand Schockenhoff, and Markus Lienkamp. "Design Parameters for the Early Development Phase of Battery Electric Vehicles." World Electric Vehicle Journal 11, no. 3 (2020): 47. http://dx.doi.org/10.3390/wevj11030047.

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The derivation of a battery electric vehicle (BEV) architecture represents a challenging task for car manufacturers. For the early development of combustion engine architectures, the required design parameters can be derived from the analysis of previously-built model series. Regarding BEV architectures, the manufacturers do not yet have a reference series of vehicles on the basis of which they can derive the essential design parameters. Therefore, these parameters are mainly estimated at high cost in the early development phase. To avoid cost-intensive changes in the further course of develop

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Zhu, Gui Ping, and Zong Xiang Lu. "Research of Impacts on Power Systems by Electric Vehicle Charging in China." Advanced Materials Research 512-515 (May 2012): 2643–49. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.2643.

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Battery Electric vehicle (BEV) has been set as one of the most prominent sectors of automobile industry in China in the future due to its significant contribution to energy safety, low carbon emission and leading technology status in vehicle driven by new energy. High penetration of BEV will have obvious impacts on power systems, and its load characteristics are quite different from those traditional loads. Therefore with an eye on the safe, stable and economic operation of power system, this paper studied the impacts of EV on power systems from four aspects: total electricity demand, power ru

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Thanh, Pham Viet, Duong Van Duc, Hoang Xuan Khoa, and Tran Van Dua. "Integrating the Root Assessment Method with Subjective Weighting Methods for Battery Electric Vehicle Selection." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 21526–31. https://doi.org/10.48084/etasr.10291.

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The global automotive industry is actively transitioning towards the production of BEVs (Battery Electric Vehicles) to significantly reduce carbon emissions and address climate change. In the context of a world striving for sustainable development, selecting the right BEV has become a crucial decision for consumers. This study pioneers the application of the RAM (Root Assessment Method) method for BEV selection among 10 available options. Each electric vehicle is described by 11 criteria, with weights calculated using two subjective weighting methods: the ROC method and the RS (Rank Sum) metho

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Pollock, Jason, Perk Lin Chong, Manu Ramegowda, et al. "Battery Electric Vehicles: A Study on State of Charge and Cost-Effective Solutions for Addressing Range Anxiety." Machines 13, no. 5 (2025): 411. https://doi.org/10.3390/machines13050411.

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While Battery Electric Vehicles (BEVs) offer environmental benefits by reducing carbon emissions during use, their range remains limited compared to conventionally fuelled vehicles. This paper focuses on identifying factors that directly influence BEV range and explores strategies to mitigate range anxiety among potential users. Specifically, it reviews the impact of battery cell characteristics and vehicle lightweighting. Using the WLTP Class 3B drive cycle, energy consumption and Depth of Discharge (DoD) were evaluated across various battery capacities. Multiple Lithium-Ion battery models we

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Feng, Yunwen, Jean-Daniel Saphores, Hilary Nixon, and Monica Ramirez Ibarra. "Battery Electric Vehicles: Travel Characteristics of Early Adopters." Sustainability 16, no. 10 (2024): 4263. http://dx.doi.org/10.3390/su16104263.

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Do U.S. households with battery electric vehicles (BEVs) drive less or more than U.S. households with internal combustion engine vehicles (ICEVs)? Answering this question is important to policymakers and transportation planners concerned with reducing vehicle miles traveled and the emissions of greenhouse gases from transportation. So far, this question has not been answered satisfactorily, possibly because of the relatively low number of EVs in the U.S. until recently, but also because of methodological issues. In this paper, we aim to fill this gap by analyzing data from the 2017 National Ho

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Yuan, Quan, Wei Hao, Haotian Su, Guanwen Bing, Xinyuan Gui, and Abolfazl Safikhani. "Investigation on Range Anxiety and Safety Buffer of Battery Electric Vehicle Drivers." Journal of Advanced Transportation 2018 (June 13, 2018): 1–11. http://dx.doi.org/10.1155/2018/8301209.

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Drivers tend to have more range anxiety compared with driving traditional fuel vehicles if they are driving battery electric vehicle (BEV) with a long trip. Range anxiety could potentially have negative effect on driver’s emotions and behaviors. In order to understand this behavior and improve the related safety issues, this paper will focus on BEV drivers’ study in China. A survey on BEV drivers’ actual range anxiety as well as the effect of range anxiety on drivers’ behaviors is conducted in this research. Levels of feelings and attitudes of the interviewees are quantized with Likert scales

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He, Ping. "Challenges of Battery Pack to the Industrialization of Battery Electric Vehicles and the Corresponding Solutions in China." Advanced Materials Research 744 (August 2013): 571–75. http://dx.doi.org/10.4028/www.scientific.net/amr.744.571.

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The development situation of power batteries is described in this paper. After a detailed comparison between lead-acid battery, Ni-MH battery and Li-ion battery, it is concluded that polymer Li-ion battery is the most promising power source for battery electric vehicle (BEV). Although great achievement has been obtained in Li-ion battery development, restrictions still remain on the industrialization of battery electric vehicles. Poor battery packs, patent disputes and the establishment of charging facilities are three key problems in the process of industrializing BEVs. Finally, the generaliz

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Usama, Muhammad, Yongjun Shen, and Onaira Zahoor. "Towards an Energy Efficient Solution for Bike-Sharing Rebalancing Problems: A Battery Electric Vehicle Scenario." Energies 12, no. 13 (2019): 2503. http://dx.doi.org/10.3390/en12132503.

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A free-float bike-sharing system faces various operational challenges to maintain good service quality while optimizing the operational cost. The primary problems include the fulfillment of the users demand at all stations, and the replacement of faulty bikes presented in the system. This study focuses on a free-float bike-sharing system rebalancing problem (FFBP) with faulty bikes using battery electric vehicles (BEVs). The target inventory of bikes at each station is obtained while minimizing the total traveling time through the presented formulation. Using CPLEX solver, the model is demonst

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Oliveri, Ludovica Maria, Diego D’Urso, Natalia Trapani, and Ferdinando Chiacchio. "Electrifying Green Logistics: A Comparative Life Cycle Assessment of Electric and Internal Combustion Engine Vehicles." Energies 16, no. 23 (2023): 7688. http://dx.doi.org/10.3390/en16237688.

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Green logistics is an approach aimed at reducing the environmental impact of transport, storage, and distribution practices, through low-emission vehicles, optimized routes, clean energy tech in warehouses, and efficient waste management. These solutions can contribute to achieving the sustainable development goals of the European Green Deal. The main research question of this paper is whether an electric vehicle has a lower environmental impact compared to a gasoline vehicle. This study presents a life cycle assessment (LCA) of an electric vehicle using lithium-ion battery technology (BEV) an

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YUEN, KAH-HUNG. "COST-EFFECTIVENESS ANALYSIS OF ELECTRIC VEHICLES IN SINGAPORE." Singapore Economic Review 63, no. 02 (2018): 313–38. http://dx.doi.org/10.1142/s0217590817400148.

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As a compact city-state with a modern electricity grid and relatively clean energy sources, Singapore seems ideal for the deployment of the battery electric vehicle (BEV). A fleet of 89 BEVs were deployed in a test-bed that was concluded in 2013. The paper conducts a cost-effectiveness analysis and financial analysis of the Renault Fluence ZE and its comparable gasoline model to assess the economics of BEVs. It concludes that BEV adoption in Singapore is both undesirable (due to higher social costs) and unlikely (due to higher private costs) in the immediate and near future. Where 94% of the p

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Linja-Aho, Vesa. "Perceived and Actual Fire Safety – Case of Hybrid and Electric Vehicle Fires in Finland 2015–2023." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 19 (December 31, 2023): 1313–28. http://dx.doi.org/10.37394/232015.2023.19.119.

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As an emerging technology, hybrid and electric vehicles draw media attention and so does their fire safety. For this article, Finnish national rescue task database (Pronto) was reviewed for electric and hybrid vehicle fires for years 2015–2023, and the 44 records found were analyzed for the fire behavior and the successfulness of the rescue operation. Hybrid and electric vehicle fires are both absolutely and relatively rare compared to conventional vehicle fires. The incident rate for plug-in vehicles has been 0.2–0.9 per 10000 vehicles per year in the 2020s, which is significantly smaller tha

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Ishizaki, Keita, and Masaru Nakano. "Forecasting Life Cycle CO2Emissions of Electrified Vehicles by 2030 Considering Japan’s Energy Mix." International Journal of Automation Technology 12, no. 6 (2018): 806–13. http://dx.doi.org/10.20965/ijat.2018.p0806.

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This paper presents a comprehensive life-cycle analysis of CO2(LCCO2) emissions from automobiles using a hybrid life-cycle inventory approach to predict the growth of electrified vehicles in Japan. Herein, the hybrid electric vehicle (HEV), plug-in HEV (PHEV), and battery electric vehicle (BEV) versions of the mass-produced Toyota Prius hatchback are analyzed, considering the automobile-usage environment in Japan. In particular, a breakeven analysis of HEV vs. PHEV vs. BEV is conducted in terms of LCCO2emissions that are affected by (i) outside air temperature and (ii) CO2emissions during powe

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Amalya Khalisha Nur El Islami and Harimukti Wandebori. "Strategic Marketing Approaches to Enhance The Adoption of Toyota Battery Electric Vehicles in Indonesia, Tunas Toyota Cawang." Syntax Literate ; Jurnal Ilmiah Indonesia 10, no. 3 (2025): 2932–41. https://doi.org/10.36418/syntax-literate.v10i3.55741.

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This research examines strategic marketing methods to enhance the adoption of Toyota Battery Electric Vehicles (BEVs) in Indonesia, concentrating on Tunas Toyota Cawang from 2022 to 2024. Despite the swift expansion of the Indonesian electric vehicle (EV) market, Toyota's battery electric vehicle (BEV) sales have been subpar, impeded by consumer misconceptions, insufficient charging infrastructure, formidable competition from economical Chinese brands, and a prevailing inclination towards hybrid vehicles. These challenges highlight the necessity for customized marketing methods to enhance Toyo

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Dhoke, Ashvin, and Amol Dalavi. "Optimal design of honeycomb battery pack enclosure for electric vehicle." International Journal for Simulation and Multidisciplinary Design Optimization 15 (2024): 23. http://dx.doi.org/10.1051/smdo/2024020.

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A lithium-ion battery pack enclosure which consists of batteries is the prime source of energy for battery electric vehicles, BEV. While electric vehicle is in running condition, the battery enclosure comes across the worst scenarios like the vibrations coming from the road and impact because of road surface variations. These will cause structural stresses and variations in deformations for the enclosure structure. Electric vehicle safety wholly depends on how safe its battery pack assembly for its mechanical properties, like ability to resist deformation under static loading, vibration, and s

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Nanjundan, Prabakaran, Ramachandran M, Ramya Sharma, and Chandrasekar Raja. "Performance Assessment of Battery Electric Vehicles Using the TOPSIS Method." 4 2, no. 4 (2023): 18–26. http://dx.doi.org/10.46632/jacp/2/4/3.

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Worldwide interest in "hybrid and battery electric vehicles" has increased recently as a result of their ability to save on fuel, lessen reliance on foreign oil, and reduce greenhouse gas emissions. The effectiveness of the sub-systems that these vehicles are built with determines their overall success in large part. It is necessary to estimate these subsystems' parameters with great accuracy to improve their performances. "Battery electric vehicles (BEVs)", an eco-friendly type of vehicle, are crucial given that the automotive industry contributes significantly to carbon emissions. Due to the

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Michalczuk, M., L. M. Grzesiak, and B. Ufnalski. "Hybridization of the lithium energy storage for an urban electric vehicle." Bulletin of the Polish Academy of Sciences: Technical Sciences 61, no. 2 (2013): 325–33. http://dx.doi.org/10.2478/bpasts-2013-0030.

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Abstract This paper discusses benefits of introducing an ultracapacitor (UC) bank into a battery electric vehicle (BEV) powertrain. The case of 12kWh LiFePO4 battery pack is studied quantitatively. Simulation results refer, inter alia, to three main scenarios: fresh cells, half-used battery cells, and half-used ultracapacitors and batteries. Thermal modeling is incorporated into the simulation. Data from real world are considered: various driving cycles recorded using GPS receiver (incl. elevation), discharge curves from battery manufacturer, and UC equivalent series resistance (ESR) variation

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Arpit Darbari and Sanskruti Sawant. "Electric vehicle batteries and its effect on the global market." Global Journal of Engineering and Technology Advances 20, no. 1 (2024): 010–17. http://dx.doi.org/10.30574/gjeta.2024.20.1.0117.

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The introduction of autonomous vehicles (AVs) and battery electric vehicles (BEVs) to the global automotive industry has generated ongoing, significant advances. Electric vehicles (EVs) are becoming more and more popular due to a variety of factors, including falling prices and greater environmental and climate awareness. Unique essential criteria, including vehicle range, have been produced because of the BEV powertrain's new features compared to the combustion type, and this has made them a key selling factor. The cost structure of the vehicle is altered by the fact that the electric compone

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Arpit, Darbari, and Sawant Sanskruti. "Electric vehicle batteries and its effect on the global market." Global Journal of Engineering and Technology Advances 20, no. 1 (2024): 010–17. https://doi.org/10.5281/zenodo.13693985.

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The introduction of autonomous vehicles (AVs) and battery electric vehicles (BEVs) to the global automotive industry has generated ongoing, significant advances. Electric vehicles (EVs) are becoming more and more popular due to a variety of factors, including falling prices and greater environmental and climate awareness. Unique essential criteria, including vehicle range, have been produced because of the BEV powertrain's new features compared to the combustion type, and this has made them a key selling factor. The cost structure of the vehicle is altered by the fact that the electric compone

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