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Parameters Influencing on Electric Vehicle Range

Author

Listed:
  • Emilia M. Szumska

    (Department of Automotive Engineering and Transport, Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, Ave. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland)

  • Rafał S. Jurecki

    (Department of Automotive Engineering and Transport, Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, Ave. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland)

Abstract

There is a range of anxiety-related phenomena among users and potential buyers of electric vehicles. Chief among them is the fear of the vehicle stopping and its users getting “stuck” before reaching their designated destination. The limited range of an electric vehicle makes EV users worry that the battery will drain while driving and the vehicle will stall on the road. It is therefore important to know the factors that could further reduce the range during daily vehicle operation. The purpose of this study was to determine the effect of selected parameters on a battery’s depth of discharge (DOD). In a simulation study of an electric vehicle, the effects of the driving cycle, ambient temperature, load, and initial state of charge of the accumulator on the energy consumption pattern and a battery’s depth of discharge (DOD) were analyzed. The simulation results confirmed that the route taken has the highest impact on energy consumption. The presented results show how significantly the operating conditions of an electric vehicle affect the energy life. This translates into an electric vehicle’s range.

Suggested Citation

  • Emilia M. Szumska & Rafał S. Jurecki, 2021. "Parameters Influencing on Electric Vehicle Range," Energies, MDPI, vol. 14(16), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4821-:d:610276
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    References listed on IDEAS

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    1. Bogdan Ovidiu Varga & Arsen Sagoian & Florin Mariasiu, 2019. "Prediction of Electric Vehicle Range: A Comprehensive Review of Current Issues and Challenges," Energies, MDPI, vol. 12(5), pages 1-19, March.
    2. Ho-Yin Mak & Ying Rong & Zuo-Jun Max Shen, 2013. "Infrastructure Planning for Electric Vehicles with Battery Swapping," Management Science, INFORMS, vol. 59(7), pages 1557-1575, July.
    3. Rui Chen & Xinglu Liu & Lixin Miao & Peng Yang, 2020. "Electric Vehicle Tour Planning Considering Range Anxiety," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    4. Guo, Fang & Yang, Jun & Lu, Jianyi, 2018. "The battery charging station location problem: Impact of users’ range anxiety and distance convenience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 1-18.
    5. Shaohua Cui & Hui Zhao & Huijie Wen & Cuiping Zhang, 2018. "Locating Multiple Size and Multiple Type of Charging Station for Battery Electricity Vehicles," Sustainability, MDPI, vol. 10(9), pages 1-20, September.
    6. Raphaela Pagany & Anna Marquardt & Roland Zink, 2019. "Electric Charging Demand Location Model—A User- and Destination-Based Locating Approach for Electric Vehicle Charging Stations," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
    7. Rafał S. Jurecki & Tomasz L. Stańczyk, 2021. "A Methodology for Evaluating Driving Styles in Various Road Conditions," Energies, MDPI, vol. 14(12), pages 1-19, June.
    8. Brady, John & O’Mahony, Margaret, 2016. "Development of a driving cycle to evaluate the energy economy of electric vehicles in urban areas," Applied Energy, Elsevier, vol. 177(C), pages 165-178.
    9. Milad Akbari & Morris Brenna & Michela Longo, 2018. "Optimal Locating of Electric Vehicle Charging Stations by Application of Genetic Algorithm," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    10. Guoqing Xu & Weimin Li & Kun Xu & Zhibin Song, 2011. "An Intelligent Regenerative Braking Strategy for Electric Vehicles," Energies, MDPI, vol. 4(9), pages 1-17, September.
    11. Guilherme Medeiros Soares de Andrade & Fernando Wesley Cavalcanti de Araújo & Maurício Pereira Magalhães de Novaes Santos & Fabio Santana Magnani, 2020. "Standardized Comparison of 40 Local Driving Cycles: Energy and Kinematics," Energies, MDPI, vol. 13(20), pages 1-20, October.
    12. Guozhong Liu & Li Kang & Zeyu Luan & Jing Qiu & Fenglei Zheng, 2019. "Charging Station and Power Network Planning for Integrated Electric Vehicles (EVs)," Energies, MDPI, vol. 12(13), pages 1-22, July.
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    4. Oluwasola O. Ademulegun & Paul MacArtain & Bukola Oni & Neil J. Hewitt, 2022. "Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions," Energies, MDPI, vol. 15(24), pages 1-28, December.
    5. Manzolli, Jônatas Augusto & Trovão, João Pedro F. & Henggeler Antunes, Carlos, 2022. "Electric bus coordinated charging strategy considering V2G and battery degradation," Energy, Elsevier, vol. 254(PA).
    6. Huang, Haichao & Li, Bowen & Wang, Yizhou & Zhang, Zhe & He, Hongdi, 2024. "Analysis of factors influencing energy consumption of electric vehicles: Statistical, predictive, and causal perspectives," Applied Energy, Elsevier, vol. 375(C).
    7. Xingxing Wang & Peilin Ye & Yujie Zhang & Hongjun Ni & Yelin Deng & Shuaishuai Lv & Yinnan Yuan & Yu Zhu, 2022. "Parameter Optimization Method for Power System of Medium-Sized Bus Based on Orthogonal Test," Energies, MDPI, vol. 15(19), pages 1-26, October.
    8. Nandan Gopinathan & Prabhakar Karthikeyan Shanmugam, 2022. "Energy Anxiety in Decentralized Electricity Markets: A Critical Review on EV Models," Energies, MDPI, vol. 15(14), pages 1-40, July.
    9. Emilia M. Szumska, 2023. "Electric Vehicle Charging Infrastructure along Highways in the EU," Energies, MDPI, vol. 16(2), pages 1-18, January.
    10. Hariharan, C. & Gunadevan, D. & Arun Prakash, S. & Latha, K. & Antony Aroul Raj, V. & Velraj, R., 2022. "Simulation of battery energy consumption in an electric car with traction and HVAC model for a given source and destination for reducing the range anxiety of the driver," Energy, Elsevier, vol. 249(C).
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