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Understanding the Determinants of Electric Vehicle Range: A Multi-Dimensional Survey

Author

Listed:
  • Runze Mao

    (Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212002, China)

  • Weiqian Xu

    (Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212002, China)

  • Yutong Qian

    (Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212002, China)

  • Xiaorong Li

    (Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212002, China)

  • Yuanjiang Li

    (Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212002, China)

  • Guoyuan Li

    (Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, 6025 Alesund, Norway)

  • Houxiang Zhang

    (Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, 6025 Alesund, Norway)

Abstract

Electric vehicles (EVs) play a critical role in the transition to sustainable transportation. Despite significant advancements in technology, EVs continue to face major challenges, particularly in terms of limited range, high costs, and insufficient charging infrastructure. This paper presents a comprehensive review that systematically categorizes the multifaceted factors influencing EV range into technical, environmental, user-related, economic, policy, and cultural dimensions. The aim is to offer a holistic view of how these elements interact to shape EV performance, adoption, and usage. Notably, advancements in battery capacity, charging time, vehicle weight, and aerodynamics are identified as key factors that significantly enhance EV range. Environmental factors such as temperature and terrain are shown to drastically impact energy consumption, with cold climates leading to up to a 50% reduction in range. Furthermore, user behaviors, driving patterns, and economic factors like battery costs, charging infrastructure availability, and electricity prices play a crucial role in determining EV efficiency. This review shows the importance of supportive policies, societal attitudes, and infrastructural developments in promoting the widespread adoption of EVs, making it an innovative and timely contribution to the field.

Suggested Citation

  • Runze Mao & Weiqian Xu & Yutong Qian & Xiaorong Li & Yuanjiang Li & Guoyuan Li & Houxiang Zhang, 2025. "Understanding the Determinants of Electric Vehicle Range: A Multi-Dimensional Survey," Sustainability, MDPI, vol. 17(10), pages 1-26, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4259-:d:1651419
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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. Talat Genc & Pietro De Giovanni, 2021. "Dynamic pricing and green investments under conscious, emotional, and rational consumers," Working Papers 2101, University of Guelph, Department of Economics and Finance.
    3. Capasso, Clemente & Veneri, Ottorino, 2014. "Experimental analysis on the performance of lithium based batteries for road full electric and hybrid vehicles," Applied Energy, Elsevier, vol. 136(C), pages 921-930.
    4. Liu, Kai & Wang, Jiangbo & Yamamoto, Toshiyuki & Morikawa, Takayuki, 2018. "Exploring the interactive effects of ambient temperature and vehicle auxiliary loads on electric vehicle energy consumption," Applied Energy, Elsevier, vol. 227(C), pages 324-331.
    5. Al-Wreikat, Yazan & Serrano, Clara & Sodré, José Ricardo, 2022. "Effects of ambient temperature and trip characteristics on the energy consumption of an electric vehicle," Energy, Elsevier, vol. 238(PC).
    6. Wager, Guido & Whale, Jonathan & Braunl, Thomas, 2016. "Driving electric vehicles at highway speeds: The effect of higher driving speeds on energy consumption and driving range for electric vehicles in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 158-165.
    7. Caulfield, Brian & Furszyfer, Dylan & Stefaniec, Agnieszka & Foley, Aoife, 2022. "Measuring the equity impacts of government subsidies for electric vehicles," Energy, Elsevier, vol. 248(C).
    8. Lorenzo Nicoletti & Andrea Romano & Adrian König & Peter Köhler & Maximilian Heinrich & Markus Lienkamp, 2021. "An Estimation of the Lightweight Potential of Battery Electric Vehicles," Energies, MDPI, vol. 14(15), pages 1-29, July.
    9. Yang, Xiong & Zhuge, Chengxiang & Shao, Chunfu & Huang, Yuantan & Hayse Chiwing G. Tang, Justin & Sun, Mingdong & Wang, Pinxi & Wang, Shiqi, 2022. "Characterizing mobility patterns of private electric vehicle users with trajectory data," Applied Energy, Elsevier, vol. 321(C).
    10. Shuping Wu & Zan Yang, 2020. "Availability of Public Electric Vehicle Charging Pile and Development of Electric Vehicle: Evidence from China," Sustainability, MDPI, vol. 12(16), pages 1-14, August.
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