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Data Drive—Charging Behavior of Electric Vehicle Users with Variable Roles

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  • Weihua Wu

    (School of Management Engineering, Xuzhou University of Technology, Xuzhou 221018, China
    School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
    Graduate School of Management of Technology, Pukyong National University, Busan 48513, Republic of Korea)

  • Jieyun Wei

    (School of Management Engineering, Xuzhou University of Technology, Xuzhou 221018, China)

  • Eun-Young Nam

    (Department of Global Trade, Dongguk University-Seoul, Seoul 04620, Republic of Korea)

  • Yifan Zhang

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Dongphil Chun

    (Graduate School of Management of Technology, Pukyong National University, Busan 48513, Republic of Korea)

Abstract

The global proliferation of electric vehicles (EVs) has brought forth new challenges in electric vehicle (EV) charging infrastructure. This paper utilizes operational data from the 5G real-time system of EV and traffic platforms (5gRTS-ET) in China, encompassing 12,597,109 cases and 32,259 EVs. By employing frequency density analysis, a dynamic charging behavior model is devised to address the limitations of static models in accommodating the diverse roles of EV users. Analysis reveals distinct charging behavior preferences among three urban EV operation modes, paving the way for an adaptive model for integrating charging points into networked operations on the platform.

Suggested Citation

  • Weihua Wu & Jieyun Wei & Eun-Young Nam & Yifan Zhang & Dongphil Chun, 2024. "Data Drive—Charging Behavior of Electric Vehicle Users with Variable Roles," Sustainability, MDPI, vol. 16(11), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4842-:d:1409653
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    References listed on IDEAS

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