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

Weihua Wu, Jieyun Wei, Eun-Young Nam, Yifan Zhang and Dongphil Chun ()
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Weihua Wu: School of Management Engineering, Xuzhou University of Technology, Xuzhou 221018, China
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

Sustainability, 2024, vol. 16, issue 11, 1-18

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.

Keywords: 5G; charging point; charging behavior; EV (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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