Data Drive—Charging Behavior of Electric Vehicle Users with Variable Roles-Reference-Cited by-同舟云学术

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

Published:2024-06-06 Issue:11 Volume:16 Page:4842
ISSN:2071-1050
Container-title:Sustainability
language:en
Short-container-title:Sustainability

Author:

Wu Weihua¹²³,Wei Jieyun¹,Nam Eun-Young⁴^ORCID,Zhang Yifan²,Chun Dongphil³^ORCID

Affiliation:

1. School of Management Engineering, Xuzhou University of Technology, Xuzhou 221018, China

2. School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China

3. Graduate School of Management of Technology, Pukyong National University, Busan 48513, Republic of Korea

4. Department of Global Trade, Dongguk University-Seoul, Seoul 04620, 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.

Funder

National Social Science Foundation of China

Social science foundation of Xuzhou

Publisher

MDPI AG

Link

https://www.mdpi.com/2071-1050/16/11/4842/pdf

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