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Data Drive-Charging Behavior of Electric Vehicle Users with Variable Rolesopen access
- Issue Date
- Jun-2024
- Publisher
- MDPI Open Access Publishing
- Keywords
- 5G; charging point; charging behavior; EV
- Citation
- Sustainability, v.16, no.11, pp 1 - 18
- Pages
- 18
- Indexed
- SCIE
SSCI
SCOPUS
- Journal Title
- Sustainability
- Volume
- 16
- Number
- 11
- Start Page
- 1
- End Page
- 18
- ISSN
- 2071-1050
2071-1050
- 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.
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Related Researcher
- Nam, Eun-Young
- College of Future Convergence (Department of Global Trade)