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Journal of Shanghai Jiaotong University(Science) >

2025 , Vol. 30 >Issue 6: 1232 - 1241

DOI: https://doi.org/10.1007/s12204-023-2663-2

Transportation Systems

Electric Vehicle Charging Load Modeling Based on Influence Factor Analysis

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  • 1. Laboratory of Power Electronics and Electric Drive, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China; 2. University of Chinese Academy of Sciences, Beijing 100149, China

Received date: 2023-04-18

  Accepted date: 2023-06-19

  Online published: 2023-10-24

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Abstract

The spatial-temporal distribution of charging loads for electric vehicles is influenced by multiple factors, Nowadays, the accuracy of the forecasts needs to be improved and the completeness of the modeling is relatively lacking. Therefore, this paper proposes a method for modeling the charging load of electric vehicles based on the influence of multiple factors. First, an in-depth analysis of the factors affecting the charging load of electric vehicles was conducted. Then, a model of electric vehicle electricity consumption per unit kilometer was constructed based on the influencing factors. Next, the electric vehicle, the charging station, the traffic network and the grid are modeled separately. In addition, a unified model of vehicle-station-road-network was constructed through the interaction and coupling of information between the models. Finally, the spatial-temporal distribution of electric vehicle charging loads was simulated using real data from a region. The study shows that the model is able to simulate the charging load of electric vehicles more accurately. Different traffic flows and areas have a significant impact on the charging load distribution.

Cite this article

WANG Guojun, WANG Liye, WANG Lifang, LIAO Chenglin . Electric Vehicle Charging Load Modeling Based on Influence Factor Analysis[J]. Journal of Shanghai Jiaotong University(Science), 2025 , 30(6) : 1232 -1241 . DOI: 10.1007/s12204-023-2663-2

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