Spatial-temporal Distribution Prediction of Electric Vehicle Charging Load Considering Vehicle-road-station-network Integration

Hongshuo Zhang; Yankai Xu; Xuyang Zeng; Jingpeng Zhu

doi:10.62051/ijmee.v2n1.05

Authors

Hongshuo Zhang
Yankai Xu
Xuyang Zeng
Jingpeng Zhu

DOI:

https://doi.org/10.62051/ijmee.v2n1.05

Keywords:

Electric Vehicle, Charging Load, Prediction Model of Spatial-temporal Distribution

Abstract

Aiming at the problem of inaccurate prediction of spatial-temporal distribution of electric vehicle charging load due to insufficient consideration of vehicle-road-station-network interaction, a prediction model of spatial-temporal distribution of electric vehicle charging load based on gravitation model was proposed. Firstly, considering road network traffic flow and ambient temperature, the relationship between external environment and energy consumption of electric vehicles is analyzed. Secondly, considering the influence of external environmental factors such as temperature on user travel, a travel chain model based on travel intention modification is established. Finally, the selection model of EV charging station based on gravitation model is established. The simulation results show that the proposed model can take into account the interaction of EV, road network, charging station and power grid, and accurately calculate the spatio-temporal distribution of EV charging load, and analyze the characteristics of EV charging demand load in multi-regions.

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