Innovation Series: Advanced Science (ISSN 2938-9933)

Volume 2 · Issue 4 (2025)

Research on the Time Distribution Characteristics of Charging Demand in Expressway Service Areas of Sichuan Province, China

 

Shifan Han, Zhan Shu

Sichuan Academy of Transportation Development Strategy and Planning Sciences, Sichuan, China

 

Abstract: In order to optimize the charging infrastructure configuration and operation management of expressway service area, based on the charging data of 167 charging stations in expressway service area in Sichuan Province for 134 days, this paper systematically explores the time distribution characteristics of charging demand by using statistical analysis, K-S test, cluster analysis and other methods. It is found that the overall charging peak is from 12:30 to 16:30, the non-holiday peak is from 12:30 to 14:30, and the holiday peak lasts longer from 12:30 to 16:30. The charging demand law of ordinary working day is consistent with that of weekend, which can be combined into non-holiday data; The charging demand intensity on holidays is 2-3 times of that on non-holidays, and there is a significant difference between them in peak hours and the whole day. The weekly dimension characteristics of charging capacity can be divided into two types: non-holiday flat type and holiday fluctuation type. The research results can provide a scientific basis for the planning, construction and dynamic scheduling of charging facilities.

 

Keywords: Expressway Service Area; Electric Vehicle; Charging Demand; Temporal Distribution Characteristics; Cluster Analysis

 

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