Study on EV Charging Infrastructure Planning Based on Charging Behavior (基于充电行为分析的电动汽车充电设施布局规划研究)
Funded by: the Fundamental Research Funds for the Central Universities (中央高校基本科研业务费)
PI: Long Pan
Introduction
Based on an analysis of the charging behavior of EV users, this study investigates the configuration of public charging facilities considering different proportions of private charging facilities, taking into account the usage characteristics of different charging methods. Then, the layout, scale, and charging methods of the charging facilities are determined, taking into account the existing resources, in order to meet the travel demand and charging demand as much as possible. The layout, scale, and charging methods of charging facilities are calculated.
Related Publications
Journal Articles
- Long Pan, Enjian Yao, Don MacKenzie (2019). Modeling EV charging choice considering risk attitudes and attribute non-attendance. Transportation Research Part C: Emerging Technologies, 102(3), 60–72.
- Long Pan, Enjian Yao, Don MacKenzie, Rui Zhang (2019). Environmental Effects of BEV Penetration Considering Traffic Status. Journal of Transportation Engineering, Part A: Systems, 145(11), 1-10. (Selected as Editor’s Choice in Nov. 2019)
Conference Papers
- Long Pan, Enjian Yao, Rui Zhang. A Location Model for Evaluating Demand-Fulfillment Effect of Public and Home Charging Network: A Case Study of Beijing. Transportation Research Board (TRB) 97th Annual Meeting. Washington, D.C., United States, January, 2018