Layout evaluation for electric vehicle charging pile based on charging frequency

Author:

Cui Xiangke1,Zhang Zhenji1,Liu Fang2,Liu Jingya1

Affiliation:

1. School of Economics and Management, Beijing Jiaotong University, Haidian, China

2. Beijing Capital Metro Co., Ltd, Shunyi, China

Abstract

This study aims to solve the problem of locating charging stations for public electric vehicles. We take into consideration the factors affecting charging station locations including mileage, electric vehicles distribution, and passenger distribution. A Non-deterministic Polynomial model aiming to minimize the total vehicle service distance is developed. We use an agent-based model to simulate the optimized charging station location based on Anylogic. Through a case study of Beijing, we test the model in five situations. The results of one situation show that the existing layout of the charging stations is unreasonable when charging frequency is sharply variant (basic model); this paper optimizes the existing location by improving the constraint for the smallest number of charging stations (improved model); compared with the basic model, the improved model has a shorter response time to passenger demand, shorter service time for passengers but more mileage for electric vehicles.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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