An Optimal Design of Electric Vehicle Charging Piles Based on Time-space Sequence

2nd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Xu, Huifeng^1 ; Cai, Jing^2

North China Electric Power University, Beijing, China^1

Dongfeng Motor Corporation Technical Center, Wuhan, China^2

关键词: Electric vehicle charging;    Investment risks;    Mathematical relationship;    Pile construction;    Urban environments;    Utilization efficiency;    Vehicle manufacturing;    Vehicle operators;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/4/042027/pdf
DOI  :  10.1088/1755-1315/170/4/042027

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In recent years, due to the increasing support from the state and the rapid development of the electric vehicle manufacturing industry, the quantity and quality of electric vehicles have been greatly improved, which has increased the efficiency of the use of clean energy and improved the urban environment. At the same time, the optimization of related supporting services for electric vehicles has also become a hot issue. With the popularization of electric vehicles in major cities such as Beijing and Shanghai, residents' demand for charging piles is increasing. Although many electric vehicle operators put forward the concept of "one vehicle, one vehicle", the use of charging piles still faces many social problems. On the one hand, the number of charging piles is small in some areas, and residents have no electricity; on the other hand, the construction of charging piles in some areas is unreasonable, resulting in low utilization efficiency. This article explores the mathematical relationship between the charging capacity of electric vehicles and the quantity of electric vehicles, the average daily mileage of vehicles, and the energy consumption per unit of mileage, and proposes an optimization plan for electric vehicle charging piles based on time series. "car-pile information base model", to obtain a more optimized AC charging pile construction program, to a certain extent solved the problem of electric vehicle charging. At the same time, a simulation of the program was carried out and the results showed that the program can quickly determine the reasonable number of AC charging piles and reduce investment risks, providing a powerful guarantee for the healthy, rapid and efficient development of electric vehicles.