期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：295
期号：4
页码：1-8
DOI：10.1088/1755-1315/295/4/042066
出版社：IOP Publishing
摘要：With the continuous implementation of China's energy conservation and emission reduction policies, the number of electric vehicles in cities is also increasing. In order to ensure the stable and rapid development of the electric vehicle industry, it is necessary to reasonably build electric vehicle charging stations to meet the vehicle charging requirements. Reasonable location and volume can improve the charging convenience of electric vehicle owners and improve the service life of electric vehicle batteries. In this paper, the charging requirements of electric vehicles are divided into three levels. And Markov chain is used to describe the behavioral information such as driving state, parking position, driving mileage and remaining electricity to obtain different charging requirements. The mathematical model is established with the goal of maximum coverage and consideration of factors such as harmonic pollution. In this paper, genetic algorithm is used to find the optimal charging station location.
