基于数据驱动的电动汽车充电站选址布局研究

Research on Location Layout of Electric Vehicle Charging Station Based on Data-Driven Approach

以数据驱动的方式,首先通过分析北京市87辆私家车3个月的行驶轨迹记录,结合地图信息,对电动汽车充电需求进行量化分析,从而进行科学合理的充电站选址布局。根据每辆车车主的电动汽车使用习惯,提出了一种电动汽车充电概率计算模型,在此基础上利用P中值模型和贪心算法,以距离需求点之和最小为优化目标,得到了一种将电动汽车用户充电需求与充电站选址方法,从备选的56个停车场集合中得到了最为满足充电需求的15个停车场的集合。所用选址方法由真实数据驱动,可以助力未来北京市电动汽车充电基础设施建设。

This paper first analyzes the driving track records of 87 private cars in Beijing in 3 months based on data driven approach,combined with the map information,and conducts a quantitative analysis on the charging demand of electric vehicles,so as to develop a scientific and reasonable layout scheme of charging station location.According to use behaviours of individual EV owners,and a charging probability calculation model for electric vehicle is proposed,based on the utilization of P values in the model and greed take algorithm,as well as the optimization target of minimizing the sum of demand points with distance,therefor the electric car charging user requirements and the method of site selection for charging stations are obtained.From the alternative set of 56 parking lots,the set of 15 parking lots that most meet the charging demand is obtained.The site selection method used in this paper is driven by real data,which can help the future EV charging infrastructure construction in Beijing.