Research on Behavior Characteristics of Charging User of Electric Vehicles

摘要：

　　It is difficult to find the characteristics of electric vehicle users through charging transaction data.However,these characteristics are very important for charging station operators to improve the service quality of their operation and maintenance.This paper uses the K-means clustering model to study the transaction data of the charging stations in northern Hebei from October 2016 to September 2017.It finds three types of users: high-speed primary users,high-speed secondary users,and urban users; Based on this,four types of users are further drilled out: play users,cross-city office users,pass users,and urban residents users.Based on these user characteristics,corresponding operational strategies,charging station planning and construction suggestions are proposed.

作者: Xu Xin Fu Jun Sun Zhijie Li Xuemei

作者单位: State Grid Jibei Electric Power Co.,Ltd.Electric Power Research Institute,North China Electric Power Research Institute Co.,Ltd.,Beijing100045

会议类型: 国际会议

会议名称: 2018年建筑、航空与环境工程国际学术论坛-物联网(IFCAE-IOT 2018)2018 International Forum on Construction, Aviation and Environmental Engineering-Internet of Things(IFCAE-IOT 2018)

会议地点: 广州

会议语种:英文

页码: 1-4

在线出版日期: 2018-05-11（万方平台首次上网日期，不代表论文的发表时间）