摘要
提出一种基于通勤行为的电动汽车充电站选址模型,该模型考虑了电动汽车初始电量的分布和出行者的里程焦虑程度.同时还给出了模型求解算法,并通过算例路网验证了模型的有效性.研究结果表明,由模型求得充电站设置节点较为集中,即该模型有较强的稳定性;基于往返出行链的电动汽车充电站选址模型虽然会增大路网总出行时间,但是可以有效避免返程出行失败的情况;出行者的里程焦虑程度对充电站选址影响较大,且对路网总出行时间存在明显的影响.
An Electric Vehicle（EV）charging station location model based on commuting behavior is presented in this study,considering both the distribution of the remaining fuel range of EVs and travelers＇ degree of range anxiety.Solution algorithm is also given and model validation is conducted through a numerical road network.Result shows that the calculated setting nodes of charging stations are relatively concentrated,that is,the model has a virtue of strong stability.The model can effectively avoid the failure of return trip case in spite of increasing the network total travel time.Travelers＇ range anxiety degree has significant effects on charging station location and the network total travel time.
出处
《武汉理工大学学报（交通科学与工程版）》
2016年第2期233-237,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目(51278087
51378091)
辽宁省教育厅科学研究一般项目(L2012026)资助
关键词
城市交通
充电站选址模型
通勤行为
电动汽车
里程焦虑
urban traffic
charging stations location model
commuting behavior
Electric Vehicle（EV）
range anxiety
