Development of Electric Vehicle Charging Corridor for South Carolina  

作　　者：Shengyin Li Yongxi Huang 

机构地区：[1]Glenn,Department of Civil Engineering,Clemson University,Clemson,SC 29634 [2]Assistant Professor,1864-656-3661 Glenn Department of Civil Engineering Clemson University,Clemson SC 29634

出　　处：《International Journal of Transportation Science and Technology》2015年第4期395-411,共17页交通科学与技术(英文)

摘　　要：We apply a flow-based location model,called Multipath Refueling Location Model(MPRLM),to develop an electric vehicle(BV)public charging infrastructure network for enabling long-haul inter-city EY trips.The model considers multiple deviation paths between every origin-destination(O-D)pairs and relaxes the commonly adopted assumption that travelers only take a shortest path between O-D pairs.This model is a mixed-integer linear program,which is intrinsically difficult to solve.With greedy-adding based heuristics,the MPRLM is applied to optimally deploy EV fast charging stations along major highway corridors in South Carolina.Compared to engineering methods,the optimization model reduces the capital cost of establishing a fast charging network by two thirds.We also explore the interplay between the spatial distributions of cities,vehicle range,and routing deviation tolerance as well as their impacts on the locational strategies.

关 键 词：Electric vehicle Charging station Combinatorial optimization HEURISTICS 

分 类 号：TN9[电子电信—信息与通信工程]