A joint model of infrastructure planning and smart charging strategies for shared electric vehicles  

作　　者：Junbei Liu Xiong Yang Chengxiang Zhuge 

机构地区：[1]Department of Land Surveying and Geo-Informatics,The Hong Kong Polytechnic University,Hung Hom,Kowloon,Hong Kong,China [2]The Hong Kong Polytechnic University Shenzhen Research Institute,Shenzhen,China [3]Smart Cities Research Institute,The Hong Kong Polytechnic University,Hong Kong,China

出　　处：《Green Energy and Intelligent Transportation》2024年第4期44-58,共15页新能源与智能载运（英文）

基　　金：National Natural Science Foundation of China(52002345);Public Policy Research Funding Scheme of The Government of the Hong Kong Special Administrative Region(Project Number:2023.A6.232.23B);Hong Kong Polytechnic University[P0013893;P0038213;P0041230].

摘　　要：This paper presents a data-driven joint model designed to simultaneously deploy and operate infrastructure for shared electric vehicles(SEVs).The model takes into account two prevalent smart charging strategies:the Time-of-Use(TOU)tariff and Vehicle-to-Grid(V2G)technology.We specifically quantify infrastructural demand and simulate the travel and charging behaviors of SEV users,utilizing spatiotemporal and behavioral data extracted from a SEV trajectory dataset.Our findings indicate that the most cost-effective strategy is to deploy slow chargers exclusively at rental stations.For SEV operators,the use of TOU and V2G strategies could potentially reduce charging costs by 17.93%and 34.97%respectively.In the scenarios with V2G applied,the average discharging demand is 2.15kWh per day per SEV,which accounts for 42.02%of the actual average charging demand of SEVs.These findings are anticipated to provide valuable insights for SEV operators and electricity companies in their infrastructure investment decisions and policy formulation.

关 键 词：Electric carsharing Charging infrastructure Smart charging Big data MICRO-SIMULATION 

分 类 号：U491.8[交通运输工程—交通运输规划与管理]