{"title":"An Optimal Charging Station Mapping Strategy for Electric Vehicles Incorporating User Constraints by Fleet Tracking","authors":"Teena Joseph, Damodaran Subramanian","doi":"10.1109/ITEC-India48457.2019.ITECINDIA2019-217","DOIUrl":null,"url":null,"abstract":"Pollution and scarcity of fuel for the traditional engine vehicles facilitated the necessity of electric power driven vehicles which can makes a remarkable reduction on environmental issues persisting in the country. The introduction of EV fleets for transportation can be considered to be the most applicable solution to promote the electric vehicles and its acceptance from the consumer end. So an optimal allocation of the charging station for the electric vehicles based on the distance and duration from the source to destination and cost needed for charging is proposed in this paper. The Integer linear programming is used for the optimal distribution of electric vehicles to the charging stations available. The system with and without optimization is analyzed and results are obtained which infer or recommend optimal charging station for the customer in view of power system limits, stability and economics.","PeriodicalId":316015,"journal":{"name":"2019 IEEE Transportation Electrification Conference (ITEC-India)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Transportation Electrification Conference (ITEC-India)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC-India48457.2019.ITECINDIA2019-217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Pollution and scarcity of fuel for the traditional engine vehicles facilitated the necessity of electric power driven vehicles which can makes a remarkable reduction on environmental issues persisting in the country. The introduction of EV fleets for transportation can be considered to be the most applicable solution to promote the electric vehicles and its acceptance from the consumer end. So an optimal allocation of the charging station for the electric vehicles based on the distance and duration from the source to destination and cost needed for charging is proposed in this paper. The Integer linear programming is used for the optimal distribution of electric vehicles to the charging stations available. The system with and without optimization is analyzed and results are obtained which infer or recommend optimal charging station for the customer in view of power system limits, stability and economics.