A. Parkavi, Aryan Vaidya, C. S. Prakash, Deepthi Peter
{"title":"Electric Vehicle Charging Station Aggregator Application","authors":"A. Parkavi, Aryan Vaidya, C. S. Prakash, Deepthi Peter","doi":"10.1109/ICSTSN57873.2023.10151642","DOIUrl":null,"url":null,"abstract":"India is developing its Electric Vehicle (EV) infrastructure at a record breaking rate, with an estimate of 40% of its vehicles to be electric by 2030. The current gas crisis and emission problems are thought to be effectively solved by EVs. The shift to a cleaner source of energy has been welcomed by many, with governments even offering subsidiaries as a form of encouragement to the general public. This sudden increase has opened up prospects to develop an application which serves the purpose of a charging station aggregator. One of the primary drawbacks of the current charging station architecture is that it is provider-dependent, and therefore EV drivers are not presented with all the possible charging station options. While Google allows users to search for nearest stations, details such as charger type and availability of the station are often incomplete. ‘‘Find Green’’, is a web application which serves as a single spot for EV users to go to for verified listings, which provides them with all the necessary details as well the ability to reserve slots in advance. This in turn helps reduce the range anxiety of countless drivers.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTSN57873.2023.10151642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
India is developing its Electric Vehicle (EV) infrastructure at a record breaking rate, with an estimate of 40% of its vehicles to be electric by 2030. The current gas crisis and emission problems are thought to be effectively solved by EVs. The shift to a cleaner source of energy has been welcomed by many, with governments even offering subsidiaries as a form of encouragement to the general public. This sudden increase has opened up prospects to develop an application which serves the purpose of a charging station aggregator. One of the primary drawbacks of the current charging station architecture is that it is provider-dependent, and therefore EV drivers are not presented with all the possible charging station options. While Google allows users to search for nearest stations, details such as charger type and availability of the station are often incomplete. ‘‘Find Green’’, is a web application which serves as a single spot for EV users to go to for verified listings, which provides them with all the necessary details as well the ability to reserve slots in advance. This in turn helps reduce the range anxiety of countless drivers.