{"title":"能源管理即服务:共享电动汽车车队的移动感知能源管理","authors":"J. Ostermann, Falko Koetter","doi":"10.5220/0005814803400350","DOIUrl":null,"url":null,"abstract":"The combination of sustainable energy generation and transportation is one of the biggest challenges of the 21st century. In this work, an energy management system is presented which provides energy-management-as-a-service for electric vehicle fleet operators. Energy production and price forecasts are integrated with near real-time telematics data from a shared electric vehicle fleet, to optimize charging profiles for multiple charging sites of fleet operators. For this purpose, system architecture and a proper optimization method enabling different charging strategies are introduced. The presented system is finally evaluated by real world model trails and an optimization benchmark.","PeriodicalId":448232,"journal":{"name":"2016 5th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Energy-management-as-a-service: Mobility aware energy management for a shared electric vehicle fleet\",\"authors\":\"J. Ostermann, Falko Koetter\",\"doi\":\"10.5220/0005814803400350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The combination of sustainable energy generation and transportation is one of the biggest challenges of the 21st century. In this work, an energy management system is presented which provides energy-management-as-a-service for electric vehicle fleet operators. Energy production and price forecasts are integrated with near real-time telematics data from a shared electric vehicle fleet, to optimize charging profiles for multiple charging sites of fleet operators. For this purpose, system architecture and a proper optimization method enabling different charging strategies are introduced. The presented system is finally evaluated by real world model trails and an optimization benchmark.\",\"PeriodicalId\":448232,\"journal\":{\"name\":\"2016 5th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0005814803400350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005814803400350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy-management-as-a-service: Mobility aware energy management for a shared electric vehicle fleet
The combination of sustainable energy generation and transportation is one of the biggest challenges of the 21st century. In this work, an energy management system is presented which provides energy-management-as-a-service for electric vehicle fleet operators. Energy production and price forecasts are integrated with near real-time telematics data from a shared electric vehicle fleet, to optimize charging profiles for multiple charging sites of fleet operators. For this purpose, system architecture and a proper optimization method enabling different charging strategies are introduced. The presented system is finally evaluated by real world model trails and an optimization benchmark.