{"title":"为使用可再生能源的住宅设计的具有成本效益的电动汽车充电方法","authors":"X. Liang, T. Lie, M. H. Haque","doi":"10.1109/ICCVE.2014.7297542","DOIUrl":null,"url":null,"abstract":"This paper presents a smart and cost effective EV (Electric Vehicle) charging methodology for residential dwellings which have renewable energy sources. The proposed method has many benefits, including reducing peak pressure on the grid, delivering cost savings to the consumer, as well as reducing battery degradation and preventing overcharge, increasing battery lifetime. The performance of the algorithm is verified by conducting simulation studies against running data of a Nissan Altra, which demonstrate that the charging time can be effectively shifted from peak time to off-peak time. The cost savings delivered by the algorithm are compared against data collected in the Beijing electricity market.","PeriodicalId":171304,"journal":{"name":"2014 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A cost-effective EV charging method designed for residential homes with renewable energy\",\"authors\":\"X. Liang, T. Lie, M. H. Haque\",\"doi\":\"10.1109/ICCVE.2014.7297542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a smart and cost effective EV (Electric Vehicle) charging methodology for residential dwellings which have renewable energy sources. The proposed method has many benefits, including reducing peak pressure on the grid, delivering cost savings to the consumer, as well as reducing battery degradation and preventing overcharge, increasing battery lifetime. The performance of the algorithm is verified by conducting simulation studies against running data of a Nissan Altra, which demonstrate that the charging time can be effectively shifted from peak time to off-peak time. The cost savings delivered by the algorithm are compared against data collected in the Beijing electricity market.\",\"PeriodicalId\":171304,\"journal\":{\"name\":\"2014 International Conference on Connected Vehicles and Expo (ICCVE)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Connected Vehicles and Expo (ICCVE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCVE.2014.7297542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Connected Vehicles and Expo (ICCVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVE.2014.7297542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cost-effective EV charging method designed for residential homes with renewable energy
This paper presents a smart and cost effective EV (Electric Vehicle) charging methodology for residential dwellings which have renewable energy sources. The proposed method has many benefits, including reducing peak pressure on the grid, delivering cost savings to the consumer, as well as reducing battery degradation and preventing overcharge, increasing battery lifetime. The performance of the algorithm is verified by conducting simulation studies against running data of a Nissan Altra, which demonstrate that the charging time can be effectively shifted from peak time to off-peak time. The cost savings delivered by the algorithm are compared against data collected in the Beijing electricity market.