{"title":"模糊控制在电动汽车智能充电中的应用","authors":"T. Ku, B. Ke, Y. Ke, Chenglin Wen","doi":"10.1109/ICPS.2017.7945097","DOIUrl":null,"url":null,"abstract":"This paper proposed smart charging management for electric vehicles (EVs). According to the battery state-of-charge (SOC), charging period and transformer loading, a smart charging method was designed by using fuzzy theory to control charging station when quickly or slowly charging mode is needed. To verify performance of proposed method, the commercial customers were selected on distribution transformer and considering transformer loading to set charging mode on each charging station to prevent transformer over loading when all of EVs are in charging. Finally, the proposed method can ensure all of EVs are full charge and enhance power quality and efficiency of distribution transformers.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of fuzzy control for smart charging of electric vehicles\",\"authors\":\"T. Ku, B. Ke, Y. Ke, Chenglin Wen\",\"doi\":\"10.1109/ICPS.2017.7945097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposed smart charging management for electric vehicles (EVs). According to the battery state-of-charge (SOC), charging period and transformer loading, a smart charging method was designed by using fuzzy theory to control charging station when quickly or slowly charging mode is needed. To verify performance of proposed method, the commercial customers were selected on distribution transformer and considering transformer loading to set charging mode on each charging station to prevent transformer over loading when all of EVs are in charging. Finally, the proposed method can ensure all of EVs are full charge and enhance power quality and efficiency of distribution transformers.\",\"PeriodicalId\":201563,\"journal\":{\"name\":\"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPS.2017.7945097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPS.2017.7945097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of fuzzy control for smart charging of electric vehicles
This paper proposed smart charging management for electric vehicles (EVs). According to the battery state-of-charge (SOC), charging period and transformer loading, a smart charging method was designed by using fuzzy theory to control charging station when quickly or slowly charging mode is needed. To verify performance of proposed method, the commercial customers were selected on distribution transformer and considering transformer loading to set charging mode on each charging station to prevent transformer over loading when all of EVs are in charging. Finally, the proposed method can ensure all of EVs are full charge and enhance power quality and efficiency of distribution transformers.