Quang Bui Dang, An Vu Dinh, Thanh Vo-Duy, M. C. Ta
{"title":"An Energy Management System Based on Fuzzy-LPF for HESS of Electric Vehicles","authors":"Quang Bui Dang, An Vu Dinh, Thanh Vo-Duy, M. C. Ta","doi":"10.1109/VPPC46532.2019.8952515","DOIUrl":null,"url":null,"abstract":"The variety of electric vehicle power configurations requires a streamlined and practical energy control strategy. However, many controllers use too complex control methods or only solve a part of the problem. The goals of these studies include increasing the distance and increasing the life cycle of the battery. These two conditions normally be at opposite poles, it is difficult to satisfy both. In this paper, a fuzzy controller combined with a low-pass filter is proposed to find a good point between the two criteria above. The proposal provides an effective and feasible control strategy for applying to the real-time system.","PeriodicalId":347650,"journal":{"name":"2019 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Vehicle Power and Propulsion Conference (VPPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC46532.2019.8952515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The variety of electric vehicle power configurations requires a streamlined and practical energy control strategy. However, many controllers use too complex control methods or only solve a part of the problem. The goals of these studies include increasing the distance and increasing the life cycle of the battery. These two conditions normally be at opposite poles, it is difficult to satisfy both. In this paper, a fuzzy controller combined with a low-pass filter is proposed to find a good point between the two criteria above. The proposal provides an effective and feasible control strategy for applying to the real-time system.