{"title":"A supervisory control of a fuel free electric vehicle for green environment","authors":"C. Chellaswamy, R. Ramesh, C. Rau","doi":"10.1109/ICETEEEM.2012.6494523","DOIUrl":null,"url":null,"abstract":"This paper introduces a fuzzy logic based fuel free electric vehicle (FFEV) combine with drive train for power generation and energy storage devices. The fuzzy controller is integrated among generator, power converter and energy storage devices. The control strategy is designed and tested without compromising the efficiency and performance of the overall system. The proposed system contains two turbines with an alternator, in which one is used for charging the auxiliary battery banks and the other is used for charging the HV battery banks and also drive the motor directly if the speed exceeds forty kilometers. The paper is mainly focused on the automatic charging of vehicle and energy management algorithm. Compared with other vehicle technology the FFEV presented in this paper overcome the future fuel crisis and environmental problems. The comparison result shows that the electric vehicles eliminate total diesel exhaust and help for future healthy generation.","PeriodicalId":213443,"journal":{"name":"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETEEEM.2012.6494523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper introduces a fuzzy logic based fuel free electric vehicle (FFEV) combine with drive train for power generation and energy storage devices. The fuzzy controller is integrated among generator, power converter and energy storage devices. The control strategy is designed and tested without compromising the efficiency and performance of the overall system. The proposed system contains two turbines with an alternator, in which one is used for charging the auxiliary battery banks and the other is used for charging the HV battery banks and also drive the motor directly if the speed exceeds forty kilometers. The paper is mainly focused on the automatic charging of vehicle and energy management algorithm. Compared with other vehicle technology the FFEV presented in this paper overcome the future fuel crisis and environmental problems. The comparison result shows that the electric vehicles eliminate total diesel exhaust and help for future healthy generation.