{"title":"Intelligent efficiency mapping of a hybrid electric vehicle starter/alternator using fuzzy logic","authors":"R. Sepe, J. Miller, A. R. Gale","doi":"10.1109/DASC.1999.822007","DOIUrl":null,"url":null,"abstract":"This paper characterizes the optimum efficiency operating points of an 8 kW hybrid electric vehicle (HEV) starter/alternator, using a fuzzy logic controller for robust, automatic mapping. Hardware-in-the-simulation-loop techniques are presented to tune the fuzzy controller, and an algorithm to predict optimum starter/alternator operating points is developed. Experimental results show the effectiveness of the fuzzy controller, validate model predictions, and indicate the importance of saturation and temperature in assessing starter/alternator efficiency. Vehicular deployment of such a system could be used to maintain maximum starter/alternator efficiency in the HEV.","PeriodicalId":269139,"journal":{"name":"Gateway to the New Millennium. 18th Digital Avionics Systems Conference. Proceedings (Cat. No.99CH37033)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gateway to the New Millennium. 18th Digital Avionics Systems Conference. Proceedings (Cat. No.99CH37033)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC.1999.822007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
This paper characterizes the optimum efficiency operating points of an 8 kW hybrid electric vehicle (HEV) starter/alternator, using a fuzzy logic controller for robust, automatic mapping. Hardware-in-the-simulation-loop techniques are presented to tune the fuzzy controller, and an algorithm to predict optimum starter/alternator operating points is developed. Experimental results show the effectiveness of the fuzzy controller, validate model predictions, and indicate the importance of saturation and temperature in assessing starter/alternator efficiency. Vehicular deployment of such a system could be used to maintain maximum starter/alternator efficiency in the HEV.
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