{"title":"基于驱动循环的混合动力汽车主成分分析","authors":"Jianfu Fu, Wenzhong Gao, Liwei Song","doi":"10.1109/VPPC.2009.5289624","DOIUrl":null,"url":null,"abstract":"This paper presents the method of principal component analysis (PCA) to study the characteristics of different drive cycles. The vehicular performance of hybrid electric bus is simulated and then the relationship between different hybridization factors and vehicular fuel economy and dynamic performance is analyzed. The simulation results of fuel economy over different cycles have been obtained in ADVISOR. Using principal component analysis, it can be concluded that three most important principal components can be used as inputs to design an intelligent vehicular control strategy.","PeriodicalId":191216,"journal":{"name":"2009 IEEE Vehicle Power and Propulsion Conference","volume":"521 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Principal component analysis based on drive cycles for hybrid electric vehicle\",\"authors\":\"Jianfu Fu, Wenzhong Gao, Liwei Song\",\"doi\":\"10.1109/VPPC.2009.5289624\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the method of principal component analysis (PCA) to study the characteristics of different drive cycles. The vehicular performance of hybrid electric bus is simulated and then the relationship between different hybridization factors and vehicular fuel economy and dynamic performance is analyzed. The simulation results of fuel economy over different cycles have been obtained in ADVISOR. Using principal component analysis, it can be concluded that three most important principal components can be used as inputs to design an intelligent vehicular control strategy.\",\"PeriodicalId\":191216,\"journal\":{\"name\":\"2009 IEEE Vehicle Power and Propulsion Conference\",\"volume\":\"521 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Vehicle Power and Propulsion Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VPPC.2009.5289624\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Vehicle Power and Propulsion Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC.2009.5289624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Principal component analysis based on drive cycles for hybrid electric vehicle
This paper presents the method of principal component analysis (PCA) to study the characteristics of different drive cycles. The vehicular performance of hybrid electric bus is simulated and then the relationship between different hybridization factors and vehicular fuel economy and dynamic performance is analyzed. The simulation results of fuel economy over different cycles have been obtained in ADVISOR. Using principal component analysis, it can be concluded that three most important principal components can be used as inputs to design an intelligent vehicular control strategy.
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