{"title":"恒车头策略下混合动力汽车排操作的能量管理","authors":"Xinyue Wang, Jiangyan Zhang, Rubo Zhang","doi":"10.1109/CVCI51460.2020.9338605","DOIUrl":null,"url":null,"abstract":"This paper proposes a real-time energy optimization algorithm for hybrid electric vehicles that operates in a platoon using constant headway control strategy. The driving power of a hybrid electric vehicle can be distributed between the electric motor and the combustion engine. The power distribution makes evaluable energy efficient improvement. Combining the control strategy proposed by a classic cooperative adaptive cruise control (CACC) algorithm, an optimal energy management strategy is evaluated for the host vehicle in a platoon. Through the establishment of simulation experiments, the string stability and real-time energy optimization performance of the control system are verified.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy Management of HEV in Platoon Operation with Constant Headway Policy\",\"authors\":\"Xinyue Wang, Jiangyan Zhang, Rubo Zhang\",\"doi\":\"10.1109/CVCI51460.2020.9338605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a real-time energy optimization algorithm for hybrid electric vehicles that operates in a platoon using constant headway control strategy. The driving power of a hybrid electric vehicle can be distributed between the electric motor and the combustion engine. The power distribution makes evaluable energy efficient improvement. Combining the control strategy proposed by a classic cooperative adaptive cruise control (CACC) algorithm, an optimal energy management strategy is evaluated for the host vehicle in a platoon. Through the establishment of simulation experiments, the string stability and real-time energy optimization performance of the control system are verified.\",\"PeriodicalId\":119721,\"journal\":{\"name\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVCI51460.2020.9338605\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVCI51460.2020.9338605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Management of HEV in Platoon Operation with Constant Headway Policy
This paper proposes a real-time energy optimization algorithm for hybrid electric vehicles that operates in a platoon using constant headway control strategy. The driving power of a hybrid electric vehicle can be distributed between the electric motor and the combustion engine. The power distribution makes evaluable energy efficient improvement. Combining the control strategy proposed by a classic cooperative adaptive cruise control (CACC) algorithm, an optimal energy management strategy is evaluated for the host vehicle in a platoon. Through the establishment of simulation experiments, the string stability and real-time energy optimization performance of the control system are verified.