{"title":"最优控制理论在HEV动态过程控制中的应用","authors":"Ou Jia-jie, Liang Lifu","doi":"10.1109/ICCSE.2014.6926556","DOIUrl":null,"url":null,"abstract":"The control method for the HEV propulsion system based on the dynamic process is proposed. The optimal control theory module and its application to DPCM are introduced. Based on the theoretical analysis, the simulation results including the HEV driving torque and power, power distribution for the multi-energy-source powertrain, fuel consumption and equivalent fuel consumption, SOC and discharge current of the storage battery are acquired, which help to prove the feasibility and validity of the DPCM advanced by this paper.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of optimal control theory to the HEV dynamic process based control method\",\"authors\":\"Ou Jia-jie, Liang Lifu\",\"doi\":\"10.1109/ICCSE.2014.6926556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The control method for the HEV propulsion system based on the dynamic process is proposed. The optimal control theory module and its application to DPCM are introduced. Based on the theoretical analysis, the simulation results including the HEV driving torque and power, power distribution for the multi-energy-source powertrain, fuel consumption and equivalent fuel consumption, SOC and discharge current of the storage battery are acquired, which help to prove the feasibility and validity of the DPCM advanced by this paper.\",\"PeriodicalId\":275003,\"journal\":{\"name\":\"2014 9th International Conference on Computer Science & Education\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 9th International Conference on Computer Science & Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE.2014.6926556\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 9th International Conference on Computer Science & Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2014.6926556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of optimal control theory to the HEV dynamic process based control method
The control method for the HEV propulsion system based on the dynamic process is proposed. The optimal control theory module and its application to DPCM are introduced. Based on the theoretical analysis, the simulation results including the HEV driving torque and power, power distribution for the multi-energy-source powertrain, fuel consumption and equivalent fuel consumption, SOC and discharge current of the storage battery are acquired, which help to prove the feasibility and validity of the DPCM advanced by this paper.
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