{"title":"基于前瞻地平线的互联混合动力汽车能量优化","authors":"Fuguo Xu, T. Shen","doi":"10.1109/CAVS51000.2020.9334621","DOIUrl":null,"url":null,"abstract":"This paper developed a look-ahead horizon based optimal control scheme to jointly improve the efficiencies of powertrain and vehicle for hybrid electric vehicles (HEVs) with connectivity and automated driving. Both a speed planning strategy and energy management strategy is provided by the proposed approach. A constrained optimal control problem is formulated to minimize the fuel consumption and the electricity consumption under the satisfaction of inter-distance between ego vehicle and preceding vehicle. The optimal solution is derived through the Pontryagins maximum principle and verified in a traffic-in-the-loop powertrain simulation platform to show the effectiveness of the proposed approach.","PeriodicalId":409507,"journal":{"name":"2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Look-ahead Horizon based Energy Optimization for Connected Hybrid Electric Vehicles\",\"authors\":\"Fuguo Xu, T. Shen\",\"doi\":\"10.1109/CAVS51000.2020.9334621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper developed a look-ahead horizon based optimal control scheme to jointly improve the efficiencies of powertrain and vehicle for hybrid electric vehicles (HEVs) with connectivity and automated driving. Both a speed planning strategy and energy management strategy is provided by the proposed approach. A constrained optimal control problem is formulated to minimize the fuel consumption and the electricity consumption under the satisfaction of inter-distance between ego vehicle and preceding vehicle. The optimal solution is derived through the Pontryagins maximum principle and verified in a traffic-in-the-loop powertrain simulation platform to show the effectiveness of the proposed approach.\",\"PeriodicalId\":409507,\"journal\":{\"name\":\"2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAVS51000.2020.9334621\",\"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 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAVS51000.2020.9334621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Look-ahead Horizon based Energy Optimization for Connected Hybrid Electric Vehicles
This paper developed a look-ahead horizon based optimal control scheme to jointly improve the efficiencies of powertrain and vehicle for hybrid electric vehicles (HEVs) with connectivity and automated driving. Both a speed planning strategy and energy management strategy is provided by the proposed approach. A constrained optimal control problem is formulated to minimize the fuel consumption and the electricity consumption under the satisfaction of inter-distance between ego vehicle and preceding vehicle. The optimal solution is derived through the Pontryagins maximum principle and verified in a traffic-in-the-loop powertrain simulation platform to show the effectiveness of the proposed approach.