Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles
Shen, Zhen1,2; Luo, Can1; Dong, Xisong1; Lu, Wanze3; Lv, Yisheng1; Xiong, Gang1,4; Wang, Fei-Yue1
发表期刊IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN1524-9050
2022-01-11
页码12
通讯作者Xiong, Gang(gang.xiong@ia.ac.cn)
摘要The number of vehicles is rapidly increasing. An effective control strategy for Hybrid Electric Vehicles (HEVs) is important. In this paper, we present a two-level control strategy that combines the Adaptive-Equivalent Consumption Minimization Strategy (A-ECMS) and the Adaptive Dynamic Programming (ADP). At the lower level, the A-ECMS is used to convert the consumed charge into Equivalent Fuel Consumption (EFC) for every sample moment, and a PI controller is used to adjust the values of the equivalent factor of the A-ECMS. At the upper level, the ADP is used to find the minimum of EFC corresponding to equivalent factor for every sample moment, and it maintains the State of Charge (SOC) of battery to charge and discharge smoothly in a high-efficiency field for the HEV. As by the ADP, we look into the future and then we can have a better estimate for the equivalent factor than the ordinary A-ECMS. In this way, we can save energy as well as calculate instantaneous parameters for the control strategy. Compared with a typical rule-based control strategy, the proposed control method saves EFC up to 10.3% and the stability of the SOC is increased by more than 60%, tested on benchmarks.
关键词Hybrid electric vehicles Fuels Electronic countermeasures Minimization Mechanical power transmission Optimization Energy management Adaptive dynamic programming adaptive-equivalent consumption minimization strategy hybrid electric vehicle energy control
DOI10.1109/TITS.2021.3121550
关键词[WOS]ADAPTIVE CRITIC DESIGNS ; TIME NONLINEAR-SYSTEMS ; MANAGEMENT
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[U19B2029] ; National Natural Science Foundation of China[61773382] ; National Natural Science Foundation of China[61773381] ; National Natural Science Foundation of China[61533019] ; Chinese Guangdong's Science & Technology (S T) Project[2019B1515120030] ; Chinese Guangdong's Science & Technology (S T) Project[2020B0909050001] ; Youth Foundation of the State Key Laboratory for Management and Control of Complex Systems[Y6S9011F1G] ; CIE-Tencent Robotics X Rhino-Bird Focused Research Program[2020-01-005]
项目资助者National Natural Science Foundation of China ; Chinese Guangdong's Science & Technology (S T) Project ; Youth Foundation of the State Key Laboratory for Management and Control of Complex Systems ; CIE-Tencent Robotics X Rhino-Bird Focused Research Program
WOS研究方向Engineering ; Transportation
WOS类目Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号WOS:000745440800001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类人工智能+交通
引用统计
被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/47341
专题多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者Xiong, Gang
作者单位1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
2.Qingdao Acad Intelligent Ind, Intelligent Mfg Ctr, Qingdao 266109, Peoples R China
3.Beijing Univ Technol, Sch Artificial Intelligence & Automat, Beijing 100124, Peoples R China
4.Chinese Acad Sci, Guangdong Engn Res Ctr 3D Printing & Intelligent, Cloud Comp Ctr, Donggguan 523808, Peoples R China
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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Shen, Zhen,Luo, Can,Dong, Xisong,et al. Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2022:12.
APA Shen, Zhen.,Luo, Can.,Dong, Xisong.,Lu, Wanze.,Lv, Yisheng.,...&Wang, Fei-Yue.(2022).Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,12.
MLA Shen, Zhen,et al."Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022):12.
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