Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles

doi:10.1109/TITS.2021.3121550

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles
	Shen, Zhen 2,4; Luo, Can 2; Dong, Xisong 2; Lu, Wanze 1; Lv, Yisheng 2; Xiong, Gang 2,3; Wang, Fei-Yue 2
刊名	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2022-01-11
页码	12
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
ISSN号	1524-9050
DOI	10.1109/TITS.2021.3121550
通讯作者	Xiong, Gang(gang.xiong@ia.ac.cn)
英文摘要	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.
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]
WOS关键词	ADAPTIVE CRITIC DESIGNS ; TIME NONLINEAR-SYSTEMS ; MANAGEMENT
WOS研究方向	Engineering ; Transportation
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000745440800001
资助机构	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
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/47340]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Xiong, Gang
作者单位	1.Beijing Univ Technol, Sch Artificial Intelligence & Automat, Beijing 100124, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Guangdong Engn Res Ctr 3D Printing & Intelligent, Cloud Comp Ctr, Donggguan 523808, Peoples R China 4.Qingdao Acad Intelligent Ind, Intelligent Mfg Ctr, Qingdao 266109, Peoples R China
推荐引用方式 GB/T 7714	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.