中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 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

文献类型：期刊论文

作者Shen, Zhen2,4; Luo, Can2; Dong, Xisong2; Lu, Wanze1; Lv, Yisheng2; Xiong, Gang2,3; Wang, Fei-Yue2
刊名IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
出版日期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
DOI10.1109/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.
WOS关键词ADAPTIVE CRITIC DESIGNS ; TIME NONLINEAR-SYSTEMS ; MANAGEMENT
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研究方向Engineering ; Transportation
语种英语
WOS记录号WOS:000745440800001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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
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.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。