Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain

doi:10.1109/TCYB.2017.2738003

	Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain
	Lv, Chen 1,2; Liu, Yahui 3; Hu, Xiaosong 1; Guo, Hongyan 1; Cao, Dongpu 1; Wang, Fei-Yue4
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2018-08-01
卷号	48 期号:8 页码:2357-2367
关键词	Backlash nonlinearity cyber-physical system (CPS) electric powertrain hybrid states simultaneous observation
ISSN号	2168-2267
DOI	10.1109/TCYB.2017.2738003
通讯作者	Cao, Dongpu(d.cao@cranfield.ac.uk)
英文摘要	As a typical cyber-physical system (CPS), electrified vehicle becomes a hot research topic due to its high efficiency and low emissions. In order to develop advanced electric powertrains, accurate estimations of the unmeasurable hybrid states, including discrete backlash nonlinearity and continuous half-shaft torque, are of great importance. In this paper, a novel estimation algorithm for simultaneously identifying the backlash position and half-shaft torque of an electric powertrain is proposed using a hybrid system approach. System models, including the electric powertrain and vehicle dynamics models, are established considering the drivetrain backlash and flexibility, and also calibrated and validated using vehicle road testing data. Based on the developed system models, the powertrain behavior is represented using hybrid automata according to the piecewise affine property of the backlash dynamics. A hybrid-state observer, which is comprised of a discrete-state observer and a continuous-state observer, is designed for the simultaneous estimation of the backlash position and half-shaft torque. In order to guarantee the stability and reachability, the convergence property of the proposed observer is investigated. The proposed observer are validated under highly dynamical transitions of vehicle states. The validation results demonstrates the feasibility and effectiveness of the proposed hybrid-state observer.
WOS关键词	MODEL-PREDICTIVE CONTROL ; AUTOMOTIVE POWERTRAINS ; REGENERATIVE BRAKING ; BACKLASH ; OBSERVERS ; DECELERATION ; PERSPECTIVE ; NETWORKS ; DESIGN ; SPACES
WOS研究方向	Automation & Control Systems ; Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000439363600012
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/26321]
专题	中国科学院自动化研究所
通讯作者	Cao, Dongpu
作者单位	1.Cranfield Univ, Adv Vehicle Engn Ctr, Cranfield MK43 0AL, Beds, England 2.Qingdao Huituo Intelligent Machine Co, Qingdao 266112, Peoples R China 3.Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Lv, Chen,Liu, Yahui,Hu, Xiaosong,et al. Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain[J]. IEEE TRANSACTIONS ON CYBERNETICS,2018,48(8):2357-2367.
APA	Lv, Chen,Liu, Yahui,Hu, Xiaosong,Guo, Hongyan,Cao, Dongpu,&Wang, Fei-Yue.(2018).Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain.IEEE TRANSACTIONS ON CYBERNETICS,48(8),2357-2367.
MLA	Lv, Chen,et al."Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain".IEEE TRANSACTIONS ON CYBERNETICS 48.8(2018):2357-2367.