Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain
文献类型：期刊论文
| 作者 | Lv, Chen1,2; Liu, Yahui3 ; Hu, Xiaosong1; Guo, Hongyan1; Cao, Dongpu1; Wang, Fei-Yue4
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| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
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| 出版日期 | 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 |
| WOS记录号 | WOS:000439363600012 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.ia.ac.cn/handle/173211/26321]  |
| 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 | 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. |
入库方式： OAI收割
来源：自动化研究所
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