Integrated optimal control of transmission ratio and power split ratio for a CVT-based plug-in hybrid electric vehicle
This study proposes a modeling method for optimal real-time control of a continuously variable transmission (CVT)-based plug-in hybrid electric vehicle (PHEV), which is designed to solve a highly coupled nonlinear optimization problem namely the control of the transmission ratio (TR) and the power s...
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Published in | Mechanism and machine theory Vol. 136; pp. 52 - 71 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
01.06.2019
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Abstract | This study proposes a modeling method for optimal real-time control of a continuously variable transmission (CVT)-based plug-in hybrid electric vehicle (PHEV), which is designed to solve a highly coupled nonlinear optimization problem namely the control of the transmission ratio (TR) and the power split ratio (PSR). Power transmission and power consumption models were first established by carefully introducing convex approximations and relaxations of the powertrain components. Then, the minimum equivalent fuel consumption problem was formulated and converted to a standard convex quadratic programming (QP) problem. Based on the QP modeling method, the equivalent consumption minimization strategy (ECMS) was proposed and verified by hardware-in-the-loop tests, computational efficiency simulations, and performance simulations. The results obtained indicated that the computational efficiency and effectiveness of the QP-based modeling method are high enough to be applied to real-world vehicle controllers, and the fuel economy can be improved significantly as compared to an ECMS without integrated optimization. It was concluded that the QP-based modeling method has high practical value and broad prospects for application to real-time optimal control. |
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AbstractList | This study proposes a modeling method for optimal real-time control of a continuously variable transmission (CVT)-based plug-in hybrid electric vehicle (PHEV), which is designed to solve a highly coupled nonlinear optimization problem namely the control of the transmission ratio (TR) and the power split ratio (PSR). Power transmission and power consumption models were first established by carefully introducing convex approximations and relaxations of the powertrain components. Then, the minimum equivalent fuel consumption problem was formulated and converted to a standard convex quadratic programming (QP) problem. Based on the QP modeling method, the equivalent consumption minimization strategy (ECMS) was proposed and verified by hardware-in-the-loop tests, computational efficiency simulations, and performance simulations. The results obtained indicated that the computational efficiency and effectiveness of the QP-based modeling method are high enough to be applied to real-world vehicle controllers, and the fuel economy can be improved significantly as compared to an ECMS without integrated optimization. It was concluded that the QP-based modeling method has high practical value and broad prospects for application to real-time optimal control. |
Author | Yao, Mingyao Zhou, Xingyu Zeng, Yuping Zhan, Sen Qin, Datong |
Author_xml | – sequence: 1 givenname: Mingyao surname: Yao fullname: Yao, Mingyao organization: State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China – sequence: 2 givenname: Datong orcidid: 0000-0003-3104-6207 surname: Qin fullname: Qin, Datong email: dtqin@cqu.edu.cn organization: State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China – sequence: 3 givenname: Xingyu surname: Zhou fullname: Zhou, Xingyu organization: State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China – sequence: 4 givenname: Sen surname: Zhan fullname: Zhan, Sen organization: New Energy and Power Research Institute, Chongqing Changan Automobile Co., Ltd., Chongqing 401120, China – sequence: 5 givenname: Yuping surname: Zeng fullname: Zeng, Yuping organization: Key Laboratory of Precision Driving and Control of Jiangxi Province, Nanchang Institute of Technology, Nanchang 330029, China |
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Keywords | Gearshift Real-time optimal control Hybrid electric vehicle Convex optimization Energy management Power split |
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SubjectTerms | Convex optimization Energy management Gearshift Hybrid electric vehicle Power split Real-time optimal control |
Title | Integrated optimal control of transmission ratio and power split ratio for a CVT-based plug-in hybrid electric vehicle |
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