Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive Control
The mode transition process from electric mode to hybrid electric mode may cause a deterioration in the comfort of the parallel hybrid electric vehicle. To tackle this issue, a coordinated control strategy considering torsional oscillation of mode transition are developed in this study. First, the p...
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| Format: | Article |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10778560/ |
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| author | Cheng Huang Changqing Du Longjian Li Xiangyu Gongye Yifan Zhao |
| author_facet | Cheng Huang Changqing Du Longjian Li Xiangyu Gongye Yifan Zhao |
| author_sort | Cheng Huang |
| collection | DOAJ |
| description | The mode transition process from electric mode to hybrid electric mode may cause a deterioration in the comfort of the parallel hybrid electric vehicle. To tackle this issue, a coordinated control strategy considering torsional oscillation of mode transition are developed in this study. First, the powertrain topology and powertrain dynamic are introduced to build a model for the transition system, which provides an environmental basis for the subsequent verification of coordinated control strategy. Second, an extended kalman filter is applied to accurately estimate the transmission torque, which is applied as a feedback variable to build a multiple model predictive controller (mMPC), different predictive models are selected according to the clutch state, and the optimal control parameters of the engine, motor and clutch are obtained by solving the quadratic programming problem aimed at comfort, economy and rapidity. Finally, the simulation results and hardware-in-the-loop (HIL) tests show that vehicle jerk are suppressed, and the driving comfort can be improved accordingly. At the same time, the influence of the cost function, the weight coefficient, and the predictive time domain on the torsional vibration suppression effect during the mode transition process are explored in the mMPC strategy design, and the solution time is controlled within 10ms, which meet the real-time requirements. Thus, this study provides a reference for vibration control of the parallel hybrid powertrains. |
| format | Article |
| id | doaj-art-82c1cd6e4ed04cd3b51c2a40eb0b3095 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-82c1cd6e4ed04cd3b51c2a40eb0b30952025-08-20T02:52:59ZengIEEEIEEE Access2169-35362024-01-011219740019741110.1109/ACCESS.2024.351160310778560Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive ControlCheng Huang0https://orcid.org/0000-0001-8465-6813Changqing Du1https://orcid.org/0000-0003-1292-8773Longjian Li2https://orcid.org/0009-0009-3611-9402Xiangyu Gongye3Yifan Zhao4Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, ChinaHubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, ChinaHubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, ChinaHubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, ChinaHubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, ChinaThe mode transition process from electric mode to hybrid electric mode may cause a deterioration in the comfort of the parallel hybrid electric vehicle. To tackle this issue, a coordinated control strategy considering torsional oscillation of mode transition are developed in this study. First, the powertrain topology and powertrain dynamic are introduced to build a model for the transition system, which provides an environmental basis for the subsequent verification of coordinated control strategy. Second, an extended kalman filter is applied to accurately estimate the transmission torque, which is applied as a feedback variable to build a multiple model predictive controller (mMPC), different predictive models are selected according to the clutch state, and the optimal control parameters of the engine, motor and clutch are obtained by solving the quadratic programming problem aimed at comfort, economy and rapidity. Finally, the simulation results and hardware-in-the-loop (HIL) tests show that vehicle jerk are suppressed, and the driving comfort can be improved accordingly. At the same time, the influence of the cost function, the weight coefficient, and the predictive time domain on the torsional vibration suppression effect during the mode transition process are explored in the mMPC strategy design, and the solution time is controlled within 10ms, which meet the real-time requirements. Thus, this study provides a reference for vibration control of the parallel hybrid powertrains.https://ieeexplore.ieee.org/document/10778560/Extended Kalman filtermode transitionmultiple model predictive control (mMPC)parallel hybrid electric vehicle (HEV)torsional vibration |
| spellingShingle | Cheng Huang Changqing Du Longjian Li Xiangyu Gongye Yifan Zhao Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive Control IEEE Access Extended Kalman filter mode transition multiple model predictive control (mMPC) parallel hybrid electric vehicle (HEV) torsional vibration |
| title | Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive Control |
| title_full | Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive Control |
| title_fullStr | Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive Control |
| title_full_unstemmed | Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive Control |
| title_short | Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive Control |
| title_sort | torsional vibration suppression during mode transition process in a parallel hybrid electric vehicle based on multiple model predictive control |
| topic | Extended Kalman filter mode transition multiple model predictive control (mMPC) parallel hybrid electric vehicle (HEV) torsional vibration |
| url | https://ieeexplore.ieee.org/document/10778560/ |
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