Torsional vibration control for power-split hybrid electric bus based on coordination of multiple excitation sources and clutch actuator

Mode transition can effectively improve the fuel economy of power-split hybrid electric bus (HEB). However, since the engine and motors are combined directly to the power-split device, the inconsistent dynamic characteristics of motors and engine, and delayed response of clutch actuator oil pressure can cause severe speed and torque fluctuations during mode transition. To address this issue, a torsional vibration control for power-split HEB based on coordination of multiple excitation sources and clutch actuator is proposed in this article. Firstly, a powertrain torsional dynamics model is established, and the mode transition process and control problem are analyzed. Then, a torsional vibration control strategy based on hierarchical optimization structure is designed. In the upper layer, the torque commands of the motors and clutch can be calculated by an improved wave superposition method and a fuzzy sliding mode control. In the lower layer, a triple-step nonlinear method is designed to perform the oil pressure tracking control of the clutch actuator. Finally, simulation results demonstrate that the proposed controller can effectively suppress the fluctuations of powertrain speed and torque, and exhibits obvious robustness against uncertain disturbances during mode transition. Moreover, hardware-in-the-loop test shows that the proposed controller is effective in the real-time environment.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2026-04-06
DOI
https://doi.org/10.1177/09544070261436695
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Torsional vibration control for power-split hybrid electric bus based on coordination of multiple excitation sources and clutch actuator

Chaosheng Duan, Qifeng Qian, Ronghui Xiang, Dafeng Song
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Electric and Hybrid Vehicle Technologies
article

Torsional vibration control for power-split hybrid electric bus based on coordination of multiple excitation sources and clutch actuator

Chaosheng Duan, Qifeng Qian, Ronghui Xiang, Dafeng Song
article en

Abstract

Mode transition can effectively improve the fuel economy of power-split hybrid electric bus (HEB). However, since the engine and motors are combined directly to the power-split device, the inconsistent dynamic characteristics of motors and engine, and delayed response of clutch actuator oil pressure can cause severe speed and torque fluctuations during mode transition. To address this issue, a torsional vibration control for power-split HEB based on coordination of multiple excitation sources and clutch actuator is proposed in this article. Firstly, a powertrain torsional dynamics model is established, and the mode transition process and control problem are analyzed. Then, a torsional vibration control strategy based on hierarchical optimization structure is designed. In the upper layer, the torque commands of the motors and clutch can be calculated by an improved wave superposition method and a fuzzy sliding mode control. In the lower layer, a triple-step nonlinear method is designed to perform the oil pressure tracking control of the clutch actuator. Finally, simulation results demonstrate that the proposed controller can effectively suppress the fluctuations of powertrain speed and torque, and exhibits obvious robustness against uncertain disturbances during mode transition. Moreover, hardware-in-the-loop test shows that the proposed controller is effective in the real-time environment.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Jilin University (CN), State Key Laboratory of Automotive Simulation and Control
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 22%
Electric and Hybrid Vehicle Technologies
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