Adaptive torsional vibration active control for hybrid electric powertrains during start-up based on model prediction

Xing Chen*, Dan Peng, Jibin Hu, Cheng Li, Shuili Zheng, Wenhai Zhang

*此作品的通讯作者

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摘要

Torsional vibration occurs when the hybrid vehicle transmission system is influenced by the multiple excitations and the dynamic loads caused by mode switching. Torsional vibrations of transmission system directly affect the stability, reliability, and safety of vehicles. In order to suppress the torsional vibration, this paper studied the active vibration control algorithm for the hybrid powertrains under rapid acceleration. Primarily, the architecture and the dynamic modeling of the drive system of the hybrid vehicle was built. Moreover, the hybrid control system including engine controller, motor controller and transmission controller was proposed. Furthermore, an adaptive active control controller was constructed to solve the torsional vibration problem. And model prediction control (MPC) and Butterworth filter control were combined into the controller. Finally, the efficacy of this active method for vibration reduction under start-up conditions was simulated. The simulation results showed that the torsional vibration of the transmission system was reduced by 96%–99% with external interference and the system stabilization time was advanced by 93% without external interference. The adaptive control algorithm suggested in this paper effectively suppressed the torsional vibration of hybrid electric vehicles (HEV) when accelerating in pure electric mode, without affecting vehicles’ dynamic performance.

源语言英语
页(从-至)2219-2229
页数11
期刊Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
236
10-11
DOI
出版状态已出版 - 9月 2022

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Chen, X., Peng, D., Hu, J., Li, C., Zheng, S., & Zhang, W. (2022). Adaptive torsional vibration active control for hybrid electric powertrains during start-up based on model prediction. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 236(10-11), 2219-2229. https://doi.org/10.1177/09544070211056176