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

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

20 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2219-2229
Number of pages11
JournalProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Volume236
Issue number10-11
DOIs
Publication statusPublished - Sept 2022

Keywords

  • Butterworth filter control
  • Torsional vibration
  • adaptive active control
  • hybrid electric vehicle
  • model prediction control

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