TY - GEN
T1 - Active Vibration Control Strategy Research for Power-Split Hybrid Electric Vehicles
AU - Yan, Qi
AU - Liu, Hui
AU - Gao, Pu
AU - Yang, Dianzhao
AU - Jiao, Jiaxin
AU - Yan, Keyu
AU - Yang, Yi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - In recent years, the research on Hybrid Electric Vehicles (HEVs) has received widespread attention. The Power Transmission System of hybrid vehicles often exhibits poor vibration performance due to engine torque fluctuations. To address this issue, this paper proposes a multi-channel Active Vibration Control (AVC) strategy based on FxLMS algorithm to compensate for the vibration response caused by engine torque fluctuations by controlling the motor torque of hybrid vehicles. Firstly, a dynamic model of the drivetrain system is established, and the dynamic model is simplified based on sensitivity analysis. Secondly, a multi-channel notch adaptive control strategy based on reinforcement learning is proposed, which updates the parameters of the notch adaptive algorithm through FxLMS algorithm to achieve vibration attenuation of the system. Thirdly, through simulation analysis under different operating conditions, this study confirms the effectiveness and stability of the FxLMS-based AVC algorithm.
AB - In recent years, the research on Hybrid Electric Vehicles (HEVs) has received widespread attention. The Power Transmission System of hybrid vehicles often exhibits poor vibration performance due to engine torque fluctuations. To address this issue, this paper proposes a multi-channel Active Vibration Control (AVC) strategy based on FxLMS algorithm to compensate for the vibration response caused by engine torque fluctuations by controlling the motor torque of hybrid vehicles. Firstly, a dynamic model of the drivetrain system is established, and the dynamic model is simplified based on sensitivity analysis. Secondly, a multi-channel notch adaptive control strategy based on reinforcement learning is proposed, which updates the parameters of the notch adaptive algorithm through FxLMS algorithm to achieve vibration attenuation of the system. Thirdly, through simulation analysis under different operating conditions, this study confirms the effectiveness and stability of the FxLMS-based AVC algorithm.
KW - FxLMS algorithm
KW - Multi-channel active vibration control
KW - Power Transmission System
KW - Power-split hybrid electric vehicles
UR - https://www.scopus.com/pages/publications/105028365245
U2 - 10.1007/978-981-95-3654-2_28
DO - 10.1007/978-981-95-3654-2_28
M3 - Conference contribution
AN - SCOPUS:105028365245
SN - 9789819536535
T3 - Lecture Notes in Mechanical Engineering
SP - 308
EP - 315
BT - Advances in Mechanical Transmission
A2 - Wang, Shuxin
A2 - Qin, Datong
A2 - Liu, Fei
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Mechanical Transmission, ICMT 2025
Y2 - 17 April 2025 through 20 April 2025
ER -