Multi-channel Active Vibration Control Strategy for Series-parallel Hybrid Electric Vehicle Based on Notch FxLMS Algorithm

The series-parallel hybrid powertrain combines the characteristics of series and parallel hybrid configurations, and its engine and motor are connected through a power coupling mechanism. It can provide power to the wheels independently or jointly, resulting in excellent fuel economy. However, the mechanical connection between the engine and transmission system in series-parallel hybrid vehicle often leads to poor NVH (noise, vibration and harshness) performance. To address this issue, this paper proposes an active vibration control strategy. First, the configuration and various operating modes of series-parallel hybrid vehicle are introduced, a torsional dynamics model and an engine fluctuating torque model are established, and the relationship between system torsional vibration response frequency and engine speed is analyzed. Subsequently, an adaptive multi-channel active vibration control strategy based on the notch filtered-x least mean square (FxLMS) algorithm is proposed. The proposed strategy is to use the motors as actuators to achieve the compensation for the torsional vibration at target points by adaptively adjusting the weight matrix. In order to improve the control accuracy, the multiple secondary paths in the series-parallel system is identified offline using finite impulse response (FIR) filters. The simulated results demonstrate that the proposed active vibration control strategy shows excellent effectiveness and stability. The strategy is used to improve the ride comfort of vehicle, extend the service life of components, and enhance the NVH performance of the entire vehicle.