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基于陷波FxLMS算法的混联式混合动力车辆多通道主动振动控制策略

严琦1,刘辉1,2*,高普1,2,杨殿钊1,焦佳新1   

  1. 1.北京理工大学 机械与车辆学院,北京 100081; 2. 北京理工合肥无人智能装备研究院,安徽 合肥 230041
  • 收稿日期:2024-12-27 修回日期:2025-08-19
  • 基金资助:
    国家自然科学基金项目(52130512、52205086);北京市科技新星计划项目(20230484262);北京理工大学学术启动项目(6120220098)

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

YAN Qi 1, LIU Hui 1,2*, GAO Pu1,2, YANG Dianzhao1, JIAO Jiaxin1   

  1. 1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China; 2. B&H Unmanned Intelligent System Research Institute, Beijing Institute of Technology, Hefei 230041, Anhui, China
  • Received:2024-12-27 Revised:2025-08-19

摘要: 混联式混合动力是一种结合串联式和并联式的混合动力构型,其发动机和电机通过动力耦合机构连接,可以独立或共同地向车轮提供动力,表现出较好的燃油经济性。但是,由于发动机与传动系统之间存在机械连接,其NVH性能往往较差。为了解决这一问题,提出了一种主动振动控制策略。首先,介绍了混联式混合动力车辆的动力传动系统的构型和不同的工作模式,建立系统扭转动力学模型及发动机波动转矩模型,分析系统扭振响应频率和发动机转速之间的关系。然后,提出了基于陷波FxLMS算法的自适应多通道主动振动控制策略。该策略利用电机作为作动器,通过自适应调节权值矩阵实现目标点扭转振动的补偿。此外,为提高控制精度,基于FIR滤波器对混联系统中的多条次级路径进行离线辨识。最后,仿真结果表明,所提出的主动振动控制策略具有良好的有效性和稳定性,提升了车辆的乘坐舒适性,延长了零部件寿命,改善了整车NVH性能。

关键词: 混联式混合动力车辆, 发动机波动转矩, 主动振动控制, 陷波FxLMS算法

Abstract: The series-parallel hybrid powertrain combines the characteristics of series and parallel hybrid configurations, with the engine and motor connected through a power coupling mechanism that 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 vehicles often leads to poor NVH (Noise, Vibration, and Harshness) performance. To address this issue, this paper proposes an active vibration control strategy. Initially, the paper introduces the configuration and various operation modes of the series-parallel hybrid vehicle, establishes a torsional dynamics model and an engine fluctuating torque model, and analyzes the relationship between system torsional vibration response frequency and engine speed. Subsequently, an adaptive multi-channel active vibration control algorithm based on the notch FxLMS algorithm is proposed, utilizing motors as actuators to achieve torsional vibration compensation at target points through adaptive adjustment of the weight matrix. Furthermore, to enhance control accuracy, this paper conducts offline identification of multiple secondary paths in the series-parallel system using FIR filters. Finally, simulation results demonstrate that the proposed active vibration control strategy is effective and stable, improving vehicle ride comfort, extending component life, and enhancing overall vehicle performance.

Key words: series-parallel hybrid electric vehicle, engine fluctuating torque, active vibration control, notch FxLMS algorithm

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