一种新型的轮胎力级联估计方法

Vehicle Tire Forces Estimation Using a Novel Cascade Method

  • 摘要: 为了增强车辆主动安全性和底盘的集成控制,根据干扰输入观测器理论,基于简化的车轮动力学模型设计估计器,对每个轮胎纵向力进行估计. 此外,基于“自行车”模型,利用车辆动力学,在纵向轮胎力估计值的基础上估计轮胎侧向力. 涉及到的车载传感器测量值包括发动机扭矩和转速、轮缸压力、车轮角速度、方向盘转角、侧向加速度和横摆角速度. 为验证轮胎力级联估计方法的有效性,应用高保真的车辆动力学软件veDYNA进行了仿真研究,并与扩展卡尔曼滤波(extended Kalman filter,EKF)方法作对比分析. 实验结果表明,轮胎力级联估计方法能够获得车辆轮胎力的估计效果.

     

    Abstract: To enhance active vehicle safety and unified chassis control, we present a cascade method that evaluates each of the tire longitudinal forces. This new approach is inspired by the disturbance input observer theory based on a simplified wheel dynamics model. Our cascade method estimates the lateral tire forces by approximatingthe longitudinal tire forces based on a planar bicycle model. The vehicle onboard sensors record engine torque and rotational speed, wheel cylinder pressure, wheel angular speed, steering wheel angle, lateral acceleration and yaw rate measurements. Our method for tire forces is evaluated using simulation experiments in a high-fidelity vehicle dynamics software application, veDYNA. A comparison analysis is done via the extended Kalman filter method. Experimental results reveal the excellent performance of the new cascade method for tire forces estimation.

     

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