基于纵向频响特性的整车质量估计

Vehicle mass estimation based on longitudinal frequency response characteristics

为了能够实现对不同车辆质量的通用型估计,提出了一种基于纵向频响特性的整车质量估计方法。该方法通过智能网联汽车普遍获取的纵向加速度和车轮转速信息,基于车辆纵向动力学模型,推导出加速度与轮速信号间的幅频函数关系,并求取在不同频率下车辆质心处加速度与轮速之间的幅值比,进而通过最小二乘法拟合得到整车质量。CarSim-Simulink联合仿真结果表明:本文的整车质量估计方法精度在93.9%以上,可满足多车协同避撞系统车辆控制的要求。

A vehicle mass estimation method based on longitudinal frequency response characteristics is proposed for wide application for different types of vehicles.First the longitudinal acceleration and wheel speed information obtained from intelligent connected vehicle are used to derive the amplitudefrequency function between acceleration and wheel speed signal based the vehicle longitudinal dynamics model.Then,the amplitude ratio of the acceleration of the center of mass to the wheel speed at different frequencies is obtained.Finally the vehicle mass is calculated by least square fitting.The CarSim-Simulink co-simulation results show that the estimation accuracy of the proposed method is above 93.9%,which can meet the requirement of vehicle control for multi-vehicle coordinated collision avoidance system.