动力学试验数据是基于时域的高频采样,而车辆平稳性指标主要考虑低频的影响。为解决利用高频采样数据分析低频的问题,文章提出基于低通滤波,数字滤波和离散傅立叶变换理论,结合动力学平稳性指标评价标准的数据处理方法。试验数据处理结果表明:与数据低通滤波后的计算平稳性指标相比,直接利用高频数据计算平稳性指标的结果基本相同,验证了平稳性指标的采样低频特性。 Kinetic test data is based on time-frequency high-frequency sampling, and vehicle stability indicators mainly consider the impact of low frequency. In order to solve the problem of analyzing low frequency using high-frequency sampling data, the paper proposes a data processing method based on low-pass filtering, digital filtering and discrete Fourier transform theory combined with the evaluation criteria of dynamic stability index. The experimental data processing results show that compared with the data smoothing index after low-pass filtering, the results of using the high-frequency data to calculate the stability index are basically the same, and the sampling low frequency characteristic of the stability index is verified.