When analysing the objective data of drivability evaluation, the data analysis is usually carried out based on the vehicle acceleration G signal, including the characteristic analysis of the signal changing rate with time and the peak value of G signal. Based on the time–frequency analysis method of short-time Fourier Transform, this paper studies the effect of the size setting of different window functions on the conversion of acceleration G signal, and analyses the time–frequency characteristics of acceleration G signal based on different actual driving conditions and different subjective evaluation points, and analyses the applicability of short-term Fourier transform time–frequency analysis method. It also provides an idea for the data analysis of drivability evaluation.

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Study of Data Processing Method for Objective Evaluation of Drivability Based on Time–Frequency Analysis

  • Yujun Zhao,
  • Zebin Wang,
  • Guoyi Xian

摘要

When analysing the objective data of drivability evaluation, the data analysis is usually carried out based on the vehicle acceleration G signal, including the characteristic analysis of the signal changing rate with time and the peak value of G signal. Based on the time–frequency analysis method of short-time Fourier Transform, this paper studies the effect of the size setting of different window functions on the conversion of acceleration G signal, and analyses the time–frequency characteristics of acceleration G signal based on different actual driving conditions and different subjective evaluation points, and analyses the applicability of short-term Fourier transform time–frequency analysis method. It also provides an idea for the data analysis of drivability evaluation.