Abstract: To address the problem that the sound pressure levels cannot fully reflect the human ear’s perception of the sound, this paper selects various working conditions to evaluate objective psychological parameters of the highfrequency sideband noise of electric vehicle drive motor. Firstly, the acoustic sample database is established by performing the drive-motor noise data acquisition experiments. Secondly, the objective psychological parameters are calculated, and their contributions are analyzed by using principal component analysis（PCA）. Six dimensions of the objective psychological covariates are hence reduced to two dimensions. Finally, the variation patterns of the main objective psychological parameters are investigated under various working conditions. Especially, the objective evaluation with the random carrier frequency pulse width modulation（RCFPWM） strategy is fully compared. The results show that the PCA method can reduce the multidimensional objective psychological parameters and that the main contributions to high-frequency sideband noise are sharpness and loudness. Different working conditions have different impacts on sharpness and loudness, especially by the rotation speeds. RCFPWM can reduce the sound pressure level of high-frequency sideband noise while suppressing the amplitude of sharpness. This paper not only simplifies the process of objective evaluation, but also provides an experimental basis for optimizing the sound quality of electric drive systems.