电驱动总成声品质严重影响新能源汽车舒适性，文章使用人工头采集6 套电驱动总成的噪声样本，邀请代表普通消费者的非声品质专业人员使用成对比较法进行主观评价。采用多元线性回归方法，以人工头双耳信号的平均尖锐度与音调度为自变量、主观评价结果为因变量，拟合电驱动总成声品质预测模型。经检验，模型在声品质相对排序上具有良好预测性，为面向普通消费者感受的电驱动总成声品质快速评估提供一种可行的模型与方法。

The sound quality of the electric powertrain significantly impacts the comfort of new energy vehicles. The article uses an artificial head to collect noise samples from six electric drive assemblies, and invites non-sound-quality professionals representing ordinary consumers to conduct subjective evaluations using the pairwise comparison method. A multiple linear regression approach was adopted to establish a predictive model for the sound quality of the electric powertrain, with the average sharpness and tonality from artificial head as independent variables and subjective evaluation results as the dependent variable. Upon testing, the model shows good predictive ability in relative ranking of sound quality. This study provides a feasible model and method for the rapid assessment of the sound quality of electric powertrains aimed at the experience of ordinary consumers.