着眼于主观烦扰度的混合动力汽车声品质评价方法研究

摘要

A sound quality subjective evaluation is conducted on nine noise samples recorded from a hybrid electric vehicle under different driving conditions by using paired comparison method. Then both regression analysis method and neural fuzzy logic algorithm are adopted to create a subjective annoyance prediction model based on psy-choacoustic parameters. Finally an evaluation standard of sound quality grade is established. The evaluation method proposed can quickly evaluate the sound quality, shorten the development cycle and improve the comfort perform-ance of vehicles.%采用成对比较法对某混合动力汽车在不同行驶工况下录制的9段噪声，进行主观声品质评价。接着分别采用回归分析法和神经模糊逻辑算法建立了基于心理声学参数的主观烦扰度预测模型。最后建立了声品质等级评价标准。所提出的评价方法可实现汽车声品质快速评价，缩短产品开发周期，提高汽车舒适性能。