汽车工程
汽車工程
기차공정
Automotive Engineering
2015年
11期
1334-1338,1358
,共6页
莫愁%陈吉清%兰凤崇
莫愁%陳吉清%蘭鳳崇
막수%진길청%란봉숭
混合动力汽车%声品质%烦扰度%心理声学参数%神经模糊逻辑算法
混閤動力汽車%聲品質%煩擾度%心理聲學參數%神經模糊邏輯算法
혼합동력기차%성품질%번우도%심리성학삼수%신경모호라집산법
HEV%sound quality%degree of annoyance%psychoacoustic parameters%neural fuzzy logic algorithm
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。
採用成對比較法對某混閤動力汽車在不同行駛工況下錄製的9段譟聲，進行主觀聲品質評價。接著分彆採用迴歸分析法和神經模糊邏輯算法建立瞭基于心理聲學參數的主觀煩擾度預測模型。最後建立瞭聲品質等級評價標準。所提齣的評價方法可實現汽車聲品質快速評價，縮短產品開髮週期，提高汽車舒適性能。
채용성대비교법대모혼합동력기차재불동행사공황하록제적9단조성，진행주관성품질평개。접착분별채용회귀분석법화신경모호라집산법건립료기우심리성학삼수적주관번우도예측모형。최후건립료성품질등급평개표준。소제출적평개방법가실현기차성품질쾌속평개，축단산품개발주기，제고기차서괄성능。
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.
