一种燃料电池汽车噪声源识别方法  

Study on Method of Noise Source Identification in Fuel Cell Vehicles

作　　者：左曙光[1] 郭伟[1] 李徐钢[1] 

机构地区：[1]同济大学汽车学院,上海201804

出　　处：《同济大学学报（自然科学版）》2010年第6期885-889,共5页Journal of Tongji University:Natural Science

基　　金：国家"八六三"高技术研究发展计划资助项目(2008AA501000);上海市曙光计划资助项目(08SG22)

摘　　要：依据小波包变换,结合欧氏空间理论,探索在非稳态工况下识别噪声源的方法.以燃料电池汽车风机从1 000 r.min-1到3 800 r.min-1加速工况为例,通过识别车内外主要噪声源,以及驾驶员座椅处的主要振源,论证该方法在识别非稳态工况下主要噪声源是有效的,从而可对汽车非稳态工况(如加速工况、减速工况等)发出的非平稳噪声信号进行分析并识别出主要源头.Based on wavelet packet transformation（WPT）and Euclidean space theory,a method was explored to identify noise source under the non-stationary conditions.Taken the condition that the fans in fuel cell vehicle（FCV）accelerated from 1000rpm to 3800rpm as example,this method was introduced and proved to be effective by identifying the main noise source both inside and outside of FCV,and the main vibration source in the position of front seat.So it can be applied in indentifying the main noise source in automotive un-stationary conditons such as acceleration conditions,deceleration conditions,and so on.

关 键 词：噪声源识别 小波分析及小波包变换 非稳态工况 燃料电池汽车 

分 类 号：TB535[理学—物理]