应用偏相干分析识别混合动力汽车车内噪声源  

Application of Partial Coherence Analysis to Internal Noise Source Identification for Hybrid Electric Vehicles

作　　者：蓝云翔 左言言[1] LAN Yunxiang;ZUO Yanyan(Institute of Noise and Vibration,Jiangsu University,Zhenjiang 212013,Jiangsu China)

机构地区：[1]江苏大学噪声振动研究所

出　　处：《噪声与振动控制》2019年第6期89-94,共6页Noise and Vibration Control

基　　金：国家自然科学基金资助项目(51575238)

摘　　要：针对某混合动力汽车的噪声问题,建立基于偏相干函数法分析混合动力汽车噪声源的声源识别模型,并运用MATLAB相关功能进行偏相干函数计算。进行实车道路试验,在某混合动力汽车的发动机、电动机、耦合机构、排气系统及左后轮胎处布置5个测点,并对比分析3种驱动模式下车内噪声分布特征。通过对各个噪声源的偏相干分析,识别出不同工况下对车内声场贡献较大的噪声源。结果表明,耦合机构为该混合动力汽车在中高频段的主要噪声源,这可为该车的降噪提供理论依据。The noise problem of hybrid electric vehicles(HEV)was studied.The acoustic source recognition model of the HEV was established with partial coherence function method.At the same time,the computation program of the partial coherence function was compiled with MATLAB code.In the vehicle road tests,five measurement points were arranged in the engine,motor,coupling mechanism,exhaust system and left rear tire of the HEV respectively,and the characteristics of internal noise distribution in the HEV vehicle under three driving modes were analyzed and mutually compared.Based on the partial coherence analysis of each noise source,the main noise sources which have larger contribution to the internal noise were identified.The analytical results show that the coupling mechanism is the main noise source of the HEV in the middle and high frequency bands under mixed driving conditions.This study provides a theoretical basis for the noise reduc-tion of the HEV.

关 键 词：声学 混合动力汽车 偏相干函数法 噪声源识别 多输入单输出 

分 类 号：U467.4[机械工程—车辆工程]