摘要
与传统内燃发动机汽车相比,由于燃料电池车本身的结构特点,以及控制和运转部件的振动特性,使得降低车内噪声成了当务之急。由于燃料电池车的各部件之间的相互影响较大,需要利用偏相干方法进行噪声识别。将偏相干分析应用于M atlab软件编程中,实现了对多个噪声信号独立贡献量的计算分析,得出了车内主要噪声源在不同频段的贡献量以及相互之间的影响程度,从而对燃料电池车的噪声源进行有效的识别。
Compared to the conventional gas engine car , the configuration and the vibration characteristic of fuel cell car lead to the necessity of lowering the internal car noise. Because of great interference among the components of fuel cell car, it needs to identify them by means of partial coherence analysis. This paper apply fundamental theory to programming for partial coherence analysis of multi-input in Matlab. The separated contribution of each input signal to the output in figures was calculated. The main noise sources and interference among the components in different frequency was obtained.
出处
《噪声与振动控制》
CSCD
北大核心
2008年第3期81-84,共4页
Noise and Vibration Control
基金
国家863计划电动汽车重大专项资助(2005AA501000)
2005年度曙光计划项目资助(05SG22)
关键词
振动与波
燃料电池轿车
偏相干分析
噪声源识别
vibration and wave
fuel cell car
partial coherence analysis
noise source identification
