汽车车内噪声与车外气动声源的相关性研究  

A Study on the Correlation Between Vehicles Interior Noise and Exterior Aerodynamic Noise Sources

作　　者：贺银芝[1] 董国旭 张涛 王斌[1] 沈哲[1] 

机构地区：[1]同济大学汽车学院,上海201804 [2]汽车噪声振动和安全技术国家重点实验室,重庆401120

出　　处：《汽车工程》2017年第10期1192-1197,共6页Automotive Engineering

基　　金：国家自然科学基金(51575394);汽车噪声振动和安全技术国家重点实验室开放基金课题(NVHSKL-201403)资助

摘　　要：在简单介绍了Beamforming声源识别技术的基本原理和车外气动声源与车内噪声相关性分析的方法之后,在整车气动声学风洞中应用流场外声阵列与车内2个参考麦克风同时进行车内外噪声信号的同步测量,应用频域内声源识别的传统的Beamforming算法和改进的CLEAN-SC算法,识别出了车外的气动噪声源分布,并分析了车外声源与车内噪声的相关性,得出车外噪声源对车内噪声的相对贡献度。结果表明:频域内改进的CLEAN-SC算法可以在很大程度上改善传统Beamforming算法在动态范围和空间分辨率方面的局限性,且算法稳健,使该项技术在风洞内的应用更具实用性。对车内噪声而言,在较多的特征频段,车外后视镜作为声源对车内噪声的贡献度最大。但在一些特征频段,前雨刮和门把手对车内噪声的贡献也不容忽视。Af ter a brief in tro d u c t io n of the basic p r in c ip le of Beamforming noise source id e n t i f ic a t io n tech-nique and the analysis method of correlat ion between exterior aerodynamic noise sources and in te r io r noise of veh i-cle ,a synchronous measurement of exterior and in te r io r noise signals is conducted in a fu l l scale aero-acoustic wind tunnel with the use of an out- of- f low sound array outside vehicle and two reference microphones inside v e h ic le. By applying conventional Beamforming algorithm and modif ied CLEAN-SC algorithm fo r noise source id e n t if ic a t io n in frequency domain,the distr ibut ion of exterior aerodynamic noise sources is id e n t if ie d and the correlat ion between in -terior noise and exterior noise sources are analyzed,w ith the relat ive con tribu t ion of exterior noise sources to in te r io r noise obtained. The results show that the modif ied CLEAN-SC algorithm in frequency domain can relieve the l im i ta -tion in dynamic range and spatial resolution of conventional Beamforming algorithm w ith good robustness, making that technique has more pract icabi l i ty in its ap pl icat io n to w ind tu n n e l. For in te r io r n o is e,exterior rearview m ir ro r as noise source has the most contribut ion in many characteristic frequency b a n d s, w h i le at certain frequency bands the contribution of front wiper and door handle can not be neglected as w e l l.

关 键 词：车内噪声 声源识别 BEAMFORMING 相关性分析 CLEAN-SC 

分 类 号：U467.493[机械工程—车辆工程]