汽车工程

汽车工程 ›› 2020, Vol. 42 ›› Issue (9): 1206-1210.doi: 10.19562/j.chinasae.qcgc.2020.09.009

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用于汽车车内风噪评价的频谱光顺度研究*

沈哲1,2,3, 王毅刚2,3, 杨志刚2,3,4, 贺银芝2,3, 彭里奇2,3   

  1. 1.同济大学机械工程博士后流动站,上海 201804;
    2.同济大学上海地面交通工具风洞中心,上海 201804;
    3.上海市地面交通工具空气动力与热环境模拟重点实验室,上海 201804;
    4.北京民用飞机技术研究中心,北京 102211
  • 出版日期:2020-09-25 发布日期:2020-10-19
  • 通讯作者: 王毅刚,教授,博士,E-mail:yigang.wang@sawtc.com
  • 基金资助:
    *上海市重点实验室项目(18DZ2273300)资助。

Study on Spectrum Smoothness for Vehicle Interior Wind Noise Evaluation

Shen Zhe1,2,3, Wang Yigang2,3, Yang Zhigang2,3,4, He Yinzhi2,3, Peng Liqi2,3   

  1. 1. Postdoctoral Station of Mechanical Engineering, Tongji University, Shanghai 201804;
    2. Shanghai Automotive Wind Tunnel Center, Tongji University, Shanghai 201804;
    3. Shanghai Key Lab of Vehicle Aerodynamics and Vehicle Thermal Management Systems, Shanghai 201804;
    4. Beijing Aeronautical Science & Technology Research Institute, Beijing 102211
  • Online:2020-09-25 Published:2020-10-19

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摘要： 现有评价汽车车内风噪的指标仅能反映各个频率成分的宏观计权,缺乏对频谱局部问题的判断,需加以完善。通过分析23辆不同量产汽车的风洞试验数据,证明车型等级与车内风噪性能呈正相关,并总结较优样本的频谱规律。频谱中高频段较窄范围内不光顺现象产生的主要原因是泄漏噪声,应尽量避免。提出将作移动平均后的频谱与原始频谱差值进行累加得到频谱不光顺程度量化指标的方法。结果表明,频谱光顺度与车内风噪性能密切相关,对泄漏噪声尤为敏感,可用于车内风噪水平的评价。

关键词: 风噪, 评价方法, 频谱分析, 泄漏噪声

Abstract: While the existing evaluation index for vehicle interior wind noise can only reflect macro-weighting of each frequency component with a lack of judgment on partial spectrum problems, it needs to be perfected. By analyzing wind tunnel test data of 23 different mass-produced vehicles, the positive correlation between vehicle type grade and interior wind noise performance is verified,and the spectrum regularity of superior samples is summarized. The results illustrate that leak noise is the main cause of roughness in narrow-range of medium-high frequency band, which should be avoided as far as possible. By adding up the difference between the moving-average spectrum and original spectrum, a method to obtain the quantitative index of spectral roughness is proposed. The results show that spectrum smoothness is closely related to interior wind noise performance and especially sensitive to leak noise, which can be used to evaluate the vehicle interior wind noise level

Key words: wind noise, evaluation method, spectrum analysis, leak noise