汽车工程

汽车工程 ›› 2020, Vol. 42 ›› Issue (5): 628-635.doi: 10.19562/j.chinasae.qcgc.2020.05.010

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基于声品质贡献因子的发动机悬置优化*

曾发林1, 胡枫2   

  1. 1.江苏大学汽车工程研究院,镇江 212013;
    2.江苏大学汽车与交通工程学院,镇江 212013
  • 出版日期:2020-05-25 发布日期:2020-06-17
  • 通讯作者: 曾发林,副教授,E-mail:jsdxzfl@163.com
  • 基金资助:
    *国家自然科学基金(51575238)资助

Optimization of Engine Mount Based on Sound Quality Contribution Factor

Zeng Falin1, Hu Feng2   

  1. 1.The School of Automotive and Transportation Engineering, Jiangsu University, Zhenjiang 212013;
    2.School of Automotive and Transportation Engineering, Jiangsu University, Zhenjiang 212013
  • Online:2020-05-25 Published:2020-06-17

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摘要： 本文中建立了GA-BP声品质预测模型,引入声品质贡献因子,以期通过传递路径分析更加直观地反映结构噪声传递路径对烦躁度的贡献情况和掩蔽效应对声品质的影响。采用两级优化方案,通过遗传算法确定与目标烦躁度值对应的目标传递函数,并进一步匹配悬置参数。结果表明,基于声品质贡献因子的发动机悬置优化方案可有效地改善车内声品质,降低结构路径对烦躁度的贡献量。

关键词: 发动机悬置, 声品质预测, 传递路径分析, 声品质贡献因子, 遗传算法

Abstract: In this paper, a GA-BP sound quality prediction model is established and a sound quality contribution factor (SQCF) is introduced for more intuitively reflecting the contribution of structural noise transmission path to annoyance and the influence of masking effect on sound quality. Two-level optimization scheme is adopted to determine the target transfer function corresponding to the target annoyance by using genetic algorithm, and the parameters of engine mount are further matched. The results show that the engine mount optimization scheme based on sound quality contribution factor can effectively improve the interior sound quality of the car and reduce the contribution of the structural path to the annoyance caused by noise

Key words: engine mount, sound quality prediction, TPA, sound quality contribution factor, genetic algorithm