Optimization of Engine Mount Based on Sound Quality Contribution Factor

被引：0

作者：

Zeng F. ^{[1
,2
]}

Hu F. ^{[2
]}

机构：

[1] The School of Automotive and Transportation Engineering, Jiangsu University, Zhenjiang

[2] School of Automotive and Transportation Engineering, Jiangsu University, Zhenjiang

来源：

Qiche Gongcheng/Automotive Engineering | 2020年 / 42卷 / 05期

关键词：

Engine mount; Genetic algorithm; Sound quality contribution factor; Sound quality prediction; TPA;

D O I：

10.19562/j.chinasae.qcgc.2020.05.010

中图分类号：

学科分类号：

摘要：

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. © 2020, Society of Automotive Engineers of China. All right reserved.

引用

页码：628 / 635and643