| 车内声品质主观评价模型及中频噪声优化 |
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| 引用本文： | 张勇,孟天,王坤祥,韩晨扬,杨鄂川.车内声品质主观评价模型及中频噪声优化[J].汽车工程,2020,42(5):651-657,664. |
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| 作者姓名： | 张勇 孟天 王坤祥 韩晨扬 杨鄂川 |
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| 作者单位： | 重庆理工大学车辆工程学院,重庆 400054;重庆理工大学,汽车零部件先进制造技术教育部重点实验室,重庆 400054;重庆市车辆检测研究院有限公司,重庆 400054;重庆理工大学车辆工程学院,重庆 400054 |
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| 基金项目： | 重庆市教育委员会科学技术研究项目(KJ1600911);重庆市科委基础研究与前沿资助项目(cstc2015jcyjA60010,cstc2018jcyjAX0092);重庆市巴南区科技计划项目(2019TJ09)资助。 |
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| 摘 要： | 为研究特种车车内声品质,对3辆不同类型特种车进行实车道路实验,建立了主观评价烦躁度和声品质客观参数之间的Kriging模型,通过滤波分析得到不同频段声品质参数对主观评价结果的影响。建立了混合FE-SEA模型,以计算车内中频噪声,并与实验数据进行对比,验证模型精度。计算了车身主要板件对车内中频噪声的声学贡献度,找到对车内声压贡献较大的板件,并对其进行优化,有效降低了车内中频噪声。
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| 关 键 词： | 声品质 Kriging模型 中频噪声 降噪 |
Subjective Evaluation Model for Interior Sound Quality andOptimization of Medium-frequency Noise |
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| Zhang Yong,Meng Tian,Wang Kunxiang,Han Chenyang,Yang Echuan.Subjective Evaluation Model for Interior Sound Quality andOptimization of Medium-frequency Noise[J].Automotive Engineering,2020,42(5):651-657,664. |
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| Authors: | Zhang Yong Meng Tian Wang Kunxiang Han Chenyang Yang Echuan |
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| Institution: | (College of Vehicle Engineering, Chongqing University of Technology, Chongqing 400054;Chongqing University of Technology, Key Laboratory of Advanced Manufacturing Technology for Automotive Components, Ministry of Education,Chongqing 400054;Chongqing Vehicle Test and Research Institute Co., Ltd., Chongqing 400054) |
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| Abstract: | In order to study the interior sound quality of special vehicles,the road tests of three different types of special vehicles are carried out,a Kriging model is established,describing the relation between subjective rating of annoyance and objective parameters of sound quality,and the effects of the objective parameters of sound quality on subjective evaluation results in different frequency bands are obtained by filtering analysis.A hybrid FE-SEA model is set up to calculate the interior medium-frequency noises,which are then compared with test data to verify model accuracy.The acoustic contribution of key panels to interior medium-frequency noises are calculated,based on which panels with larger contribution are found and optimized,thus the interior medium-frequency noises are effectively reduced. |
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| Keywords: | sound quality Kriging model medium-frequency noise noise reduction |
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