电动车噪声品质心理声学主客观评价模型

方源 1; 章桐 1; 3; 陈霏霏 1; 2; 郭荣 1; 2

doi:10.7652/xjtuxb201508016

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电动车噪声品质心理声学主客观评价模型

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- 电动车噪声品质心理声学主客观评价模型
- A Subjective and Objective Evaluation Model for Psychoacoustical Quality of Electric Vehicle Noise
- 西安交通大学学报 2015年49卷第8期页码：97-101
- 作者机构：
  
  1. 同济大学新能源汽车工程中心,上海,201804
  2. 同济大学汽车学院,上海,201804
- 作者简介：
- 基金信息：
  
  : 2014-12-27。作者简介: 方源(1989—),男,博士生;章桐(通信作者),男,教授,博士生导师。基金项目: 国家“863计划”资助项目(2011AA11A265);国家自然科学基金资助项目(51205290);中央高校基本科研业务费专项资金资助项目(1700219118)
- DOI：10.7652/xjtuxb201508016
  中图分类号： U463.2
- 网络首发：2015-08-10，
  
  纸质出版：2015
- 稿件说明：
移动端阅览
方源 1, 章桐 1, 3, 等. 电动车噪声品质心理声学主客观评价模型[J]. 西安交通大学学报, 2015,49(8):97-101.

A Subjective and Objective Evaluation Model for Psychoacoustical Quality of Electric Vehicle Noise[J]. 2015, 49(8): 97-101.
方源 1, 章桐 1, 3, 等. 电动车噪声品质心理声学主客观评价模型[J]. 西安交通大学学报, 2015,49(8):97-101. DOI： 10.7652/xjtuxb201508016.

A Subjective and Objective Evaluation Model for Psychoacoustical Quality of Electric Vehicle Noise[J]. 2015, 49(8): 97-101. DOI： 10.7652/xjtuxb201508016.

摘要

以某电动车在匀速行驶时采集到的噪声样本为评价对象

结合人类听觉系统建立适用于电动车的客观评价指标——敏感频带能量比

采用等级评分法对电动车噪声品质焦躁度进行主观评价试验

分析并计算各噪声样本的心理声学客观参数。通过相关分析和回归分析

建立了可描述主观评价与客观参量相关性的焦躁度评价模型。研究结果表明:传统车噪声在低频段能量较为集中

最大值在中心频率为200 Hz的频带

峰值达到37%

而电动车噪声能量集中在中心频率高于1 kHz的频率段上

峰值达到30%; 敏感频带能量比与主观评价值的相关性达到0.958

优于其他心理声学参数; 电动车噪声品质焦躁度主要受粗糙度、抖动度和频带能量比等心理声学客观参数影响。

Abstract

Noises of an electric vehicle(EV)at different speeds are sampled as the evaluation objects. An objective evaluation parameter

sensitive frequency-band energy ratio(SFBER)

is established by combining with the human auditory system characteristics. The subjective evaluation test of sound quality annoyance is carried out by using the grading method. Several objective psychoacoustical parameters are calculated

and for each sample and a subjective evaluation model describing the correlation between subjective annoyance evaluations and psychoacoustical objective parameters is established through analyses of linear correlation and multi linear regression. The results show that the noise energy of traditional cars is concentrated in low frequency band and the maximum reaches 37% when the central frequency is the frequency band of 200 Hz

while the noise energy of electric vehicles is concentrated on the frequency band with its center frequency above 1 kHz and the peak value reaches 30%. The correlation between SFBER and annoyance is 0.958 and is better than the other psychoacoustical parameters. The EV sound quality annoyance is affected mainly by three psychoacoustical parameters

i.e. roughness

fluctuation and SFBER.

关键词

Keywords

references

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