基于区间灰数理论的汽车声品质主观评价方法研究*

doi:10.19562/j.chinasae.qcgc.2020.07.013

汽车工程 ›› 2020, Vol. 42 ›› Issue (7): 933-940.doi: 10.19562/j.chinasae.qcgc.2020.07.013

基于区间灰数理论的汽车声品质主观评价方法研究^*

毕凤荣¹, 黄宇¹, 张立鹏², 沈鹏飞¹, 吕大立²

1.天津大学,内燃机燃烧学国家重点实验室,天津 300072;
2.天津内燃机研究所,天津 300072

收稿日期:2019-08-27 出版日期:2020-07-25 发布日期:2020-08-14
通讯作者: 黄宇,硕士研究生,E-mail:huang_yu@tju.edu.cn。
基金资助:
*国家自然科学基金(51705357)和天津自然科学基金(18JCYBJC20000)资助。

Research on Subjective Evaluation Method of Vehicle Sound Quality Based on Interval Grey Number Theory

Bi Fengrong¹, Huang Yu¹, Zhang Lipeng², Shen Pengfei¹, Lü Dali²

1. Tianjin University, State Key Laboratory of Engines, Tianjin 300072;
2. Tianjin Internal Combustion Engine Research Institute, Tianjin 300072

Received:2019-08-27 Online:2020-07-25 Published:2020-08-14

摘要/Abstract

摘要： 为提高汽车声品质主观评价试验的可靠性和实用性,并对纯电动汽车在匀速及加速工况下的车内噪声品质特性进行分析,在参考语义细分法(ASDM)的基础上结合区间灰数理论,提出一种改进的声品质主观评价方法。评审员以某一基准样本作为参考,采用模糊打分方式对车内噪声样本进行主观评价,以灰色关联度作为评分者信度来筛除无效评分,提出了一种区间灰数的确信度参数,作为计算分数权值的重要指标,以求得各个样本的综合评分结果。通过与传统语义细分法(SDM)以及ASDM的评分结果进行对比分析,验证了改进的方法能在保持相同工作量的前提下,更准确地反映人对汽车车内噪声的主观感受。并采用该方法对3款不同定位的纯电动汽车在不同工况下的车内噪声品质进行了主观评价试验,对比分析了3辆车的声品质特性。

关键词: 汽车声品质, 区间灰数, 主观评价, 语义细分法

Abstract: In order to improve the reliability and practicability of subjective evaluation of vehicle sound quality, and to analyze the interior noise quality characteristics of pure electric vehicle under the condition of constant speed and acceleration, based on the anchored semantic differential method (ASDM) and the interval grey number theory, an improved subjective evaluation method of sound quality is proposed. Firstly, referring to a benchmark sample, the assessors use fuzzy scoring method to evaluate subjectively the noise samples in the vehicles. Secondly, the grey incidence degree is used as scorer reliability to eliminate the invalid score data. Thirdly, a certainty parameter of interval grey number is proposed as an important index for calculating the weights of scores in order to obtain the comprehensive scoring results of each sample. By comparison with the evaluation results of traditional semantic differential method (SDM) and ASDM, it is verified that the improved method can more accurately reflect people's subjective feelings about the noise in the vehicle while the workload of evaluation is not increased. The method is used to evaluate subjectively the interior noise quality of three pure electric vehicles of different positioning under different working conditions, so that the sound quality characteristics of three vehicles can be compared and analyzed.

Key words: vehicle sound quality, interval grey number, subjective evaluation, semantic differential method

毕凤荣, 黄宇, 张立鹏, 沈鹏飞, 吕大立. 基于区间灰数理论的汽车声品质主观评价方法研究^*[J]. 汽车工程, 2020, 42(7): 933-940.

Bi Fengrong, Huang Yu, Zhang Lipeng, Shen Pengfei, Lü Dali. Research on Subjective Evaluation Method of Vehicle Sound Quality Based on Interval Grey Number Theory[J]. Automotive Engineering, 2020, 42(7): 933-940.

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基于区间灰数理论的汽车声品质主观评价方法研究^*

Research on Subjective Evaluation Method of Vehicle Sound Quality Based on Interval Grey Number Theory

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