Correlation of the sound quality and vibration of end of line testing for automatic transmission

C. Su, Dunning Liu, Huanyu Zhao, Yanling Yuan, Tingbin Song
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Abstract

This paper introduces a method to quickly and accurately identify the sound quality of automatic transmission in a vehicle by testing the objective vibration parameters on automatic transmission EOL (end of line) test bench. In this study, 50 automatic transmissions serve as the research object, and the vibration parameters of each gear of the transmission are measured on the EOL bench. Then, the transmission is mounted on a vehicle, the vibration parameters and acoustic parameters of corresponding working conditions are measured, and the subjective evaluation of the noise quality of the vehicle is carried out by using a grade scoring method. After this data is collected, the specific vibration parameters and acoustic parameters that are the dominant factors of sound quality are determined by correlation analysis. Based on the multiple linear regression method, the following mathematical models are formulated: the vibration parameters and the subjective evaluation of a vehicle, and the acoustic parameters and the subjective evaluation of a vehicle. Among these models, the mathematical models of the vibration parameters and the subjective evaluation of a vehicle were verified to be more accurate. The consistency between the vibration value in a vehicle and the vibration value on EOL test bench is analyzed and the EOL vibration value is determined to be the most objective evaluation of the data. After batch testing of 100 sets, the effectiveness of this model is within 95%. Finally, the value of critical amplitude of the condition of each gear of transmission is analyzed to form the judgment standard of transmission EOL vibration to ensure better sound quality for the vehicle.
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自动变速器末端测试的声音质量与振动的相关性
本文介绍了一种通过在自动变速器 EOL(报废)试验台上测试客观振动参数来快速准确地识别汽车自动变速器声音质量的方法。本研究以 50 台自动变速器为研究对象,在 EOL 试验台上测量变速器各档位的振动参数。然后,将变速器安装在车辆上,测量相应工况下的振动参数和声学参数,并采用等级评分法对车辆的噪声质量进行主观评价。收集这些数据后,通过相关性分析确定影响声音质量的主要因素--特定的振动参数和声学参数。根据多元线性回归法,建立了以下数学模型:振动参数与车辆主观评价、声学参数与车辆主观评价。在这些模型中,振动参数和车辆主观评价的数学模型被证实更为准确。分析了车辆振动值与 EOL 测试台振动值之间的一致性,确定 EOL 振动值是最客观的评价数据。经过 100 组批量测试,该模型的有效性在 95% 以内。最后,通过分析变速器各齿轮状态的临界振幅值,形成变速器 EOL 振动的判断标准,以确保车辆具有更好的音质。
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