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Road Noise Evaluation by Sound Quality Simulation Module
- Perry Gu - Geely Automobile Research Institute ,
- Jie Mao - Geely Automobile Research Institute ,
- Zhidong Chen - Geely Automobile Research Institute ,
- Zhi Ding - Geely Automobile Research Institute ,
- Lei Cheng - Geely Automobile Research Institute ,
- Zhenying Zhu - Geely Automobile Research Institute ,
- Hong Peng - Geely Automobile Research Institute
ISSN: 2641-9637, e-ISSN: 2641-9645
Published April 14, 2020 by SAE International in United States
Citation: Gu, P., Mao, J., Chen, Z., Ding, Z. et al., "Road Noise Evaluation by Sound Quality Simulation Module," SAE Int. J. Adv. & Curr. Prac. in Mobility 2(4):2312-2319, 2020, https://doi.org/10.4271/2020-01-1275.
An objective evaluation of sound quality is a technical bridge connecting sound pressure level (SPL) and human auditory sensation. In this paper, an algorithm is proposed for calculating objective evaluation parameters of sound quality (including loudness, sharpness and articulation index), considering acoustic characteristics of human external ear, middle ear and inner ear to reflect auditory sensation. A sound quality simulation (SQS) module is coded according to the algorithm. The module is used for evaluating sound quality of road noise from an SUV in three steps. Firstly, interior noise is predicted by integrating finite-element method (FEM), hybrid FE-SEA method, and statistical energy analysis (SEA) for low frequency (20~315 Hz), medium frequency (315~500 Hz), and high frequency (>500 Hz) in 1/3 octave band, respectively. The predicted interior noise SPLs are compared with the measured results, with deviations less than 3dB in average. Secondly, the sound quality parameters are calculated using the predicted SPLs in the SQS module. The predicted and measured loudness, sharpness, and articulation index are compared, with average deviations less than 5%. Finally, the predicted interior noise is filtered by the SQS module in 1/3 octave band, to determine the dominant contribution bands for the sound quality parameters. Several optimized designs are implemented to optimize the sound quality parameters, and validated by experiments.