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Development of a new sound quality parameter for road noise perception inside vehicle cabinet

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Özkan, Aytekin
Yıldız, Mehdi
Yıldız, Ahmet

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MDPI

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Road noise significantly impacts how customers perceive vehicle noise, especially in electric vehicles, where it becomes more noticeable with the lack of the masking effect of the internal combustion engine. In this study, a novel sound quality (SQ) metric to capture the perception of road noise was established with the help of both objective measurements and subjective evaluations on six different vehicles under smooth and rough road conditions. A jury of 50 individuals participated in subjective evaluations in controlled settings, experiencing road noise on six vehicles under both smooth and rough conditions. The same vehicles were also objectively measured in these conditions. Using subjective responses and objective measurements, this study identified key sound quality parameters influencing perception. These parameters were used to develop a new regression model predicting customer perception of road noise, considering both aspects of comfort and satisfaction to follow as a key indicator for road noise, particularly in electric vehicles. While an R2 of 0.312 was obtained with SPL, R2 of 0.972 and 0.999 were obtained with the new comfort and satisfaction metrics, respectively. The effectiveness of the newly created SQ metrics was further validated across various vehicles.

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Sound quality, Road noise, Acoustics, Multi-variable regression, Science & technology, Physical sciences, Technology, Chemistry, multidisciplinary, Engineering, multidisciplinary, Materials science, multidisciplinary, Physics, applied, Chemistry, Engineering, Materials science, Physics

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