Explainable Deep Learning Model for Wind Noise Prediction from Changes in Vehicle Exterior Design

Reducing vehicle interior noise to provide a pleasant driving environment is important in the vehicle industry because the interior noise is one of the important factors in evaluating the vehicle’s quality. In the case of eco-friendly electric vehicles, noises generated by the wind while driving is considered to be the main cause of vehicle noise. The most influential factor for wind noise is the vehicle exterior design. Previously, a vehicle-specific analysis model was constructed using computer-aided engineering to predict wind noises. However, the existing methods require an additional analysis according to changes in the exterior design, and it depends on the subjective opinions of experts. Therefore, it is necessary to develop an effective model that predicts and analyzes wind noises through various exterior design images. In this study, we propose an explainable deep learning model that can predict internal noises by using the vehicle