Title: Uncertainty Analysis of High-Frequency Noise in Battery Electric Vehicle Based on Interval Model
text: The high-frequency noise issue is one of the most significant noise, vibration, and harshness problems, particularly in battery electric vehicles (BEVs). The sound package treatment is one of the most important approaches toward solving this problem. Owing to the limitations imposed by manufacturing error, assembly error, and the operating conditions, there is often a big difference between the actual values and the design values of the sound package components. Therefore, the sound package parameters include greater uncertainties. In this article, an uncertainty analysis method for BEV interior noise was developed based on an interval model to investigate the effect of sound package uncertainty on the interior noise of a BEV. An interval perturbation method was formulated to compute the uncertainty of the BEV’s interior noise. The sound absorption coefficient and transmission loss of the sound package were obtained through tests, and a statistical energy analysis model of the BEV was established. The acoustic loads of the BEV were tested and the interior noise of the cabin was analyzed under certain working conditions. Uncertain parameters were introduced to describe the sound package system of the firewall. The sensitivities of the uncertain parameters were analyzed using the numerical sensitivity analysis method. The effect of interior noise was predicted through the interval perturbation method, and the robustness of the system was analyzed under the influence of uncertain parameters.