Title: Highly Efficient Robust Optimization Design Method for Improving Automotive Acoustic Package Performance
text: To consider the influence of uncertainty in the design process of automotive acoustic packages, the robustness of the acoustic packaging system performance must be improved, and the low-efficiency problem of the two-layer nesting robustness optimization model must be solved. This article proposes a highly efficient robustness optimization design method for improving the performance of the automotive acoustic package. First, the full vehicle model was established based on the statistical energy analysis method, and the accuracy of the model was verified through acoustic transfer function (ATF) testing. The parameters affecting the sound absorption and insulation performance of the key acoustic packaging parts were selected as the uncertain parameters, and their sensitivity was analyzed. The possibility degree method of interval numbers was introduced to convert the two-layer nesting robustness optimization model to a single-layer optimization model, and the efficient robust design of the automotive acoustic packaging was realized. The acoustic packaging parts of a sport utility vehicle (SUV) were analyzed and optimized using the proposed efficient and robust optimization method. After optimization, the total mass of the acoustic packaging parts decreased by 10.8%, the radius of the perturbation interval of the interior noise decreased by more than 25% compared with the initial value, and the robustness of the system greatly improved.