Optimization of noise reduction for ultra high speed electric air compressor in fuel cell vehicles based on multi method fusion

Operation of super-high-speed electric air compressors (SHSEAC) induces intense turbulent airflow and noise, significantly degrading user comfort. Existing noise studies, primarily focused on low-speed compressors, fail to address SHSEAC's distinct structural, flow, and acoustic characteristics. In this paper, aerodynam-ic noise generated by the SHSEAC is improved based on internal flow performance using a coupled computational fluid dynamics-computational aeroacoustic (CFD-CAA) simulation method. Firstly, a numerical model of SHSEAC was established, and the accuracy of the model was verified through experiments under idle, rated, and peak operating conditions (corresponding to 34000 rpm, 86500 rpm, and 95000 rpm, respectively). Secondly, propose a multi-objective optimization approach (MOOA)-Pareto-based to structure optimization is performed to improve both internal flow and acoustic field. The coupled simulation results indicate that the optimized structure improves the airflow and reduces turbulence between the two stages. The mean noise level (SPL) of the SHSEAC at 1m away from the boundary is minimized by 7.85 %,4.45 %, and 5.15 % at 34000 rpm, 86500 rpm, and 95000 rpm, respectively.