To study the influence of aerodynamic noise generated by exterior rearview mirrors, established a vehicle computational fluid dynamics (CFD) model of a pickup truck, extract the pressure on the window surface and compared with the test data in the wind tunnel, the results showed good consistency, proving the effectiveness of the CFD model. Turbulent pressure and acoustic pressure excitation on the surface of the side window and front windshield was loaded as an excitation on the acoustic model to calculate the interior noise. The simulation results were consistent with the experimental data. Through simulation analysis results, it was found that the original mirror handle shape had severe airflow separation, accompanied by severe swirling vortices, which were very detrimental to the noise inside the vehicle. Optimization schemes were proposed to significantly suppress the vortex shedding intensity in the wake region and the dipole sound source energy. The experimental results show that the sound pressure level inside the vehicle is reduced by 2.7 dBA , and the AI is improved by 3.2%. The research provides effective control and optimization methods for predicting and controlling wind noise caused by rearview mirrors, which has important engineering application significance. |