Research on Prediction and Control of Heavy Commercial Vehicle Interior High Frequency Noise Based on SEA

Abstract

A statistical energy analysis model for predicting the noise of commercial vehicles was established in this paper. The modal density and loss factor of each subsystem were obtained by combining the calculation and test. The vibration excitation and sound excitation under various working conditions were measured. Then these basic parameters and excitation were put into the model for simulation and calculation, and the sound pressure level of driver's head sound cavity was obtained. By comparing the experimental results, the maximum error does not exceed 2dB (A), which indicates the accuracy of the SEA model for predicting noise. The energy transfer path analysis was carried out to find out the subsystems with the largest contribution of noise. Two kinds of optimized schemes were proposed and the results showed that the interior noise sound pressure can decrease by about 1.5dB (A).