Automotive Interior Noise Reduction in High Frequency Using Statistical Energy Analysis
Statistical energy analysis (SEA) is an effective method for predicting high frequency vibro-acoustic performance of automobiles. A full vehicle SEA model is presented for interior noise reduction. It is composed of a number of subsystems based on a 3D model with all parameters for each subsystem. The excitation inputs are measured through road tests in different conditions, including inputs from the engine vibration and the sound pressure of the engine bay. The accuracy in high frequency of SEA model is validated, by comparing the analysis results with the testing pressure level data at driver's right ear. Noise contribution and sensitivity of key subsystems are analyzed. Finally, the effectiveness of noise reduction is verified. Based on the SEA model, an approach combining test and simulation is proposed for the noise vibration and harshness (NVH) design in vehicle development. It contains building the SEA model, testing for subsystem parameter identification, validating the simulation model, identifying subsystem power inputs, analyzing the design sensitivity. An example is given to demonstrate the interior noise reduction in high frequency.
作 者： CHEN Xin WANG Deng-feng ZHU Lei MA Zheng-dong 作者单位： CHEN Xin,WANG Deng-feng,ZHU Lei(State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun 130025 Jilin, China)MA Zheng-dong(College of Engineering, University of Michigan, Ann Arbor 48109 MI, USA)
刊 名： 兵工学报（英文版） 英文刊名： JOURNAL OF CHINA ORDNANCE 年，卷(期)： 2009 5(3) 分类号： U463.83 关键词： mechanical design automotive interior noise reduction high frequency statistical energy analysis