Identification And Optimization Of Vehicle Interior Noise Based On Time-domain Tranfer Path Analysis Method

China’s automobile industry has made a considerable process in the past ten years.As an important index of ride experience,vehicle interior noise and vibration characteristic（NVH performance）have gradually become the focus of people’s attention.Due to the vehicle interior noise is an important part of NVH performance during running,therefore,its identification and optimizing play a significant role in improving product’s competitiveness.However,how to identify the vehicle noise quickly and efficiently is a momentous research in automobile R&D field.With an actual vehicle as research project,the research used multi-channel data acquisition frontend and time-domain transfer path synthesis software to build vehicle interior noise equivalent model and used the comparison of the real noise and the synthesis noise to validate the model.After model validation,the research used multiple ways of contribution analysis to identify vehicle interior noise caused by wheel system of engine,resonance of sub-frame and exhaust hook.Based on the interior noise equivalent model,the research made virtual optimization to air-borne transfer paths,engine mount structure-borne transfer paths and exhaust system structure-borne transfer paths and validated the optimization.The research is guided by effective virtual optimization,while associating the transfer function of modal with the acoustical and structural characteristics of real vehicle,the research used the methods of modal analysis and ODS to guide the optimization of prototype vehicle.After the optimization of acoustic package,sub-frame and exhaust hook,the broad noise at1700r·min^-1-1800 r·min^-11 has been eliminated,3200 r·min^-1,3500 r·min^-11 booming to driver’s right ear and 2600 r·min^-1,3900 r·min^-11 to right rear passenger’s right ear has been reduced about 4⁵dB（A）under the accelerated condition,while proposing a set of efficient,fast,and procedural method to identify and optimize vehicle interior noise based on time-domain transfer path analysis.