Predicting vehicle interior sound with statistical energy analysis

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Predicting vehicle interior sound with statistical energy analysis

Musser, Chadwyck T. / Manning, Jerome E. / Peng, George Chaoying

Statistical energy analysis (SEA) is the standard analytical tool for predicting vehicle acoustic and vibration responses at high frequencies. SEA is commonly used to obtain the interior sound pressure level (SPL) due to each individual noise or vibration source and to determine the contribution to the interior noise through each dominant transfer path. This supports cascading vehicle noise and vibration targets and early evaluation of vehicle design to effectively meet NVH targets with optimized cost and weight. Here we discuss the SEA modeling assumptions used to generate a typical model of a vehicle cabin interior and surrounding structure. The distribution of acoustic absorption and its effect on the local interior SPL responses are addressed. Measurements of transfer functions to various points of the vehicle interior from exterior and interior acoustic sources and structure-borne sources for a typical vehicle are also presented and compared to SEA model predictions. Observations and recommendations about typical interior transfer function correlation, modeling limitations, and use of the SEA model as a design tool are given.