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As pressures mount to remove physical prototyping from the vehicle development process, there is a growing need for subjective evaluations of virtual prototypes. Virtually assessing NVH vehicle targets and using driving simulators to make those early critical design decisions is becoming a larger part of the NVH engineering process. Today this is only possible if you put a driving simulator at the center of your development process. Being able to drive and evaluate both test and simulation results simultaneously in a simulator allows engineering teams to leverage a hybrid engineering approach. By starting with measured on-road data from a physical vehicle, engineers can build virtual prototypes. By using this hybrid engineering process to incorporate CAE and test data together an engineer can create a virtual vehicle model with the desired NVH characteristics as a physical vehicle.

Current vehicle acoustic performance prediction methods, CAE (computer aided engineering) or physical testing, have some difficulty predicting interior sound in the mid-frequency range (300 to 1000 Hz). It is in this frequency range where the overall acoustic performance becomes sensitive to not only the contributions of structure-borne sources, which can be studied using traditional finite element analysis (FEA) methods, but also the contribution of airborne noise sources which increase proportional to frequency. It is in this higher frequency range (>1000 Hz) that physical testing and statistical CAE methods are traditionally used for performance studies. This paper will discuss a study that was undertaken to test the capability of a finite element modeling method that can accurately simulate air-borne noise phenomena in the mid-frequency range.