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Saint-Gobain is currently developing Statistical Energy Analysis models in order to predict the mid-high frequency airborne interior noise generated by the wind excitations on vehicles. Our objective is to assess the possibility of using the predictions of this model to perform subjective evaluation of the acoustic comfort inside the cabin. This way, as a tier-one supplier of automotive glazing, Saint-Gobain could investigate psycho-acoustic evaluations earlier in its design process. A car equipped with several sets of glazing was exposed to an in-lab representative excitation to record an experimental set of sounds. Concurrently, those car configurations were simulated using the model and a numerical set of sounds was auralized. Both sets were compared through two jury testing campaigns. The campaigns highlighted that the participants gave similar evaluations of sounds regardless of their origin set. However, the ratings were not exactly the same between measurement and simulation. The definition of the glazing inside the model and/or its interaction with elements linked to it, like the window seals, might be the cause of those rating differences. More investigations were thus conducted to assess the influence of the window seals on the acoustic insulation performances of the glazing.

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In the automotive industry, the acoustic comfort is considered as a selling point of utmost importance. To help the OEMs improve the acoustic comfort in cars, as a one-tier supplier of automotive glazing, Saint-Gobain is currently working on the acoustic comfort within the cabin in order to propose the right set of glazing consistent with the OEMs' specifications. The characterization of the acoustic comfort mostly relies on physical demonstrators required for carrying out the relevant measurements. It is however not available early in the project phase, delaying the subjective analysis late in the development phase. To have the opportunity to develop effective solutions, the acoustic comfort has to be investigated as early as possible in the design process. Saint-Gobain is thus currently developing relevant acoustic models in order to predict the mid-high frequency airborne interior noise generated by the wind excitations. The subjective acoustic comfort has then to be assessed using the predicted interior sound pressure levels converted into audio soundtracks for the auralization purposes. In this paper, we briefly present the Statistical Energy Analysis model developed by Saint-Gobain. The psychoacoustic methodology deployed to evaluate its reliability for the subjective evaluation of the automotive acoustic comfort is detailed.