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Reduce the pressure, go for particle velocity

Scientific Paper | Evaluation of electric vehicle interior noise focused on sound source identification and transfer path analysis

Vehicles with a fully electric powertrain are becoming more and more popular in the automotive world. The introduction of EV powertrain systems has created a new and significant challenge in the refinement process of vehicles acoustics. The absence of sound masking effects, induced by conventional internal combustion (IC) powertrain, exposes vehicles passengers to a variety of new sound sources. Furthermore, tonal noise created by the motor can become a problem inside the vehicle cabin since it is subjectively more annoying than the broad band noise generated by an IC powertrain. In this paper, an example of an EV car was investigated by employing panel noise contribution analysis (PNCA). PNCA is a well-known methodology for noise quantification and ranking based on airborne Transfer Path Analysis (TPA). The pressure contribution from individual sections of the car interior is calculated by using multiple sound pressure and particle velocity measurements combined with their corresponding airborne transfer paths. PNCA measurements are carried out in real driving conditions with a time stationary excitation (constant speed). The aim of this article is to identify and rank the dominant sound sources perceived from the perspective of the driver of an EV car.

Comesana, D.F. and Korbasiewicz, M., (2015). Evaluation of electric vehicle interior noise focused on sound source identification and transfer path analysis. In Proceedings of Aachen Acoustics Colloquium.

Reduce the pressure, go for particle velocity

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