Elena Tumino
3D Beamforming Algorithm for Vehicle Aeroacoustic Investigation.
Rel. Francesco Avallone, Alessandro Aquili, Francesco Uffreduzzi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2025
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Abstract
The significant reduction in automotive powertrain noise, due to electric vehicles and stringent emissions regulations, has highlighted wind noise and its mitigation as a key area of automotive development. Consequently, the precise identification of aeroacoustic noise sources is vital for enhancing vehicle acoustic comfort in a cost-effective and efficient manner, particularly as many of the noise sources now observed were once masked by powertrain sounds. Currently, beamforming techniques, which utilize one or more microphone arrays to detect noise sources on a virtual plane near the vehicle, are the industry standard for external aeroacoustic assessment. However, assuming that all noise sources reside on this defined plane can lead to inaccuracies in estimating the intensity and location of off-plane sources.
To address this limitation, Pininfarina has implemented a multi-plane approach for its overhead microphone array
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