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Fast Noise Prediction of an Electric Powertrain Integrated in Various Vehicles ANSYS, Incorporated

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Redon, Milan, author.
Contributor:
Dendievel, Clement
Pluton, Matthias
Conference Name:
Noise & Vibration Conference & Exhibition (2025-05-12 : Grand Rapids, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
As the automotive industry moves toward electrification, new challenges emerge in keeping pleasant acoustics inside vehicles and their surroundings. This paper proposes a method for anticipating the main sound sources at driver's ear for custom driving scenarios. Different categories of Road and Wind noise were created from a dataset of multiple vehicles. Using innovative sound synthesis techniques, it enables Valeo to make early predictions of the emergence of an electric axle powertrain (ePWT) once it is combined with this masking noise. Realistic signals could be generated and compared with actual acoustic measurements to validate the method
Notes:
Vendor supplied data
Publisher Number:
2025-01-0076
Access Restriction:
Restricted for use by site license

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