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Communication Dans Un Congrès Année : 2023

NVH optimization of electric motors: optimization under constraints and uncertainty

Résumé

The optimization methodology described in this paper aioms at minimizing the noise and vibrations of electric motors. It relies on a numerical workflow involving electromagnetic, dynamic and acoustic models. Afterwards, a deterministic optimization method is described and applied to automotive traction motors. A robust enhancement of the optimization is then presented. It aims at considering the effect of manufacturing tolerances, materials properties dispersion and control uncertainties on the vibratory and acoustic levels to minimize, so that the electric motors are really silent when manufactured and operated. An application case of this robust optimization based on an automotive motor is then detailled
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Dates et versions

hal-04165662 , version 1 (19-07-2023)

Identifiants

  • HAL Id : hal-04165662 , version 1

Citer

Jean-Baptiste Dupont, Martin Jeannerot, Emeline Sadoulet-Reboul, Morvan Ouisse, Vincent Lanfranchi. NVH optimization of electric motors: optimization under constraints and uncertainty. Surveillance, Vibrations, Shock and Noise, Institut Supérieur de l'Aéronautique et de l'Espace [ISAE-SUPAERO], Jul 2023, Toulouse, France. ⟨hal-04165662⟩
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