NVH optimization of electric motors: optimization under constraints and uncertainty - Surveillance, Vibrations, Shock and Noise Access content directly
Conference Papers Year : 2023

NVH optimization of electric motors: optimization under constraints and uncertainty

Abstract

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
Fichier principal
Vignette du fichier
Survishno2023_Dupont_et_al.pdf (895 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

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

Identifiers

  • HAL Id : hal-04165662 , version 1

Cite

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⟩
24 View
74 Download

Share

Gmail Facebook X LinkedIn More