• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
  • Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A novel sparse reduced order formulation for modeling electromagnetic forces in electric motors

Article dans une revue avec comité de lecture
Author
SANCARLOS, Abel
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
CUETO, Elias
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]
CHINESTA, Francisco
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
564849 ESI Group [ESI Group]
DUVAL, Jean-Louis
564849 ESI Group [ESI Group]

URI
http://hdl.handle.net/10985/19961
DOI
10.1007/s42452-021-04310-3
Date
2021
Journal
SN Applied Sciences

Abstract

A novel model order reduction (MOR) technique is presented to achieve fast and real-time predictions as well as high-dimensional parametric solutions for the electromagnetic force which will help the design, analysis of performance and implementation of electric machines concerning industrial applications such as the noise, vibration, and harshness in electric motors. The approach allows to avoid the long-time simulations needed to analyze the electric machine at different operation points. In addition, it facilitates the computation and coupling of the motor model in other physical subsystems. Specifically, we propose a novel formulation of the sparse proper generalized decomposition procedure, combining it with a reduced basis approach, which is used to fit correctly the reduced order model with the numerical simulations as well as to obtain a further data compression. This technique can be applied to construct a regression model from high-dimensional data. These data can come, for example, from finite element simulations. As will be shown, an excellent agreement between the results of the proposed approach and the finite element method models are observed.

Files in this item

Name:
PIMM_SNAS_2021_SANCARLOS.pdf
Size:
4.270Mb
Format:
PDF
Description:
Article
View/Open
CC BY
This document is available under CC BY license

Collections

  • Autres équipes
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

Related items

Showing items related by title, author, creator and subject.

  • From ROM of Electrochemistry to AI-Based Battery Digital and Hybrid Twin 
    Article dans une revue avec comité de lecture
    SANCARLOS, Abel; CAMERON, Morgan; ABEL, Andreas; CUETO, Elias; DUVAL, Jean-Louis; CHINESTA, Francisco (Springer Science and Business Media LLC, 2020)
    Lithium-ion batteries are widely used in the automobile industry (electric vehicles and hybrid electric vehicles) due to their high energy and power density. However, this raises new safety and reliability challenges which ...
  • Fast Computation of Multi-Parametric Electromagnetic Fields in Synchronous Machines by Using PGD-Based Fully Separated Representations 
    Article dans une revue avec comité de lecture
    SANCARLOS, Abel; GHNATIOS, Chady; DUVAL, Jean-Louis; ZERBIB, Nicolas; CUETO, Elias; CHINESTA, Francisco (MDPI AG, 2021)
    A novel Model Order Reduction (MOR) technique is developed to compute high-dimensional parametric solutions for electromagnetic fields in synchronous machines. Specifically, the intrusive version of the Proper Generalized ...
  • On the effective conductivity and the apparent viscosity of a thin rough polymer interface using PGD‐based separated representations 
    Article dans une revue avec comité de lecture
    AMMAR, Amine; GHNATIOS, Chady; DELPLACE, Frank; BARASINSKI, Anais; DUVAL, Jean-Louis; CUETO, Elias; CHINESTA, Francisco (Wiley, 2020)
    Composite manufacturing processes usually proceed from preimpregnated preforms that are consolidated by simultaneously applying heat and pressure, so as to ensure a perfect contact compulsory for making molecular diffusion ...
  • Spurious-free interpolations for non-intrusive PGD-based parametric solutions: Application to composites forming processes 
    Article dans une revue avec comité de lecture
    GHNATIOS, Chady; CUETO, Elias; FALCO, Antonio; DUVAL, Jean-Louis; CHINESTA, Francisco (Springer Science and Business Media LLC, 2020)
    Non-intrusive approaches for the construction of computational vademecums face different challenges, especially when a parameter variation affects the physics of the problem considerably. In these situations, classical ...
  • Incremental dynamic mode decomposition: A reduced-model learner operating at the low-data limit 
    Article dans une revue avec comité de lecture
    REILLE, Agathe; HASCOET, Nicolas; GHNATIOS, Chady; AMMAR, Amine; CUETO, Elias; DUVAL, Jean-Louis; CHINESTA, Francisco; KEUNINGS, Roland (Elsevier Masson, 2019)
    The present work aims at proposing a new methodology for learning reduced models from a small amount of data. It is based on the fact that discrete models, or their transfer function counterparts, have a low rank and then ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales