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Fast Computational Dynamic Model of Traction Drive for Electric Vehicles

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  • معلومة اضافية
    • Contributors:
      Laboratoire Génie électrique et électronique de Paris (GeePs); CentraleSupélec-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS); Laboratoire des signaux et systèmes (L2S); CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS); Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE); École normale supérieure - Rennes (ENS Rennes)-Conservatoire National des Arts et Métiers CNAM (CNAM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Gustave Eiffel-CY Cergy Paris Université (CY); IEEE
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2022
    • الموضوع:
    • الموضوع:
      Merced, United States
    • نبذة مختصرة :
      International audience ; To reduce the time-to-market of electric vehicles, fast and accurate energetic simulations are needed. This paper aims to propose a fast computational dynamic model that allows a good compromise between accuracy and computation time while respecting the dynamics of the system. Its accuracy and computation time are evaluated compared to conventional static and dynamic models. The results show that the proposed dynamic model estimates the same energy consumption as the traditional dynamic model for a computation time 85 times faster. The computation time of the static model is four times faster than the proposed model, but the accuracy is reduced.
    • الرقم المعرف:
      10.1109/VPPC55846.2022.10003383
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.355FE5FF