Analytical modelling and design optimisation of an electric machine for a mild hybrid electric vehicle
type: Dataset
contact point: Organization
  fn: CCSD
keyword: modelisation-analytique
keyword: theses
keyword: machine-synchrone-a-aimants-permanent
keyword: spiotherengineering-sciences-physicsother
keyword: infoeu-reposemanticsdoctoralthesis
keyword: application-automobile
keyword: analytical-modelling
keyword: automotive-application
keyword: permanent-magnet-synchronous-machine
keyword: optimisation
landing page: https://theses.hal.science/tel-00963620
description: The work presented in this thesis aims at the modelling and optimisation of electrical machine for an automotive application.The first part shows the constraints required to electric/hybrid automotive specifications. A clustering method which allows to reduce evaluations number of the operating points is described. Next, an optimal pre-sizing of the machine is presented and designed in order to respect this optimal pre-sizing.In what follows an accurate and fast analytical electromagnetic modelling of the machine is performed. Well, the analytical modelling developed is related to a genetic algorithm. Two solutions of permanent magnet synchronous machines (PMSM) designed to automotive application are finally showed and analysed.
identifier: NNT: 2013SUPL0012
issued: 2026-05-05T22:05:53.458691
language: fr
modified: 2026-05-05T22:05:53.458696

test_moissonnage_selune
type: Agent

Analytical modelling and design optimisation of an electric machine for a mild hybrid electric vehicle
type: Distribution
access URL: https://theses.hal.science/tel-00963620
format: HTML
issued: 2026-05-05T22:05:53.480744
modified: 2026-05-05T22:05:53.445491