Analytical modelling and design optimisation of an electric machine for a mild hybrid electric vehicle

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.

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Source https://theses.hal.science/tel-00963620
Author Daguse, Benjamin
Maintainer CCSD
Last Updated May 5, 2026, 22:05 (UTC)
Created May 5, 2026, 22:05 (UTC)
Identifier NNT: 2013SUPL0012
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Supélec Sciences des Systèmes (E3S) ; Ecole Supérieure d'Electricité - SUPELEC (FRANCE)
creator Daguse, Benjamin
date 2013-06-17T00:00:00
harvest_object_id c45a4563-d66d-4f93-b494-285a43b9defb
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE