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Modeling and optimization of an axial claw pole motor for electric traction

Abstract : The work in this thesis deals with the study of an axial flux claw pole machine for automotive traction. In an industrial context, the objective is not the absolute search for precision but to develop tools to obtain as quickly as possible useful information for design and decision making. The choice was made on free and open softwares, Gmsh/GetDP for the finite element part and NOMAD for the optimization in order to adapt these tools specifically to the engine sizing of this thesis with a control of the geometry, the mesh, the solved formulations and the optimization problem. An API was developed in order to automatize the setting up of models and the dialogue between the different softwares. In addition, the use of free software with the control of the solved formulations has allowed the implementation of practical methods to facilitate modeling. The obtained results are never an exact image of reality and must be used with care. In an industrial context, several questions arise so as not to waste time calculating non-exploitable quantities. Which quantities can be calculated with confidence ? To what extent can the mesh be expanded in order to find the compromise between speed and precision ? To answer these questions, a methodology based on the comparison of results from two formulations has been developed. Finally, the use of models solved by the finite element method in an optimization process, allowed the design of several innovative structures satisfying the specifications. A search for simplification of the inductor has allowed to obtain unconventional structures that could be interesting in a search for cost reduction.
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https://hal.univ-lorraine.fr/tel-03133195
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Submitted on : Friday, February 5, 2021 - 5:04:39 PM
Last modification on : Wednesday, May 12, 2021 - 3:42:48 PM
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  • HAL Id : tel-03133195, version 1

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Dominique Giraud. Modeling and optimization of an axial claw pole motor for electric traction. Electric power. Université de Lorraine, 2020. English. ⟨NNT : 2020LORR0167⟩. ⟨tel-03133195⟩

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