Optimal and multi-physic design of inductors-transformer associated to railway application

Nowadays, power converters in railway domain are more and more compact and powerful. This progress is due to the use of fast efficient components, working at high frequency like IGBT. But this evolution generates many harmonics losses in different components as inductors or transformers, and complicates their design. In addition, for the design stage, acoustics comfort is an increasingly important factor. Hence, it is necessary to develop multi-physic models in order to integrate different phenomena as the PWM effects, the temperature, and the noise. These models are coupled to an optimization tool in order to define the design rules of passive components: inductors or transformers coupled with inductor for the railway applicationIt’s necessary to develop fast models with a good compromise between the accuracy of field calculations. In this thesis, only transformers and inductors with an air forced cooling are studied. A 3D thermal model based on a nodal network linked to electromagnetic model is used. In order to optimize this structure, NSGA-II algorithm is chosen. Some global optimizations, with respect to several objectives (weight and losses), including thermal constraint are finally presented. Experimental design method is applied to know how these response functions behave in the neighborhood of the optimal point

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Source https://theses.hal.science/tel-00917884
Author Rossi, Mathieu
Maintainer CCSD
Last Updated May 7, 2026, 20:07 (UTC)
Created May 7, 2026, 20:07 (UTC)
Identifier NNT: 2012ECLI0034
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP) ; Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies-JUNIA (JUNIA) ; Université catholique de Lille (UCL)-Université catholique de Lille (UCL)
creator Rossi, Mathieu
date 2012-12-18T00:00:00
harvest_object_id 9e211d25-4faa-4000-be5a-7d6d8ade699b
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