Optimization strategy for the sizing of passive magnetic components

Guillaume Devos (1) , Maya Hage-Hassan (2) , Philippe Dessante (2) , Cyrille Gautier (1) , Adrien Mercier (2) , Eric Labouré (2)

1 Safran Tech
2 GeePs - Laboratoire Génie électrique et électronique de Paris

This paper presents an optimization methodology for the design of magnetic components embedded in aeronautical structures. We want to realize a multi-objective optimization of an inductance, taking into account some physical phenomenon that are not easily described with mathematical formulations, and to set up a methodology that allows us to harvest optimization time. We will use, for that purpose, analytical formulations, Finite Element Analysis (FEA), and a neural network to reduce the time consumption of components evaluation.

Mots clés: Magnetic device; Airplane; Converter circuit; neural network; Device modeling; Energy converters for HEV; Passive component integration

Domaines: Electronique; Optimisation et contrôle [math.OC]

Guillaume Devos, Maya Hage-Hassan, Philippe Dessante, Cyrille Gautier, Adrien Mercier, et al.. Optimization strategy for the sizing of passive magnetic components. 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe), Sep 2020, Lyon, France. pp.1-8, ⟨10.23919/EPE20ECCEEurope43536.2020.9215932⟩. ⟨hal-04548459⟩