Multi-physics optimization of a smart actuator for an automotive application

Abstract : This paper describes a design framework for optimization of automotive mechatronic systems that uses analog simulations and evolutionary algorithms. We demonstrate the effectiveness of our methodology in sizing a complex actuator under multi-physic constraints. Our challenge was to design a compact exhaust gas recirculation (EGR) valve meeting the severe electrical, thermal, mechanical and magnetic requirements of the system.
Type de document :
Communication dans un congrès
2015 17th European Conference on Power Electronics and Applications (EPE'15 ECCE-Europe) , Sep 2015, Genève, Switzerland. 2015, 2015 17th European Conference on Power Electronics and Applications (EPE'15 ECCE-Europe) 〈10.1109/EPE.2015.7309129〉
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01254975
Contributeur : Florent Robert <>
Soumis le : mercredi 13 janvier 2016 - 08:33:41
Dernière modification le : jeudi 5 avril 2018 - 12:30:24

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Florent Robert, Filipe Vinci dos Santos, Christophe Gutfrind, Laurent Dufour, Philippe Dessante. Multi-physics optimization of a smart actuator for an automotive application. 2015 17th European Conference on Power Electronics and Applications (EPE'15 ECCE-Europe) , Sep 2015, Genève, Switzerland. 2015, 2015 17th European Conference on Power Electronics and Applications (EPE'15 ECCE-Europe) 〈10.1109/EPE.2015.7309129〉. 〈hal-01254975〉

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