Multi-physics design rules using lumped models for a permanent magnet synchronous machine

Issue title: Selected papers from the 12th International Workshop on Optimization and Inverse Problems in Electromagnetism (OIPE 2012)

Guest editors: Luc Dupré and Guillaume Crevecoeur

Article type: Research Article

Authors: Bracikowski, Nicolas^{a; *} | Rossi, Mathieu^a | Hecquet, Michel^a | Gillon, Fréderic^a

Affiliations: [a] University Lille Nord de France, EC-Lille, Villeneuve d'Ascq, France

Correspondence: [*] Corresponding author: Nicolas Bracikowski, University Lille Nord de France, L2EP, EC-Lille, F-59651 Villeneuve d'Ascq, France. E-mail: nicolas.bracikowski@ec-lille.fr

Abstract: Modeling the dynamic behavior of electrical machines involves several fields of physics, such as electromagnetics, electronics, mechanics, thermodynamics and acoustics. Multi-physics lumped models are applied to an inverter-fed permanent magnet synchronous machine. These models are coupled and fully parameterized to optimize the machine for traction applications. A particle swarm optimization algorithm is used to obtain general tendencies and different design rules. The objective is to provide a decision-making tool using lumped models to design permanent magnet synchronous motors. In this paper, we focus on electromagnetic noise, and average and ripple electromagnetic torque. The magnetic model, a permeance network, provides a good compromise between accuracy and computing time.

Keywords: Electromagnetic acoustic noise, instantaneous electromagnetic torque, multi-physics lumped models, particle swarm optimization, permanent magnet machines

DOI: 10.3233/JAE-131706

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 43, no. 1-2, pp. 13-23, 2013