Design by optimization of an axial-flux permanent-magnet synchronous motor using genetic algorithms

In this paper, a genetic algorithm (GA) is used to optimize a motor for an automotive application. This motor is a double stator axial permanent-magnet (PM) machine, and the optimization uses a simplified analytical model. The solution obtained with the tool is compared to three-dimensional (3-D) fi...

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Hauptverfasser: Benlamine, R., Dubas, F., Randi, S.-A, Lhotellier, D., Espanet, C.
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:In this paper, a genetic algorithm (GA) is used to optimize a motor for an automotive application. This motor is a double stator axial permanent-magnet (PM) machine, and the optimization uses a simplified analytical model. The solution obtained with the tool is compared to three-dimensional (3-D) finite-elements method (FEM) to confirm the validity of the model.
DOI:10.1109/ICEMS.2013.6754546