Synchronous reluctance machine geometry optimisation through a genetic algorithm based technique

In this study, the design optimisation of a synchronous reluctance machine for light electric vehicles is proposed, to increase efficiency and reduce torque ripples. The existing machine was structurally optimised, using dedicated genetic algorithms, replacing only the rotor and keeping the stator a...

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Veröffentlicht in:	IET electric power applications Jg. 12; H. 3; S. 431 - 438
Hauptverfasser:	Ruba, Mircea, Jurca, Florin, Czumbil, Levente, Micu, Dan D, Martis, Claudia, Polycarpou, Alexis, Rizzo, Renato
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.03.2018
Schlagworte:	complex co‐simulation dedicated genetic algorithms design optimisation electric vehicles finite element analysis software Flux2D genetic algorithms genetic algorithm‐based technique inductance characteristics light electric vehicles machine performances Matlab mean torque optimisation process optimised rotor design reluctance machines Research Article rotor architecture rotor skewing rotors stator stators synchronous reluctance machine geometry optimisation torque loss torque ripple reduction rotors synchronous reluctance machine geometry optimisation machine performances electric vehicles genetic algorithm-based technique torque loss Flux2D genetic algorithms design optimisation dedicated genetic algorithms light electric vehicles stators mean torque inductance characteristics rotor architecture rotor skewing reluctance machines optimised rotor design complex co-simulation torque ripple reduction stator finite element analysis software optimisation process Matlab
ISSN:	1751-8660, 1751-8679, 1751-8679
Online-Zugang:	Volltext
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