Pre-optimization of hybridization ratio in hybrid excitation synchronous machines using electrical circuits modelling

被引：7

作者：

Amara, Yacine ^{[1
]}

Hlioui, Sami ^{[2
]}

Ben Ahmed, Hamid ^{[3
]}

Gabsi, Mohamed ^{[4
]}

机构：

[1] Normandie Univ, UNIHAVRE, GREAH, F-76600 Le Havre, France

[2] Conservatoire Natl Arts & Metiers, UMR CNRS 8029, SATIE, Paris, France

[3] Ecole Normale Super Rennes, UMR CNRS 8029, SATIE, F-35170 Bruz, France

[4] Ecole Normale Super Paris Saclay, UMR CNRS 8029, SATIE, F-94230 Cachan, France

来源：

MATHEMATICS AND COMPUTERS IN SIMULATION | 2021年 / 184卷

关键词：

Hybrid excitation; Synchronous machines; Permanent magnet; Hybridization ratio; Optimization; Electric vehicles; Efficiency; CAPABILITY; MOTORS;

D O I：

10.1016/j.matcom.2020.04.024

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Hybridization ratio alpha is an additional degree of freedom offered by the hybrid excitation principle in the design of synchronous electrical machines. The first goal of this contribution is to present the tool developed for analysing the effect of the hybridization ratio. This software tool is based on the electrical circuits modelling of hybrid excitation synchronous machines. This tool can also be advantageously used for the pre-optimization of this parameter. The used model and the optimization algorithm are first thoroughly detailed. Finally, a parametric study intended to investigate the effect of some design specifications and parameters on this optimal value is presented. (C) 2020 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.

引用

页码：118 / 136

页数：19