|1/2015 - 10|
Multi-objective Optimal Design of a Five-Phase Fault-Tolerant Axial Flux PM MotorSAAVEDRA, H. , RIBA, J.-R. , ROMERAL, L.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,214 KB) | Citation | Downloads: 289 | Views: 1,327|
motor design, fault-tolerance, optimization, permanent magnet machines, sizing equations
magnet(20), permanent(17), motor(11), machines(9), design(9), optimization(8), flux(8), synchronous(7), axial(6), romeral(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 69 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01010
Web of Science Accession Number: 000352158600010
SCOPUS ID: 84924803668
Electric motors used for traction purposes in electric vehicles (EVs) must meet several requirements, including high efficiency, high power density and fault-tolerance. Among them, permanent magnet synchronous motors (PMSMs) highlight. Especially, five-phase axial flux permanent magnet (AFPM) synchronous motors are particularly suitable for in-wheel applications with enhanced fault-tolerant capabilities. This paper is devoted to optimally design an AFPM for in-wheel applications. The main geometric, electric and mechanical parameters of the designed AFPM are calculated by applying an iterative method based on a set of analytical equations, which is assisted by means of a reduced number of three-dimensional finite element method (3D-FEM) simulations to limit the computational burden. To optimally design the AFPM, a constrained multi-objective optimization process based on a genetic algorithm is applied, in which two objective functions are considered, i.e. the power density and the efficiency. Several fault-tolerance constraints are settled during the optimization process to ensure enhanced fault-tolerance in the resulting motor design. The accuracy of the best solution attained is validated by means of 3D-FEM simulations.
Web of Science® Times Cited: 4 [View]
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 4
View record in SCOPUS® [Free preview]
 Optimization Design and Performance Analysis of a PM Brushless Rotor Claw Pole Motor with FEM, Zhang, Zhenyang, Liu, Huijuan, Song, Tengfei, Machines, ISSN 2075-1702, Issue 3, Volume 4, 2016.
Digital Object Identifier: 10.3390/machines4030015 [CrossRef]
 FEM Analysis of a New Electromechanical Converter with Rolling Rotor and Axial Air-Gap, UNGUREANU, C., GRAUR, A., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 15, 2015.
Digital Object Identifier: 10.4316/AECE.2015.04009 [CrossRef] [Full text]
 Optimal fitting of high-frequency cable model parameters by applying evolutionary algorithms, Bogarra, S., Riba, J.-R., Sala-Caselles, V., Garcia, A., International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, Issue , 2017.
Digital Object Identifier: 10.1016/j.ijepes.2016.11.006 [CrossRef]
 FEM analysis and design of an electromechanical converter with dual stator windings and flexible wave rotor, Ungureanu, Constantin, Irimia, Daniela, Bobric, Elena Crenguta, 2016 International Conference on Development and Application Systems (DAS), ISBN 978-1-5090-1993-9, 2016.
Digital Object Identifier: 10.1109/DAAS.2016.7492546 [CrossRef]
 Genetic algorithm in torque optimisation of permanently split capacitor motor, Sarac, Vasilija, Citkuseva-Dimitrovska, Biljana, 2016 International Conference on Smart Systems and Technologies (SST), ISBN 978-1-5090-3718-6, 2016.
Digital Object Identifier: 10.1109/SST.2016.7765625 [CrossRef]
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Thomson Reuters, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.