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Stefan cel Mare
University of Suceava
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  1/2015 - 10

 HIGH-IMPACT PAPER 

Multi-objective Optimal Design of a Five-Phase Fault-Tolerant Axial Flux PM Motor

SAAVEDRA, H. See more information about SAAVEDRA, H. on SCOPUS See more information about SAAVEDRA, H. on IEEExplore See more information about SAAVEDRA, H. on Web of Science, RIBA, J.-R. See more information about  RIBA, J.-R. on SCOPUS See more information about  RIBA, J.-R. on SCOPUS See more information about RIBA, J.-R. on Web of Science, ROMERAL, L. See more information about ROMERAL, L. on SCOPUS See more information about ROMERAL, L. on SCOPUS See more information about ROMERAL, L. on Web of Science
 
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Download PDF pdficon (1,214 KB) | Citation | Downloads: 964 | Views: 4,117

Author keywords
motor design, fault-tolerance, optimization, permanent magnet machines, sizing equations

References keywords
magnet(20), permanent(17), motor(11), machines(9), design(9), optimization(8), flux(8), synchronous(7), axial(6), riba(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

Abstract
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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.


References | Cited By  «-- Click to see who has cited this paper

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[2] B. Abdi, J. Milimonfared, J. Shokrollahi Moghani, A. Kashefi Kaviani, "Simplified Design and Optimization of Slotless Synchronous PM Machine for Micro-Satellite Electro-Mechanical Batteries," Advances in Electrical and Computer Engineering, vol. 9, no. 3, pp. 84-88, 2009,
[CrossRef] [Full Text] [Web of Science Times Cited 16]


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[CrossRef]


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[CrossRef]


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[CrossRef]


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[CrossRef]


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[CrossRef]


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[31] K. Hong-seok, Y. Yong-Min, K. Byung-il, "Rotor shape optimization of interior permanent magnet BLDC motor according to magnetization direction", IEEE Trans. Magnet, vol.. 49, no 5, pp. 219-2196, 2013.
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References Weight

Web of Science® Citations for all references: 1,024 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 32 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-04-16 02:43 in 142 seconds.




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