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Multi-objective Optimal Design of a Five-Phase Fault-Tolerant Axial Flux PM MotorSAAVEDRA, H. , RIBA, J.-R. , ROMERAL, L. |
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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
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. |
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