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               <dc:title>PMSM design for achieving a target torque-speed-efficiency map</dc:title>
               <dc:creator>Candelo Zuluaga, Carlos Andres</dc:creator>
               <dc:creator>García Espinosa, Antonio</dc:creator>
               <dc:creator>Riba Ruiz, Jordi-Roger</dc:creator>
               <dc:creator>Tubert Blanch, Pere</dc:creator>
               <dc:subject>Àrees temàtiques de la UPC::Enginyeria elèctrica::Maquinària i aparells elèctrics</dc:subject>
               <dc:subject>Electric machines</dc:subject>
               <dc:subject>Finite element method</dc:subject>
               <dc:subject>Permanent magnet machines</dc:subject>
               <dc:subject>Design optimization</dc:subject>
               <dc:subject>Design tools</dc:subject>
               <dc:subject>Magnetic losses</dc:subject>
               <dc:subject>Finite element analysis</dc:subject>
               <dc:subject>Màquines elèctriques</dc:subject>
               <dc:subject>Elements finits, Mètode dels</dc:subject>
               <dc:description>©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.</dc:description>
               <dc:description>During the last years, the requirements for a fast and reliable design of electrical machines by applying optimization methods using finite element analysis (FEA), has become a subject of study. Due to their capabilities, permanent magnet synchronous machines (PMSMs) have become the preference choice for many applications, including electric vehicles (EVs) propulsion, water-pumping, robotics, or renewable power generation among others. This paper presents a novel methodology for designing and optimizing PMSMs using the torque-speed-efficiency map. The design-optimization algorithm requires as input, the torque-speed-efficiency map of the target motor, to define the required performance for the given application. The objective is to find the motor geometry which better approximates the target torque-speed-efficiency map. The PMSM is evaluated by using magneto-static FEA combined with direct-quadrature (d-q) electrical modeling, thus greatly reducing the computational burden when compared to conventional time-dependent FEA methods. The magneto-static FEA method calculates iron losses taking into account the magnetic flux density harmonic content by applying a time-space conversion approach. The design-optimization process takes into account the control strategy as well as losses separation, which is validated by using the public experimental data of the Toyota Prius and Camry PMSMs.</dc:description>
               <dc:description>The authors would like to thank the support of the Generalitat de Catalunya under the Industrial Doctorate 2018 DI 004 and 2017SGR0967 projects, as well as the Spanish Ministry of Economy and Competitiveness under the project TRA2016-80472-R.</dc:description>
               <dc:description>Peer Reviewed</dc:description>
               <dc:description>Postprint (author's final draft)</dc:description>
               <dc:date>2020-11-24</dc:date>
               <dc:type>Article</dc:type>
               <dc:relation>https://ieeexplore.ieee.org/abstract/document/9269466</dc:relation>
               <dc:relation>info:eu-repo/grantAgreement/MINECO/2PE/TRA2016-80472-R</dc:relation>
               <dc:rights>Open Access</dc:rights>
               <dc:publisher>Institute of Electrical and Electronics Engineers (IEEE)</dc:publisher>
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