000110590 001__ 110590
000110590 005__ 20230519145612.0
000110590 0247_ $$2doi$$a10.3390/en14051454
000110590 0248_ $$2sideral$$a127294
000110590 037__ $$aART-2021-127294
000110590 041__ $$aeng
000110590 100__ $$aSancarlos A.
000110590 245__ $$aFast computation of multi-parametric electromagnetic fields in synchronous machines by using pgd-based fully separated representations
000110590 260__ $$c2021
000110590 5060_ $$aAccess copy available to the general public$$fUnrestricted
000110590 5203_ $$aA novel Model Order Reduction (MOR) technique is developed to compute high-dimensional parametric solutions for electromagnetic fields in synchronous machines. Specifically, the intrusive version of the Proper Generalized Decomposition (PGD) is employed to simulate a Permanent-Magnet Synchronous Motor (PMSM). The result is a virtual chart allowing real-time evaluation of the magnetic vector potential as a function of the operation point of the motor, or even as a function of constructive parameters, such as the remanent flux in permanent magnets. Currently, these solutions are highly demanded by the industry, especially with the recent developments in the Electric Vehicle (EV). In this framework, standard discretization techniques require highly time-consuming simulations when analyzing, for instance, the noise and vibration in electric motors. The proposed approach is able to construct a virtual chart within a few minutes of off-line simulation, thanks to the use of a fully separated representation in which the solution is written from a series of functions of the space and parameters coordinates, with full space separation made possible by the use of an adapted geometrical mapping. Finally, excellent performances are reported when comparing the reduced-order model with the more standard and computationally costly Finite Element solutions. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
000110590 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000110590 590__ $$a3.252$$b2021
000110590 592__ $$a0.653$$b2021
000110590 594__ $$a5.0$$b2021
000110590 591__ $$aENERGY & FUELS$$b80 / 119 = 0.672$$c2021$$dQ3$$eT3
000110590 593__ $$aEnergy (miscellaneous)$$c2021$$dQ1
000110590 593__ $$aEnergy Engineering and Power Technology$$c2021$$dQ1
000110590 593__ $$aFuel Technology$$c2021$$dQ1
000110590 593__ $$aControl and Optimization$$c2021$$dQ1
000110590 593__ $$aEngineering (miscellaneous)$$c2021$$dQ1
000110590 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000110590 700__ $$aGhnatios C.
000110590 700__ $$aDuval J.-L.
000110590 700__ $$aZerbib N.
000110590 700__ $$0(orcid)0000-0003-1017-4381$$aCueto Prendes, E.$$uUniversidad de Zaragoza
000110590 700__ $$aChinesta F.
000110590 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000110590 773__ $$g14, 5 (2021), 1454 [17 pp]$$pENERGIES$$tEnergies$$x1996-1073
000110590 8564_ $$s3490496$$uhttps://zaguan.unizar.es/record/110590/files/texto_completo.pdf$$yVersión publicada
000110590 8564_ $$s2610452$$uhttps://zaguan.unizar.es/record/110590/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000110590 909CO $$ooai:zaguan.unizar.es:110590$$particulos$$pdriver
000110590 951__ $$a2023-05-18-16:08:37
000110590 980__ $$aARTICLE