110590 20230519145612.0 doi 10.3390/en14051454 sideral 127294 ART-2021-127294 eng Sancarlos A. Fast computation of multi-parametric electromagnetic fields in synchronous machines by using pgd-based fully separated representations 2021 Access copy available to the general public Unrestricted A 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. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.252 2021 ENERGY & FUELS 80 / 119 = 0.672 2021 Q3 T3 0.653 2021 Energy (miscellaneous) 2021 Q1 Energy Engineering and Power Technology 2021 Q1 Fuel Technology 2021 Q1 Control and Optimization 2021 Q1 Engineering (miscellaneous) 2021 Q1 5.0 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ghnatios C. Duval J.-L. Zerbib N. Cueto Prendes, E. Universidad de Zaragoza (orcid)0000-0003-1017-4381 Chinesta F. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 14, 5 (2021), 1454 [17 pp] ENERGIES Energies 1996-1073 3490496 http://zaguan.unizar.es/record/110590/files/texto_completo.pdf Versión publicada 2610452 http://zaguan.unizar.es/record/110590/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:110590 articulos driver 2023-05-18-16:08:37 ARTICLE