A novel sparse reduced order formulation for modeling electromagnetic forces in electric motors
Article dans une revue avec comité de lecture
Date
2021Journal
SN Applied SciencesAbstract
A novel model order reduction (MOR) technique is presented to achieve fast and real-time predictions as well as high-dimensional parametric solutions for the electromagnetic force which will help the design, analysis of performance and implementation of electric machines concerning industrial applications such as the noise, vibration, and harshness in electric motors. The approach allows to avoid the long-time simulations needed to analyze the electric machine at different operation points. In addition, it facilitates the computation and coupling of the motor model in other physical subsystems. Specifically, we propose a novel formulation of the sparse proper generalized decomposition procedure, combining it with a reduced basis approach, which is used to fit correctly the reduced order model with the numerical simulations as well as to obtain a further data compression. This technique can be applied to construct a regression model from high-dimensional data. These data can come, for example, from finite element simulations. As will be shown, an excellent agreement between the results of the proposed approach and the finite element method models are observed.
Files in this item
Related items
Showing items related by title, author, creator and subject.
-
Article dans une revue avec comité de lectureSANCARLOS, Abel; CAMERON, Morgan; ABEL, Andreas; CUETO, Elias; DUVAL, Jean-Louis; CHINESTA, Francisco (Springer Science and Business Media LLC, 2020)Lithium-ion batteries are widely used in the automobile industry (electric vehicles and hybrid electric vehicles) due to their high energy and power density. However, this raises new safety and reliability challenges which ...
-
Article dans une revue avec comité de lectureSANCARLOS, Abel; DUVAL, Jean-Louis; ZERBIB, Nicolas; CUETO, Elias; CHINESTA, Francisco; GHNATIOS, Chady (MDPI AG, 2021)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 ...
-
Article dans une revue avec comité de lectureIBÁÑEZ PINILLO, Rubén; AMMAR, Amine; CUETO, Elias; HUERTA, Antonio; DUVAL, Jean-Louis; CHINESTA, Francisco (Wiley, 2019)Solutions of partial differential equations could exhibit a multiscale behavior. Standard discretization techniques are constraints to mesh up to the finest scale to predict accurately the response of the system. The ...
-
Article dans une revue avec comité de lectureFRAHI, Tarek; CHINESTA, Francisco; FALCO, Antonio; BADIAS, Alberto; CUETO, Elias; CHOI, Hyung Yun; HAN, Manyong; DUVAL, Jean-Louis (MDPI, 2021)We are interested in evaluating the state of drivers to determine whether they are attentive to the road or not by using motion sensor data collected from car driving experiments. That is, our goal is to design a predictive ...
-
Article dans une revue avec comité de lecturePASQUALE, Angelo; AMMAR, Amine; FALCÓ, Antonio; PEROTTO, Simona; CUETO, Elías; DUVAL, Jean-Louis; CHINESTA, Francisco (Springer Science and Business Media LLC, 2021-11-26)Solutions of partial differential equations can exhibit multiple time scales. Standard discretization techniques are constrained to capture the finest scale to accurately predict the response of the system. In this paper, ...