Real-Time Thermomechanical Modeling of PV Cell Fabrication via a POD-Trained RBF Interpolation Network

Model Reduction by Generalized Falk Method for Efficient Field-Circuit Simulations

“…In the circuit simulator SABER, the parameters for the electrothermal IGBT model are shown in Table 4, based on the values suggested in [61,62]. 20 The simulation results of the shortcircuit test of the IGBT model using the parameters in Table 4 are similar to those in [63]. The GFM transformed model used here also established the efficiency in coupled transistor-thermal simulations.…”

“…[17][18][19], and GFM (Figs. [20][21][22]. The finite-element (FE) discrete model has 368 triangular elements and 215 nodes.…”

“…14-16), and in the GFM (Figs. [20][21][22], is clearly a result of the random starting vectors used in the Lanczos process.…”

“…Such output-power difference would be neglected if we did not incorporate the electro-thermal coupling in the power switching devices into the simulation. 20 See also the default values for the parameters of the n-type IGBT model in the Mathworks Spice circuit simulator. Website.…”

“…Reduced-order models have been developed in many areas of engineering, such as circuits (e.g., [1][2][3][4]), power systems (e.g., [5][6][7]), electromagnetics (e.g., [8][9][10]), fluid mechanics (e.g., [11][12][13]), nonlinear structural mechanics and earthquake engineering (e.g., [14]), nonlinear hydraulic fracturing problems (e.g., [15]), etc., to cite a few. Deep-learning artificial neural networks have been introduced to build on more traditional model-order reduction methods, such as the Proper Orthogonal Decomposition (POD), 1 to increase computational efficiency [16][17][18][19][20][21].…”