Lorenzo Codecasa, Vincenzo d'Alessandro, Alessandro Magnani, Niccolò Rinaldi, Andre G. Metzger, Robin Bornoff, John Parry
Abstract This paper presents three procedures for the extraction of parametric Dynamic Compact Thermal Models (DCTMs) with controlled and user-chosen accuracy, namely, (i) a DCTM with dense matrices obtained by a direct conventional method, (ii) a partition-based approach leading to a sparse DCTM suited for heat conduction problems suffering from a massive number of independent heat sources and/or parameters, for which extracting conventional dense DCTMs may be too resource-demanding or even unviable, and (iii) a novel algorithm that quickly translates a sparse DCTM into a dense one, which allows reducing the simulation time. The proposed methodologies are validated through the application to two state-of-the-art electronics systems.
© 2001-2024 Fundación Dialnet · Todos los derechos reservados