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Partition-based approach to parametric dynamic compact thermal modeling

机译:基于分区的参数动态紧凑热建模方法

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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. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文介绍了三种具有受控精度和用户选择精度的参数动态紧凑热模型(DCTM)的提取程序,即(i)通过直接常规方法获得的具有密集矩阵的DCTM,(ii)基于分区的方法导致适用于因大量独立热源和/或参数而导致的导热问题的稀疏DCTM,为此,提取传统的密集DCTM可能对资源的需求太高,甚至不可行;(iii)快速翻译的新颖算法将稀疏的DCTM变成密集的DCTM,这可以减少仿真时间。通过将其应用到两个最新的电子系统中,对所提出的方法进行了验证。 (C)2017 Elsevier Ltd.保留所有权利。

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