Compact nonlinear thermal modeling of packaged integrated systems

Zao Liu, S. Tan, Hai Wang, S. Swarup, Ashish Gupta
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引用次数: 8

Abstract

This paper proposes a new thermal nonlinear modeling technique for packaged integrated systems. Thermal behavior of complicated systems like packaged electronic systems may exhibit nonlinear and temperature dependent properties. As a result, it is difficult to use a low order linear model to approximate the thermal behavior of the packaged integrated systems without accuracy loss. In this paper, we try to mitigate this problem by using piecewise linear (PWL) approach to characterizing the thermal behavior of those systems. The new method (called ThermSubPWL), which is the first proposed approach to nonlinear thermal modeling problem, identifies the linear local models for different temperature ranges using the subspace identification method. A linear transformation method is proposed to transform all the identified linear local models to the common state basis to build the continuous piecewise linear model. Experimental results validate the proposed method on a realistic packaged integrated system modeled via the multi-domain/physics commercial tool, COMSOL, under practical power signal inputs. The new piecewise models can lead to much smaller model order without accuracy loss, which translates to significant savings in both the simulation time and the time required to identify the reduced models compared to applying the high order models.
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封装集成系统的紧凑非线性热建模
提出了一种新的封装集成系统热非线性建模技术。像封装电子系统这样的复杂系统的热行为可能表现出非线性和温度相关的性质。因此,在不损失精度的情况下,很难用低阶线性模型来近似封装集成系统的热行为。在本文中,我们试图通过使用分段线性(PWL)方法来表征这些系统的热行为来缓解这个问题。该方法采用子空间识别方法识别不同温度范围的线性局部模型,是首次提出的非线性热建模方法。提出了一种线性变换方法,将所有已识别的线性局部模型转换为公共状态基,构建连续分段线性模型。实验结果验证了该方法在实际功率信号输入下的有效性,该方法是通过多域/物理商业工具COMSOL建模的实际封装集成系统。新的分段模型可以在没有精度损失的情况下产生更小的模型阶数,与应用高阶模型相比,这可以显著节省模拟时间和识别简化模型所需的时间。
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