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Multiparameter Model Order Reduction for Thermal Modeling of Power Electronics

机译:电力电子热建模的多道琼布模型顺序降低

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In this article, a multiparameter model order reduction (MOR) is applied to the thermal modeling and simulation of power electronics modules and air cooling systems. Although widely employed, simulation tools based on finite elements (FE) or finite difference methods result in computationally expensive models that hamper the analysis in studies where one or more parameters are changed. MOR techniques can be applied to reduce the computational complexity. However, standard reduction techniques cannot easily consider parameters variability and need to be reapplied for each parameter value. This article proposes a multiparameter order reduction technique that can significantly improve the thermal simulation efficiency without having a significant impact on the prediction accuracy. The method is applied to multichip SiC power module mounted on a forced air-cooled finned heatsink with variable air flow.
机译:在本文中,将多游ameter模型顺序减少(MOR)应用于电力电子模块和空气冷却系统的热建筑和仿真。虽然广泛采用了基于有限元(FE)或有限差异方法的仿真工具,但导致计算昂贵的模型,妨碍在改变一个或多个参数的研究中的分析。可以应用MOR技术来降低计算复杂性。但是,标准减少技术不能轻易考虑参数可变性,并且需要重新申请每个参数值。本文提出了一种多次秩序减少技术,可以显着提高热模拟效率而不会对预测精度产生重大影响。该方法应用于安装在具有可变空气流的强制空气冷却的翅片散热器上的多芯片SiC电源模块。

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