Multiparameter Model Order Reduction for Thermal Modeling of Power Electronics

被引:8
|
作者
Dong, Xiaojun [1 ]
Griffo, Antonio [2 ,3 ]
Wang, Jiabin [3 ,4 ]
机构
[1] Univ Sheffield, Elect & Elect Engn, Sheffield S10 2TN, S Yorkshire, England
[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S10 2TN, S Yorkshire, England
[3] Univ Sheffield, Sheffield S10 2TN, S Yorkshire, England
[4] Univ Sheffield, Elect Engn, Sheffield S10 2TN, S Yorkshire, England
基金
欧盟地平线“2020”;
关键词
Atmospheric modeling; Computational modeling; Heating systems; Power electronics; Heat transfer; Mathematical model; Multichip modules; Air cooling; finite difference method (FDM); multiparameter model order reduction (MOR); power electronics; thermal modeling; PARAMETER; NETWORKS;
D O I
10.1109/TPEL.2020.2965248
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:8550 / 8558
页数:9
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