Ultra-Fast Power Module Inductance Estimation using Convolutional Neural Networks
2023 IEEE Energy Conversion Congress and Exposition (ECCE)(2023)
摘要
The widespread usage of wide bandgap (WBG) semiconductors forces extra emphasis on the early estimation of the layout parasitic elements. Be it a printed circuit board or a power module, layout optimization is necessary to minimize the negative effects of present inductances. Unfortunately, multiple invocations of inductance extraction software can be time-consuming. In this work, state-of-the-art convolutional neural networks (CNN) are applied in order to lower the time consumption of inductance estimation without compromising the accuracy.
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关键词
inductance extraction,power module,printed circuit board,neural networks,layout optimization
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