Circuit AI for Bill of Materials, Switching Loss Optimization, Capacitor RMS Estimation, and More | IEEE Journals & Magazine | IEEE Xplore

Circuit AI for Bill of Materials, Switching Loss Optimization, Capacitor RMS Estimation, and More


Abstract:

Circuit AI is an advanced generative AI-driven tool designed to streamline electronic design by integrating bill of materials (BOM) optimization with advanced performance...Show More

Abstract:

Circuit AI is an advanced generative AI-driven tool designed to streamline electronic design by integrating bill of materials (BOM) optimization with advanced performance analysis. Leveraging a pretrained large language model, it automates tasks such as switching loss analysis, component availability checks, and cost optimization, significantly enhancing the efficiency of BOM workflows. Additionally, Circuit AI incorporates a fine-tuned version of the pretrained model to estimate capacitor RMS currents (I cap-rms), a critical performance metric for ensuring reliable thermal operation and prolonging component lifespan in power electronics applications. By seamlessly combining BOM optimization with performance evaluation, Circuit AI supports engineers in making more efficient decisions throughout the design process, from initial selection to final production.
Published in: IEEE Power Electronics Magazine ( Volume: 12, Issue: 1, March 2025)
Page(s): 64 - 74
Date of Publication: 27 February 2025

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