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Technical Dialogue

Parasitics Extraction and Optimization

D17.1 - Conveniently Identify Coils in Inductive Power Transfer System using Machine Learning

Thursday, March 20, 2025
11:30 AM – 1:30 PM ET
Location: Level One, Hall A3
High-frequency inductive power transfer (IPT) has garnered significant attention in recent years due to its long transmission distance and high efficiency. The inductance values (L) and quality factors (Q) of the transmitting and receiving coils greatly influence the system's operation. Traditional methods involved impedance analyzers or network analyzers for measurement, which required bulky and costly equipment. Moreover, once the product was packaged, disassembling it for re-measurement was impractical. This work firstly employs a machine learning approach, where simply inputting images of the coils and operating frequency into a well-trained model enables rapid identification of the coil's L and Q values anytime and anywhere, without the need for expensive machinery or coil disassembly.