Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

Improvement of wireless power transfer (WPT) systems is necessary to tackle issues of power transfer efficiency, high costs due to sensor and communication requirements between the transmitter (Tx) and receiver (Rx), and maintenance problems. Analytical techniques and hardware-based synchronization...

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Bibliographic Details
Main Authors: Minhyuk Kim, Wend Yam Ella Flore Niada, Sangwook Park
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
wireless power transfer
impedance matching
machine learning
load resistance estimation
coupling coefficient estimation
Online Access:https://www.mdpi.com/1424-8220/24/2/501

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