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http://dx.doi.org/10.5515/KJKIEES.2019.30.1.38

A Study on Fingerprint-Based Coil Alignment Improvement Technique for Magnetic Resonant Wireless Power Transfer System  

Kim, Sungjae (Department of Electronics, Information and Communication Engineering, Konkuk University)
Lee, Euibum (Department of Electronics, Information and Communication Engineering, Konkuk University)
Ku, Hyunchul (Department of Electronics, Information and Communication Engineering, Konkuk University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.30, no.1, 2019 , pp. 38-44 More about this Journal
Abstract
This paper proposes fingerprint-based positioning methods which can be used in a magnetic resonant wireless power transfer(WPT) system and verifies their performance. A new receiver coil with small orthogonal auxiliary coils is proposed to measure magnetic field signals in three axial directions. The magnitude and phase characteristics of the three-axis electromotive force can be obtained by using the proposed coil. To predict a position with the measured values, we propose a lookup table-based method and linear discriminant analysis-based method. For verification, the proposed methods are applied to predict 75 positions of the 6.78 MHz WPT system, and the performances such as accuracy and computation time are compared.
Keywords
Positioning Method; Machine Learning; Wireless Power Transfer; Time-Varying Magnetic Field;
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