LAPSE:2023.15318
Published Article
LAPSE:2023.15318
Genetic-Algorithm-Based Optimization of a 3D Transmitting Coil Design with a Homogeneous Magnetic Field Distribution in a WPT System
March 2, 2023
In magnetically coupled resonant wireless power transfer (MCR-WPT) systems, the nonhomogeneous magnetic field of the transmitting coil can lead to frequency splitting phenomena and lower efficiency. In this paper, a 3D transmitting coil (TX) with a homogeneous magnetic field distribution is proposed. The proposed coil structure consists of two layers with different numbers of turns per layer, i.e., with different current distributions. To achieve a homogeneous magnetic field distribution with a high magnetic field value and a low profile of the 3D coil structure, the optimal layer placement and current distribution were optimized using a genetic algorithm (GA). The prototype of the optimized coil was fabricated, and its magnetic field distribution was measured. The measurement results agreed more than 95% with the simulation results. The measured homogeneous area was at least 12.5% larger than reported in the literature. By using a different current distribution, the profile of the 3D coil structure was successfully reduced by 29% and the average magnetic field value was increased by 25% compared to our previous work.
Record ID
Keywords
3D transmitting coil design, Genetic Algorithm, homogeneous magnetic field, Optimization, wireless power transfer
Subject
Suggested Citation
Bilandžija D, Vinko D, Barukčić M. Genetic-Algorithm-Based Optimization of a 3D Transmitting Coil Design with a Homogeneous Magnetic Field Distribution in a WPT System. (2023). LAPSE:2023.15318
Author Affiliations
Bilandžija D: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia [ORCID]
Vinko D: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia [ORCID]
Barukčić M: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia [ORCID]
Vinko D: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia [ORCID]
Barukčić M: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia [ORCID]
Journal Name
Energies
Volume
15
Issue
4
First Page
1381
Year
2022
Publication Date
2022-02-14
Published Version
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15041381, Publication Type: Journal Article
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LAPSE:2023.15318
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doi:10.3390/en15041381
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[v1] (Original Submission)
Mar 2, 2023
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Mar 2, 2023
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