LAPSE:2023.23573
Published Article

LAPSE:2023.23573
A Metal Object Detection System with Multilayer Detection Coil Layouts for Electric Vehicle Wireless Charging
March 27, 2023
Abstract
Non-radiative inductive power transfer is one of the most studied and commercially applied wireless charging technologies, where the magnetic field is employed as the medium for power transfer. In the wireless charging of electric vehicles, the strong magnetic field will heat up any metal items falling in the charging area due to eddy current induced in the metal objects, causing hazards like fire. Metal object detection (MOD) is necessary for the market penetration of inductive power transfer technology. This paper aims to improve the performance of systems that detect metal objects based on inductance variations. Two novel multi-layer detection coil layouts are proposed, which can not only cover the entire charging area without blind spots but can also be decoupled from the transmitter and receiver to minimize the influence of the magnetic field that is used for power transfer. Two mixed resonant circuits are proposed and proven to have better performance than parallel and series resonance. The impacts of the detection coil layer, trace width, and turn-number are investigated. The test results indicate that the MOD system can detect one-cent coins at various positions of the detection coil printed circuit board, and can also detect various inductance variations without blind spots in the processing circuit.
Non-radiative inductive power transfer is one of the most studied and commercially applied wireless charging technologies, where the magnetic field is employed as the medium for power transfer. In the wireless charging of electric vehicles, the strong magnetic field will heat up any metal items falling in the charging area due to eddy current induced in the metal objects, causing hazards like fire. Metal object detection (MOD) is necessary for the market penetration of inductive power transfer technology. This paper aims to improve the performance of systems that detect metal objects based on inductance variations. Two novel multi-layer detection coil layouts are proposed, which can not only cover the entire charging area without blind spots but can also be decoupled from the transmitter and receiver to minimize the influence of the magnetic field that is used for power transfer. Two mixed resonant circuits are proposed and proven to have better performance than parallel and series resonance. The impacts of the detection coil layer, trace width, and turn-number are investigated. The test results indicate that the MOD system can detect one-cent coins at various positions of the detection coil printed circuit board, and can also detect various inductance variations without blind spots in the processing circuit.
Record ID
Keywords
inductance variation, inductive power transfer, metal object detection, multi-layer detection coil, wireless charging
Subject
Suggested Citation
Cheng B, Lu J, Zhang Y, Pan G, Chabaan R, Mi CC. A Metal Object Detection System with Multilayer Detection Coil Layouts for Electric Vehicle Wireless Charging. (2023). LAPSE:2023.23573
Author Affiliations
Cheng B: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA; School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Lu J: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA; School of Electrical Engineering, Wuhan University of Technology, Wuhan 430070, China
Zhang Y: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
Pan G: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Chabaan R: Hyundai-Kia America Technical Center, Inc., Superior Township, MI 48198, USA
Mi CC: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA [ORCID]
Lu J: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA; School of Electrical Engineering, Wuhan University of Technology, Wuhan 430070, China
Zhang Y: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
Pan G: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Chabaan R: Hyundai-Kia America Technical Center, Inc., Superior Township, MI 48198, USA
Mi CC: Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA [ORCID]
Journal Name
Energies
Volume
13
Issue
11
Article Number
E2960
Year
2020
Publication Date
2020-06-09
ISSN
1996-1073
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Original Submission
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PII: en13112960, Publication Type: Journal Article
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LAPSE:2023.23573
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https://doi.org/10.3390/en13112960
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Mar 27, 2023
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