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A Metal Object Detection System with Multilayer Detection Coil Layouts for Electric Vehicle Wireless Charging

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  • Bo Cheng

    (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)

  • Jianghua Lu

    (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)

  • Yiming Zhang

    (Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA)

  • Guang Pan

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China)

  • Rakan Chabaan

    (Hyundai-Kia America Technical Center, Inc., Superior Township, MI 48198, USA)

  • Chunting Chris Mi

    (Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA)

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.

Suggested Citation

  • Bo Cheng & Jianghua Lu & Yiming Zhang & Guang Pan & Rakan Chabaan & Chunting Chris Mi, 2020. "A Metal Object Detection System with Multilayer Detection Coil Layouts for Electric Vehicle Wireless Charging," Energies, MDPI, vol. 13(11), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2960-:d:369140
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    References listed on IDEAS

    as
    1. Bi, Zicheng & Kan, Tianze & Mi, Chunting Chris & Zhang, Yiming & Zhao, Zhengming & Keoleian, Gregory A., 2016. "A review of wireless power transfer for electric vehicles: Prospects to enhance sustainable mobility," Applied Energy, Elsevier, vol. 179(C), pages 413-425.
    2. Cheng Jiang & Yue Sun & Zhihui Wang & Chunsen Tang, 2018. "Multi-Load Mode Analysis for Electric Vehicle Wireless Supply System," Energies, MDPI, vol. 11(8), pages 1-11, July.
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    Cited by:

    1. Xian Zhang & Yanan Ren & Lin Sha & Qingxin Yang & Xuejing Ni & Fengxian Wang, 2020. "Analysis of Dynamic Characteristics of Foreign Metal Objects under Electromagnetic Force in High-Power Wireless Power Transfer," Energies, MDPI, vol. 13(15), pages 1-15, July.
    2. Ying Sun & Tian Zhou & Jinhai Jiang & Guo Wei & Chunbo Zhu & Kai Song, 2023. "High-Sensitivity Detection Method for Metal Foreign Objects Based on Frequency Optimization in Wireless Electric Vehicles Charging," Energies, MDPI, vol. 16(2), pages 1-20, January.
    3. Fei Lu & Chong Zhu, 2022. "Advanced Wireless Power Transfer Technologies," Energies, MDPI, vol. 15(9), pages 1-2, April.

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