IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i24p4689-d295983.html
   My bibliography  Save this article

Optimization of the Alignment Method for an Electric Vehicle Magnetic Field Wireless Power Transfer System Using a Low-Frequency Ferrite Rod Antenna

Author

Listed:
  • Jae Yong Seong

    (Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea)

  • Sang-Sun Lee

    (Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea)

Abstract

The establishment of international and regional standards for electric vehicle (EV) magnetic field wireless power transfer (MF-WPT) systems started in 2010 by the Society of Automotive Engineers (SAE). In the meantime, the EV MF-WPT standardization has been focused on primary device and secondary device topology. Recently, the International Organization for Standardization (ISO), the International Electrotechnical Commission (IEC), and SAE have begun describing the communication and alignment techniques for EV MF-WPT. In this paper, we present a fine positioning method using a low-frequency (LF) signal, as mentioned in IEC 61980 and SAE J2954. Through modeling and simulation, we optimized a LF ferrite rod antenna (FRA) for EV MF-WPT fine positioning. We also found the optimal arrangement of LF-FRAs on primary device and secondary device Finally, we used a test bench to experiment and check the results of our proposal.

Suggested Citation

  • Jae Yong Seong & Sang-Sun Lee, 2019. "Optimization of the Alignment Method for an Electric Vehicle Magnetic Field Wireless Power Transfer System Using a Low-Frequency Ferrite Rod Antenna," Energies, MDPI, vol. 12(24), pages 1-47, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4689-:d:295983
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/24/4689/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/24/4689/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haiyue Wang & Lianwen Deng & Heng Luo & Junsa Du & Daohan Zhou & Shengxiang Huang, 2021. "Microwave Wireless Power Transfer System Based on a Frequency Reconfigurable Microstrip Patch Antenna Array," Energies, MDPI, vol. 14(2), pages 1-12, January.
    2. Jie Wu & Lizhong Bie & Nan Jin & Leilei Guo & Jitao Zhang & Jiagui Tao & Václav Snášel, 2020. "Dual-Frequency Output of Wireless Power Transfer System with Single Inverter Using Improved Differential Evolution Algorithm," Energies, MDPI, vol. 13(9), pages 1-15, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4689-:d:295983. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.