IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i5p688-d98552.html
   My bibliography  Save this article

New Insight of Maximum Transferred Power by Matching Capacitance of a Wireless Power Transfer System

Author

Listed:
  • Chunyan Xiao

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Yufeng Liu

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Dingning Cheng

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Kangzheng Wei

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

Abstract

Most research on wireless power transfer (WPT) has been focused on how to achieve a high-efficiency power transfer. Our study found that under the impedance matching for achieving maximum WPT efficiency, the power transferred to the load cannot reach the maximum when a WPT system is supplied by an AC voltage source with constant amplitude. However, the load power or the voltage across the load is essential for a low-power electric device such as the implanted medical device where the transfer efficiency is not the priority to be considered. The paper presents a method for achieving maximum power on the load by matching capacitance in a WPT system with given two-coupled-coils. Three sets of matching capacitances for extreme load power were deduced based on the circuit model considering the coil's resistance, and all these three matching make the WPT system operate at the resonant state. Two sets can make the system achieve the global maximum of load power. One set can make the system achieve the local maximum of load power and reach the power transfer efficiency next to 1. Experimental results verified the theoretical calculations. The results can contribute to the compensation design of a practical WPT system for transferring the maximum power to the load.

Suggested Citation

  • Chunyan Xiao & Yufeng Liu & Dingning Cheng & Kangzheng Wei, 2017. "New Insight of Maximum Transferred Power by Matching Capacitance of a Wireless Power Transfer System," Energies, MDPI, vol. 10(5), pages 1-11, May.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:688-:d:98552
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/5/688/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/5/688/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Xin Dai & Xiaofei Li & Yanling Li & Pengqi Deng & Chunsen Tang, 2017. "A Maximum Power Transfer Tracking Method for WPT Systems with Coupling Coefficient Identification Considering Two-Value Problem," Energies, MDPI, vol. 10(10), pages 1-13, October.
    2. Narayanamoorthi R. & Vimala Juliet A. & Bharatiraja Chokkalingam & Sanjeevikumar Padmanaban & Zbigniew M. Leonowicz, 2017. "Class E Power Amplifier Design and Optimization for the Capacitive Coupled Wireless Power Transfer System in Biomedical Implants," Energies, MDPI, vol. 10(9), pages 1-20, September.
    3. Yanting Luo & Yongmin Yang & Xisen Wen & Ming Cheng, 2018. "Enhancing the Robustness of the Wireless Power Transfer System to Uncertain Parameter Variations Using an Interval-Based Uncertain Optimization Method," Energies, MDPI, vol. 11(8), pages 1-18, August.
    4. Alicia Triviño-Cabrera & Zhengyu Lin & José A. Aguado, 2018. "Impact of Coil Misalignment in Data Transmission over the Inductive Link of an EV Wireless Charger," Energies, MDPI, vol. 11(3), pages 1-11, March.
    5. Li Zhai & Yu Cao & Liwen Lin & Tao Zhang & Steven Kavuma, 2018. "Mitigation Conducted Emission Strategy Based on Transfer Function from a DC-Fed Wireless Charging System for Electric Vehicles," Energies, MDPI, vol. 11(3), pages 1-17, February.

    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:10:y:2017:i:5:p:688-:d:98552. 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.