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Analysis and Control of Optimal Power Distribution for Multi-Objective Wireless Charging Systems

Author

Listed:
  • Zhen Zhang

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Ruilin Tong

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Zhenyan Liang

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Chunhua Liu

    (School of Energy and Environment, City University of Hong Kong, Hong Kong, China)

  • Jiang Wang

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

Abstract

This paper proposes an optimal power distribution method for multi-objective wireless power transfer (WPT) systems, aiming to improve the transmission flexibility and satisfy various power demands. Previous studies have barely explored the impact of wide-range and unpredictable variations of load parameters on the performance of multi-channel power transmissions. In this paper, by taking the impact of equivalent impedance, motion, power demand variation and response speed of charging object into consideration, an optimal power distribution scheme with fast response, high stability and high accuracy is proposed to satisfy various power demands from multiple objectives including portable electronics, moving electric vehicles (EVs), batteries and super capacitors, without using any communication networks. The effectiveness of the proposed control scheme is demonstrated by simulation results based on different charging cases and experimental results based on a 10 W prototype.

Suggested Citation

  • Zhen Zhang & Ruilin Tong & Zhenyan Liang & Chunhua Liu & Jiang Wang, 2018. "Analysis and Control of Optimal Power Distribution for Multi-Objective Wireless Charging Systems," Energies, MDPI, vol. 11(7), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1726-:d:155622
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    References listed on IDEAS

    as
    1. Yan Lu & Dongsheng Brian Ma, 2016. "Wireless Power Transfer System Architectures for Portable or Implantable Applications," Energies, MDPI, vol. 9(12), pages 1-16, December.
    2. 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.
    3. Chaoqiang Jiang & K. T. Chau & Chunhua Liu & Christopher H. T. Lee, 2017. "An Overview of Resonant Circuits for Wireless Power Transfer," Energies, MDPI, vol. 10(7), pages 1-20, June.
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    Cited by:

    1. Ying Liu & Jiantao Zhang & Chunbo Zhu & Ching Chuen Chan, 2022. "A Study on the Safety Analysis of an Inductive Power Transfer System for Kitchen Appliances," Energies, MDPI, vol. 15(14), pages 1-16, July.
    2. Jiantao Zhang & Ying Liu & Chunbo Zhu & Ching Chuen Chan, 2022. "Unified Design Principles of Inductive Power Transfer Systems for Multi-Load Applications," Energies, MDPI, vol. 15(12), pages 1-15, June.
    3. Linlin Tan & Wenxuan Zhao & Minghao Ju & Han Liu & Xueliang Huang, 2019. "Research on an EV Dynamic Wireless Charging Control Method Adapting to Speed Change," Energies, MDPI, vol. 12(11), pages 1-13, June.

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