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A Maximum Power Transfer Tracking Method for WPT Systems with Coupling Coefficient Identification Considering Two-Value Problem

Author

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  • Xin Dai

    (College of Automation, Chongqing University, Chongqing 400044, China)

  • Xiaofei Li

    (College of Automation, Chongqing University, Chongqing 400044, China)

  • Yanling Li

    (College of Automation, Chongqing University, Chongqing 400044, China)

  • Pengqi Deng

    (College of Automation, Chongqing University, Chongqing 400044, China)

  • Chunsen Tang

    (College of Automation, Chongqing University, Chongqing 400044, China)

Abstract

Maximum power transfer tracking (MPTT) is meant to track the maximum power point during the system operation of wireless power transfer (WPT) systems. Traditionally, MPTT is achieved by impedance matching at the secondary side when the load resistance is varied. However, due to a loosely coupling characteristic, the variation of coupling coefficient will certainly affect the performance of impedance matching, therefore MPTT will fail accordingly. This paper presents an identification method of coupling coefficient for MPTT in WPT systems. Especially, the two-value issue during the identification is considered. The identification approach is easy to implement because it does not require additional circuit. Furthermore, MPTT is easy to realize because only two easily measured DC parameters are needed. The detailed identification procedure corresponding to the two-value issue and the maximum power transfer tracking process are presented, and both the simulation analysis and experimental results verified the identification method and MPTT.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1665-:d:115790
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    References listed on IDEAS

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    1. 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.
    2. Aqeel Mahmood Jawad & Rosdiadee Nordin & Sadik Kamel Gharghan & Haider Mahmood Jawad & Mahamod Ismail, 2017. "Opportunities and Challenges for Near-Field Wireless Power Transfer: A Review," Energies, MDPI, vol. 10(7), pages 1-28, July.
    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.
    4. Xin Dai & Jincheng Jiang & Yanling Li & Ting Yang, 2017. "A Phase-Shifted Control for Wireless Power Transfer System by Using Dual Excitation Units," Energies, MDPI, vol. 10(7), pages 1-16, July.
    5. Xuezhe Wei & Zhenshi Wang & Haifeng Dai, 2014. "A Critical Review of Wireless Power Transfer via Strongly Coupled Magnetic Resonances," Energies, MDPI, vol. 7(7), pages 1-26, July.
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    Cited by:

    1. Tianqing Li & Xiangzhou Wang & Shuhua Zheng & Chunhua Liu, 2018. "An Efficient Topology for Wireless Power Transfer over a Wide Range of Loading Conditions," Energies, MDPI, vol. 11(1), pages 1-16, January.
    2. 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.
    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. Ahmed A. S. Mohamed & Ahmed A. Shaier & Hamid Metwally & Sameh I. Selem, 2022. "An Overview of Dynamic Inductive Charging for Electric Vehicles," Energies, MDPI, vol. 15(15), pages 1-59, August.
    5. Xiaochen Zhang & Xiaona Wang & Pan Sun & Jun Sun & Jin Cai, 2023. "Mutual and Self-Inductance Variation in Misaligned Coupler of Inductive Power Transfer System: Mechanism, Influence, and Solutions," Energies, MDPI, vol. 16(13), pages 1-16, July.
    6. 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.

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