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Control Strategy for Vehicle Inductive Wireless Charging Based on Load Adaptive and Frequency Adjustment

Author

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  • Shichun Yang

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

  • Xiaoyu Yan

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

  • Hong He

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

  • Peng Yang

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

  • Zhaoxia Peng

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

  • Haigang Cui

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

Abstract

Wireless charging system for electric vehicles is a hot research issue in the world today. Since the existing research on wireless charging is mostly forward-looking aimed at low-power appliances like household appliances, while electric vehicles need a high-power, high-efficiency, and strong coupling wireless charging system. In this paper, we have specifically designed a 6.6 KW wireless charging system for electric vehicles and have proposed a control strategy suitable for electric vehicles according to its power charging characteristics and existing common wired charging protocol. Firstly, the influence of the equivalent load and frequency bifurcation on a wireless charging system is analyzed in this paper. Secondly, an adaptive load control strategy matching the characteristics of the battery, and the charging pile is put forward to meet the constant current and constant voltage charging requirements to improve the system efficiency. In addition, the frequency adjustment control strategy is designed to realize the real-time dynamic optimization of the entire system. It utilizes the improved methods of rapid judgment, variable step length matching and frequency splitting recognition, which are not adopted in early related researches. Finally, the results of 6.6 kW test show that the control strategy works perfectly since system response time can be reduced to less than 1 s, and the overall efficiency of the wireless charging system and the grid power supply module can reach up to 91%.

Suggested Citation

  • Shichun Yang & Xiaoyu Yan & Hong He & Peng Yang & Zhaoxia Peng & Haigang Cui, 2018. "Control Strategy for Vehicle Inductive Wireless Charging Based on Load Adaptive and Frequency Adjustment," Energies, MDPI, vol. 11(5), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1222-:d:145637
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    References listed on IDEAS

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    1. Thuc Phi Duong & Jong-Wook Lee, 2015. "A Dynamically Adaptable Impedance-Matching System for Midrange Wireless Power Transfer with Misalignment," Energies, MDPI, vol. 8(8), pages 1-25, July.
    2. Yuyu Geng & Bin Li & Zhongping Yang & Fei Lin & Hu Sun, 2017. "A High Efficiency Charging Strategy for a Supercapacitor Using a Wireless Power Transfer System Based on Inductor/Capacitor/Capacitor (LCC) Compensation Topology," Energies, MDPI, vol. 10(1), pages 1-17, January.
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    Cited by:

    1. Rui Xiong & Suleiman M. Sharkh & Xi Zhang, 2018. "Research Progress on Electric and Intelligent Vehicles," Energies, MDPI, vol. 11(7), pages 1-5, July.
    2. Li, Feng & Li, Yanjie & Zhou, Siqi & Chen, Yifang & Sun, Xuan & Deng, Yutong, 2022. "Wireless power transfer tuning model of electric vehicles with pavement materials as transmission media for energy conservation," Applied Energy, Elsevier, vol. 323(C).

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