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Adaptive Smart Control Method for Electric Vehicle Wireless Charging System

Author

Listed:
  • Lingbing Gong

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

  • Chunyan Xiao

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

  • Bin Cao

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

  • Yuliang Zhou

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

Abstract

In order to shorten the wireless charging time of electric vehicles (EVs) and achieve stable charging, an adaptive smart control method for EV wireless charging is proposed in the paper. The method dynamically tracks the rechargeable battery state during the whole charging process, realizes multi-stage charging of constant current (CC) or constant voltage (CV) by switching two kinds of compensation networks of bilateral L3C and L3C-C, and regulates the charging voltage and current to make it as close as possible to the battery charging characteristic curve. This method can be implemented because the voltage source connected to the coupler and the compensation networks of bilateral L3C and L3C-C have the CC and CV source characteristics, respectively. On the basis of the established adaptive smart control system of EV wireless charging, the experiments of wireless data transmission and adaptive smart charging were conducted. The results showed that the designed control system had a response time of less than 200 ms and strong anti-interference ability and it shortened the charging time by about 16% compared with the time using traditional charging methods, thereby achieving a fast, stable, safe, and complete wireless charging process.

Suggested Citation

  • Lingbing Gong & Chunyan Xiao & Bin Cao & Yuliang Zhou, 2018. "Adaptive Smart Control Method for Electric Vehicle Wireless Charging System," Energies, MDPI, vol. 11(10), pages 1-13, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2685-:d:174373
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    References listed on IDEAS

    as
    1. 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.
    2. Muhammad Aziz & Takuya Oda & Takashi Mitani & Yoko Watanabe & Takao Kashiwagi, 2015. "Utilization of Electric Vehicles and Their Used Batteries for Peak-Load Shifting," Energies, MDPI, vol. 8(5), pages 1-19, April.
    3. Chunlin Guo & Jingjing Yang & Lin Yang, 2018. "Planning of Electric Vehicle Charging Infrastructure for Urban Areas with Tight Land Supply," Energies, MDPI, vol. 11(9), pages 1-17, September.
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