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Research on an EV Dynamic Wireless Charging Control Method Adapting to Speed Change

Author

Listed:
  • Linlin Tan

    (Department of Electrical Engineering, Southeast University, NO. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

  • Wenxuan Zhao

    (Department of Electrical Engineering, Southeast University, NO. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

  • Minghao Ju

    (Shanghai Aerospace Control Technology Institute, No.1555, Zhongchun Road, Minhang District, Shanghai 221116, China)

  • Han Liu

    (Department of Electrical Engineering, Southeast University, NO. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

  • Xueliang Huang

    (Department of Electrical Engineering, Southeast University, NO. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

Abstract

In order to solve the problem of the electric vehicle (EV) charging amount fluctuation caused by the variation of driving speed during dynamic wireless charging, this paper proposes an EV dynamic wireless charging control method adapting to speed change. Firstly, a dynamic wireless charging model based on a long-track transmitting coil is established, and the expression of the charging power of each load under multi-load situation is obtained. Secondly, the influence of the EV charging number and maximum driving speed on the range of system parameters is studied. Subsequently, the method for determining the load resistance value according to the driving speed under a multi-EV charging condition is further discussed. Afterwards, a charging power control method adapting to the speed variation by load adjustment is proposed. By adjusting the equivalent load of the variable-speed charging EV, its speed variation range can reach 20~60 km/h, while the remaining EVs’ charging power fluctuation range can be kept within 10%~15%. Finally, the experimental prototype is built to verify the above-mentioned control method.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2214-:d:238773
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    References listed on IDEAS

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    1. Rahman, Imran & Vasant, Pandian M. & Singh, Balbir Singh Mahinder & Abdullah-Al-Wadud, M. & Adnan, Nadia, 2016. "Review of recent trends in optimization techniques for plug-in hybrid, and electric vehicle charging infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1039-1047.
    2. Sun, Longzhao & Ma, Dianguang & Tang, Houjun, 2018. "A review of recent trends in wireless power transfer technology and its applications in electric vehicle wireless charging," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 490-503.
    3. 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.
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    Cited by:

    1. Eiman ElGhanam & Mohamed Hassan & Ahmed Osman, 2021. "Design of a High Power, LCC-Compensated, Dynamic, Wireless Electric Vehicle Charging System with Improved Misalignment Tolerance," Energies, MDPI, vol. 14(4), pages 1-26, February.
    2. Osamu Shimizu & Sakahisa Nagai & Toshiyuki Fujita & Hiroshi Fujimoto, 2020. "Potential for CO 2 Reduction by Dynamic Wireless Power Transfer for Passenger Vehicles in Japan," Energies, MDPI, vol. 13(13), pages 1-16, June.

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