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Reconfigurable DDP-type transmitter coil for electric vehicle wireless charging under misaligned conditions

  • Wen, Feng (School of Automation, Nanjing University of Science and Technology) ;
  • Li, Qiang (School of Automation, Nanjing University of Science and Technology) ;
  • Li, Rui (School of Automation, Nanjing University of Science and Technology) ;
  • Liu, Ling (MIGU Co., Ltd, Subsidiary of China Mobile) ;
  • Wang, Tao (School of Automation, Nanjing University of Science and Technology) ;
  • Liu, Li (School of Automation, Nanjing University of Science and Technology) ;
  • Wu, Tao (Jiangsu Frontier Electric Power Technology Co., Ltd) ;
  • Li, Yuxiao (School of Automation, Nanjing University of Science and Technology)
  • Received : 2019.05.23
  • Accepted : 2019.09.06
  • Published : 2020.01.20

Abstract

This paper presents a new type of a transmitter coil for wireless power transfer (WPT) to assist in the achievement of a constant output power and in the reduction of magnetic field leakage under misaligned electric vehicle (EV) wireless-charging conditions. The proposed DDP coil is an improvement upon the conventional DD coil and can be adaptively reconfigured depending on the misalignment of different sizes or types of receiver coils. The reconfigurable resonant circuit is designed to compensate various coil structures and to maintain a high-energy efficiency. The reconfiguration strategy is presented by studying the characteristics of the magnetic field and mutual inductance of the coils. A precise human anatomic model and a full-scale Tesla EV model are built to evaluate the magnetic field leakage and human exposure to the WPT system. Simulation results show that the power transfer efficiency (PTE) reaches 99.16% and that the maximum electric field induced in humans is -1.11 dBV/m, while the transfer power is 6.6 kW with a 12 cm lateral offset on both the x-axis and y-axis. The effectiveness of the proposed type of transmitter coil is verified through simulation and experimental results.

Keywords

Acknowledgement

This work was supported by the Basic Research Program of Jiangsu Province (No. BK20180485), Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Project, and the Fundamental Research Funds for the Central Universities (No. 30919011241).

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