Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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22 kW high-efficiency IPT system for wireless charging of electric vehicles

  • Jeong‑Uk Park (Department of Electrical Engineering, Myongji University) ;
  • Ji‑Min Oh (Department of Electrical Engineering, Myongji University) ;
  • Young‑Han Bok (Department of Electrical Engineering, Myongji University) ;
  • Il‑Oun Lee (Department of Electrical Engineering, Myongji University)
  • Received : 2022.08.23
  • Accepted : 2022.11.15
  • Published : 2023.02.20
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Abstract

This work presents a 22 kW class high-efficiency inductive power transfer (IPT) system for wirelessly charging electric vehicles with 800 V class batteries. Ansys Maxwell simulation is conducted by analyzing the international standard IEC61980-3 to design and implement a 22 kW class transceiver. The battery load is modeled from the charging profile of a 22 kW and 800 V battery to select the optimal IPT topology. Six types of impedance compensation circuits are theoretically analyzed based on the above-mentioned experimental setup, and the optimal design of resonance parameters is designed. The ultimately selected IPT topology based on the optimal design results for each topology is an LCC-CCL structure with constant current output characteristics. A 22 kW class LCC-CCL structure IPT system capable of wirelessly charging an 800 V class battery is designed and manufactured, and experiments are conducted to verify its performance in all alignments of the transceiver and the entire battery charging profile. Based on the results of the theoretical analyses and experiments, the proposed IPT system confirms that the zero-voltage switching operation is possible at a fixed switching frequency of 83 kHz. In the 22 kW load condition, the maximum efficiency of 95.7% is achieved in the center alignment condition, and the IPT system achieves a high efficiency of 94% or more even in the maximum misalignment condition.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea grant funded by the Government of Korea (MSIT) (2021R1F1A1059249).

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