A Self-Tuning LCC/SP System for Electric Vehicle Wireless Charging against Large Self- and Mutual Inductance Variations

Yiyan Zhao, Xuezhe Wei, Zhichao Luo, Meng Xiong and Haifeng Dai
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Yiyan Zhao: Department of Automotive Engineering, Tongji University, Shanghai 201800, China
Xuezhe Wei: Department of Automotive Engineering, Tongji University, Shanghai 201800, China
Zhichao Luo: Engineering Department, Division B, University of Cambridge, Cambridge CB3 0FA, UK
Meng Xiong: Department of Automotive Engineering, Tongji University, Shanghai 201800, China
Haifeng Dai: Department of Automotive Engineering, Tongji University, Shanghai 201800, China

Energies, 2022, vol. 15, issue 11, 1-28

Abstract: An LCC/SP self-tuning wireless charging system is proposed herein for use in a wireless charging test bench. With different dislocations in addition to changes in the coil self-inductance and mutual inductance caused by different secondary magnetic shielding materials, the system can ensure that the high power factor of the primary side remains unchanged without changing the circuit topology. Based on this normalized detuning LCC/SP circuit model, a switch-controlled capacitor (SCC) self-tuning method based on PI control is proposed. The control scheme employs only two MOSFETs and capacitors, without WIFI communication or parameter identification. A 2 kW experimental device was set up in the laboratory, and experimental verification was carried out with large-scale dislocations and different secondary magnetic shielding materials. The experimental results confirm that the system can maintain a high power factor (>0.9) under a system mutual inductance variation of 47.7% and secondary coil self-inductance variation of 12%, and that it can be applied in electric vehicle wireless chargers or high-power wireless charger test benches.

Keywords: wireless energy transmission; switched capacitor; LCC/SP compensation; electric vehicle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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