Abstract
In this paper, a novel matching circuit design method utilizing a genetic algorithm (GA) and the measured S-parameters of randomly moved coil configurations is discussed. Through the detailed comparison of different matching circuit topologies, the superiority of active matching circuits is clearly demonstrated, and potentially there is 21.4% improvement in the wireless power transfer efficiency by using a four-cell active matching circuit, which can create 16 different impedance values. Also, the matching circuit design simulation can be further simplified by choosing a much smaller subset of representative impedance values for the utilized time-changing coil configuration through the employment of $k$ -means clustering and use only these values for the derivation of the optimal matching circuit. This heuristic approach could drastically reduce the time for the matching circuit design simulation, especially for matching circuit topologies with a larger number of cells.
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