Journal
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 66, Issue 5, Pages 3963-3972Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2018.2835410
Keywords
Automatic impedance matching; backpropagation (BP) neural network; wireless power transfer
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Funding
- National natural Science Foundation of China [51577133, 51477117, 51607121]
- Tianjin Research Program of Application Foundation and Advanced Technology [15JCYBJC46700]
- National Key Research and Development Program of China [2017YFB1201003-022]
- Program for Innovative Research Team in University of Tianjin [TD13-5040]
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In a wireless power transfer (WPT) system via coupled magnetic resonances, the power transfer efficiency (PTE) drastically decreases with the transfer distance or the load changing. In this paper, the causes of efficiency degradation are analyzed, and an automatic impedance matching method based on the feedforward-backpropagation (BP) neural network is proposed to maintain the PTE at a reasonable level. To validate and test the performance of the proposed method, a WPT automatic impedance matching simulation system is implemented. Moreover, a prototype based on the proposed method is built and dynamic matching experiments were performed. The simulation results show that the algorithm efficiency of the proposed BP method is 108.5% higher than that of the genetic algorithm. The experimental results show that the PTE is improved up to 78.33% and this is closely maintained within a distance of 10-30 cm, which is consistent with the simulation result.
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