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Issue title: Special Section: Fuzzy Logic for Analysis of Clinical Diagnosis and Decision-Making in Health Care
Article type: Research Article
Authors: Zhang, Xiana; * | Wang, Fengxiana | Han, Dawena | Meng, Haoa | Wei, Binb | Wang, Songcenb | Li, Yanga | Xue, Minga | Yang, Qingxina
Affiliations: [a] Tianjin Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin Polytechnic University, Tianjin, China | [b] China Electric Power Research Institute, Beijing, China
Correspondence: [*] Corresponding author. Xian Zhang, Electrical Engineering and Energy Technology, Tianjin Polytechnic University, Tianjin 300387, China. E-mail: zhangxian@tjpu.edu.cn.
Abstract: Wireless power transmission technology avoids the problem of towed wires in the process of using electric energy, and increases the flexibility of using electricity. It is a hot research topic at present. In order to improve the system performance, a field-circuit coupling algorithm is proposed to analyze the system performance, with the help of the concept of supercomputing. Frequency splitting is a phenomenon in wireless power transfer (WPT) system when the coupling distance is less than the splitting point, the load power changes from a single-peak curve to a double-peak curve driven by two non-intrinsic resonant frequencies. Asymptotic coupled mode theory (CMT) method is used to analyse the frequency splitting phenomena in WPT system. It provides detailed information about interaction of field strength under different coupling states through coupled solution of FEM and CMT. Over coupling, critical coupling and under coupling are three typical states classified by frequency splitting. Experimental results are acquired by two helical resonators. The overall system reaches the critical coupling state when resonators space 1.5 m and the total power on the load is 110 W. Therefore, it is an efficient way to forecast transmission characteristics by using this method.
Keywords: magnetic resonant coupling, frequency splitting, coupled mode theory, critical coupling, coupled solution
DOI: 10.3233/JIFS-179420
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 463-469, 2020
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