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磁耦合谐振式无线电能传输系统线圈结构参数优化方法
引用本文:余志斌,孙才智,张葛祥.磁耦合谐振式无线电能传输系统线圈结构参数优化方法[J].科学技术与工程,2023,23(13):5559-5570.
作者姓名:余志斌  孙才智  张葛祥
作者单位:西南交通大学电气工程学院
基金项目:国家电网有限公司科技项目‘输电线路杆塔接地装置运行状态综合评估及监测技术研究’(5500-202126130A-0-0-00)
摘    要:谐振线圈是磁耦合谐振式无线电能传输(magnetic coupling resonance wireless power transfer, MCR-WPT)系统的核心部分,线圈参数决定了系统电路的谐振参数,进而决定系统的能量传输效率。现有研究只考虑了近距离四线圈及以下MCR-WPT系统建模及其线圈参数优化。为了实现中远距离高效无线传能,构建了一种六线圈MCR-WPT系统模型,并以线圈结构参数为优化变量,通过分析限制交叉耦合与频率分裂的条件建立优化变量约束函数,以线圈互感与线圈内阻之比为目标函数,设计了一种基于灰狼算法的定线圈间距六级MCR-WPT系统参数优化方法,并通过仿真进行了验证,结果表明,其最优传能效率达93%,所构建的六级MCR-WPT及其参数优化方法有效。

关 键 词:无线电能传输  磁耦合谐振  能量传输效率  参数优化
收稿时间:2022/7/15 0:00:00
修稿时间:2022/10/24 0:00:00

An optimization method of coil structure parameters in magnetic coupling resonance wireless power transfer system
Yu Zhibin,Sun Caizhi,Zhang Gexiang.An optimization method of coil structure parameters in magnetic coupling resonance wireless power transfer system[J].Science Technology and Engineering,2023,23(13):5559-5570.
Authors:Yu Zhibin  Sun Caizhi  Zhang Gexiang
Institution:Southwest Jiaotong University
Abstract:Resonant coil is a central part of the magnetic coupling resonance wireless power transfer system. Resonance parameters of the system circuit depend on coil parameters and efficiency of energy transfer depends on the resonance parameters. Some MCR-WPT system (with 4 Level coils and below) and coil-parameter optimization of the system are only considered in current researches. In order to realize the high efficiency wireless energy transmission in medium and long distance, in this paper, a novel MCR-WPT with 6 level coils is proposed. The coil structure parameters are taken as optimization variables, and optimizing variable constraint function is built based on analyses of conditions for limiting cross coupling and frequency splitting. The ratio of coil mutual inductance to coil internal resistance is taken as objective function of optimizing the system. A novel optimization method of coil structure parameters of the proposed MCR-WPT is presented based on Wolf algorithm. The simulation experimental results show that optimal energy transfer efficiency reaches to 93%.
Keywords:wireless power transfer  magnetic coupling resonance  energy transfer efficiency  parameter optimization
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