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Anti-misalignment capability optimization for laminated magnetic couplers in wireless charging systems using balanced particle swarm optimization method
Journal of Power Electronics ( IF 1.4 ) Pub Date : 2022-09-26 , DOI: 10.1007/s43236-022-00527-6
Hao Liu , Zhenjie Li , Yuhong Tian , Yiqi Liu , Wenlong Song

To desensitize wireless charging systems (WCSs) to misalignment and to achieve a stable output voltage without using additional control methods, a laminated magnetic coupler (LMC) optimized by the balanced particle swarm optimization (BPSO) method is proposed to improve the performance of WCSs. First, the output characteristics of the LCC-S compensated WCS are analyzed to illustrate the working principle of the LMC. Next, the misalignment characteristics of the LMC, which employs the magnetic integration technique and coil self-decoupling method, are analyzed. Then, the operating principle of the BPSO method is analyzed and used to optimize the LMC in terms of the mutual inductance and anti-misalignment range. Finally, experimental results indicate that the optimized LMC achieves high-efficiency constant voltage charging within a reasonable horizontal misalignment range. When compared to commonly used methods (such as the exhaustive method) for optimizing magnetic couplers, the BPSO method avoids complex algorithms and a heavy computation burden.



中文翻译:

基于平衡粒子群优化方法的无线充电系统中叠层磁耦合器抗错位能力优化

为了在不使用额外控制方法的情况下降低无线充电系统(WCS)对错位的敏感性并获得稳定的输出电压,提出了一种通过平衡粒子群优化(BPSO)方法优化的叠层磁耦合器(LMC)来提高WCS的性能。首先,分析LCC-S补偿WCS的输出特性,说明LMC的工作原理。接下来,分析了采用磁集成技术和线圈自去耦方法的LMC的失准特性。然后,分析BPSO方法的工作原理,并根据互感和抗错位范围优化LMC。最后,实验结果表明,优化后的LMC在合理的水平错位范围内实现了高效恒压充电。与优化磁耦合器的常用方法(如穷举法)相比,BPSO方法避免了复杂的算法和繁重的计算负担。

更新日期:2022-09-27
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