Research on Transmission Characteristics of MCR-WPT Systems Based on Chaotic Sparrow Search Algorithm

2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI:10.1109/ICPST56889.2023.10165116

Haoze Zhuo, Jing Xiao, Wenlan Gong, Xiaoke Zhang, Yufang Chang

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Abstract

To solve the problem of low transmission efficiency in the magnetic coupled resonant wireless power transfer (MCR-WPT) system, a parameter design method based on chaotic sparrow search algorithm is proposed to optimize the transmission efficiency of the system. The circuit model of the two-coil MCR-WPT system is established, and the relationships among output power, transmission efficiency, frequency, coupling coefficient and load resistance are derived. The influence of frequency, coupling coefficient and load resistance on the output power and transmission efficiency of the system is studied and analyzed by the control variable method. The sparrow search algorithm is improved by using chaotic reverse learning strategy, and the three parameters were optimized by the improved algorithm, and the system parameter values corresponding to the optimal solution are obtained. Simulation results show that the transmission efficiency of the optimized MCR-WPT system can reach up to 91%.

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基于混沌麻雀搜索算法的MCR-WPT系统传输特性研究

针对磁耦合谐振无线电力传输(MCR-WPT)系统传输效率低的问题，提出了一种基于混沌麻雀搜索算法的参数设计方法来优化系统的传输效率。建立了双线圈MCR-WPT系统的电路模型，推导了输出功率、传输效率、频率、耦合系数和负载电阻之间的关系。采用控制变量法研究和分析了频率、耦合系数和负载电阻对系统输出功率和传输效率的影响。采用混沌逆向学习策略对麻雀搜索算法进行了改进，并对三个参数进行了优化，得到了最优解对应的系统参数值。仿真结果表明，优化后的MCR-WPT系统的传输效率可达91%。

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2023 IEEE International Conference on Power Science and Technology (ICPST)

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