基于改进粒子群算法的无线电能传输高频阻抗数值研究

Numerical Study on High-frequency Impedance of Wireless Power Transfer Based on Improved Particle Swarm Optimization Algorithm

为提升磁谐振式无线电能传输系统的传输精度和传输效率,需研究磁耦合谐振式无线电能传输过程的高频阻抗特性。依据最大功率传输原则,获取阻抗匹配适应度函数,通过适应度函数,得到匹配高频阻抗实部和虚部,从电容实时调整的角度出发,更新粒子速度和位置,混沌局部搜索最优粒子;采用惩罚函数处理越界粒子,依照最终获取的最优粒子调整无线电能传输系统中的电容,使调整后无线电能传输系统高频阻抗和适应度函数获取的高频阻抗数值一致,实现对无线电能传输系统中的高频阻抗匹配。实验分析发现,采用该方法匹配高频阻抗后,无线电能传输精度最高可达96.59%。

To improve the transmission accuracy and transmission efficiency of a magnetic coupling resonant wireless power transfer system,it is necessary to study the high-frequency impedance characteristics of magnetic resonant wireless power transfer process.According to the principle of maximum power transfer,the fitness function of impedance matching is obtained.On this basis,the real and imaginary parts of high-frequency impedance are matched.From the perspective of real-time adjustment of the capacitance value,the particle speed and position are updated,and the optimal particle is searched by the chaotic local search.A penalty function is used to deal with particles outside the boundary,and the capacitance value in the wireless power transfer system is adjusted according to the obtained optimal particle,so that the adjusted high-frequency impedance of the wireless power transfer system and the high-frequency impedance value obtained by the fitness function are consistent.As a result,the high-frequency impedance matching in the wireless power transfer system is realized.Through experimental analysis,it is found that the accuracy of wireless power transfer can reach 96.59%after matching the high-frequency impedance with the proposed method.