基于遗传算法的SS型磁耦合WPT系统负载与互感识别方法

Load and Mutual Inductance Identification Method of SS-Type Magnetically-Coupled WPT System Based on Genetic Algorithm

负载与互感参数的识别问题是提升磁耦合无线电能传输(WPT)系统性能的关键问题,基于遗传算法提出一种SS型磁耦合WPT系统的负载与互感识别方法,在考虑系统高次谐波影响的条件下建立系统稳态电路模型,进而得到系统电路参数及状态变量之间关系的数学描述,在此基础上引入遗传算法,将系统的参数识别问题转化为寻优问题,从而给出系统负载以及互感参数的识别方法。该识别方法无需增加额外电路以及相关控制,因此降低了电路复杂度并且减小了系统体积。仿真及实验结果均验证了该方法的可行性及有效性。

The identification of load and mutual inductance parameters is essential for improving power transfer capability and power transfer efficiency of the MC-WPT systems.In this paper,a load and mutual inductance identification method focusing on S/S-type WPT system is proposed.The steady-state circuit model is established by considering higher harmonics.Based on the circuit model,the relationship between the circuit parameters and the state variables is obtained.Further,the load and the mutual inductance identification is achieved by using Genetic Algorithm.In addition,the identification method can be achieved without extra circuits.As a result,the system cost and volume are decreased,and circuit complexity is reduced.Finally,the simulation and experimental results have verified the proposed method.