Optimal Design Of Magnetic Core For Wireless Power Transfer System Based On Loosely Coupled Transformer

Compared with the traditional power supply mode,wireless power supply system has been widely used in many fields because of its safety and convenience.As the core component of the wireless power supply system,the loosely coupled transformer has been studied in various aspects at home and abroad.In order to improve the coupling strength and energy transfer efficiency of loosely coupled transformers,ferrite cores are often added in the structure.Therefore,this paper focuses on the influence of the displacement change of the strip ferrite core in the circular magnetic coupling mechanism on the key parameters of the loosely coupled transformer,and studies it.Based on the finite element simulation results of the influence of the core displacement on the key parameters,the corresponding core arrangement scheme is obtained in the prior method and the posterior method by using the intelligent optimization algorithm.The main research and contributions are as follows:Firstly,the transmission characteristics of loosely coupled transformers are analyzed and summarized.Because the circuit model can intuitively show the relationship between the parameters and the input and output of the system,the mathematical relationship between the system transmission efficiency and the parameters is obtained by establishing and analyzing the ideal,leakage and mutual inductance models,which provides a basis for selecting the target quantity to be optimized.Secondly,using the finite element simulation software,taking the circular magnetic coupling coil as an example to establish the simulation model and simulate the working conditions when the air gap between the primary and secondary sides is 50 mm and the sinusoidal excitation current of 1A and 85 k Hz is applied to the primary side,the influence of the magnetic core displacement on the quality factor,coupling coefficient,coupling coefficient retention coefficient and volume of the antioffset performance is obtained.Through the analysis,the optimization preference of each target quantity on the primary and secondary side of the magnetic core displacement in the optimization process is obtained.By using the genetic algorithm with higher maturity in intelligent optimization algorithms,the comprehensive evaluation function method which transforms multi-objective into single-objective in the prior method is calculated to obtain the magnetic core arrangement scheme under known weights,and then the non-dominated sorting method which solves Pareto front in the posterior method is calculated.The magnetic core arrangement scheme corresponding to each solution in the Pareto front is obtained for selection.Finally,because the magnetic core layout scheme corresponding to each solution in the Pareto front of the optimization results can be selected by the decision maker,an experimental platform is built based on the drawn simulation model to verify the results of some optimized magnetic core layout schemes.By comparing the analytical value of the optimization calculation with the measured value of the experimental results,it is found that the variation trend of the analytical value is consistent with the measured value,and the error is within the controllable range,so the correctness and reliability of the optimization scheme used in this topic can be verified...