Multi-objective Optimization Of The Ferrite Bars In Power Pads For WPT Systems Based On Particle Swarm Optimization

With its non-contact convenience,wireless power transfer technology has been widely used in consumer electronics,autonomous navigation equipment,electric vehicles and other fields.The current research focus is to further improve the transmission efficiency,offset capability,miniaturization and other aspects.The introduction of ferrite materials can effectively improve the working characteristics of wireless power transfer systems.This paper studies the influence of ferrite layout on transmission efficiency,anti-offset performance and volume optimization,and proposes related optimization design algorithms.The main contents are as follows:Therefore,this paper discussed the influence of the ferrite layout on the transmission efficiency and anti-offset performance of the system through finite simulation.Among them,the mutual inductance between the coils is used to characterize the transmission efficiency and the mutual inductance retention rate(MIRR)is defined to characterize the anti-offset performance of the wireless power supply transfer.The effects of the length,the position and the number of ferrite bars on the mutual inductance and MIRR of the system are respectively analyzed in detail.Through the simulation of the optimization goals one by one,the conflict of different goals cannot be obtained at the same time is shown,which demonstrates the necessity of multi-objective optimization.Then the particle swarm optimization(PSO)is introduced to perform multi-objective optimization calculations for transmission efficiency,anti-offset performance and volume.First,by combing the application method of the PSO in ferrite bar optimization,the optimization object is clarified,that is,the influence of the position of ferrite bars in primary and secondary side respectively on the mutual inductance,MIRR and volume.Then use the algorithm to perform iterative calculations,and two different flows and solutions are given: A priori method that can calculate the precise optimal solution under the condition that the distribution of the optimization target is clear,and a posteriori method that provides a rich set of Pareto solutions for engineers to further select.Finally,an experimental platform of the wireless power transfer system is built.The optimization algorithm proposed in this paper is used for optimization calculations and choose five solutions that focus on different optimization objectives,including best anti-offset performance,best transmission efficiency,best volume,both the anti-offset and volume,and both efficiency and volume,to measure the mutual inductance and MIRR and compared with the simulation data.The experimental results are in good agreement with the simulation data,which proves the feasibility of the optimized algorithm in this paper.