Research On Parameter Optimization Of IPT System Based On PSO

As an epoch-making technique,Wireless Power Transfer(WPT)enabled the energy migration in an unexpected cordless way.This has broken the technical bottleneck of wired power transmission in the past and has been widely concerned by researchers.As one of the most important research topics of WPT at this stage,Inductive Power Transfer(IPT)technology allows electrical energy to be transmitted from the power supply to the load in a contactless way through a magnetic field with a relatively large air gap.Based on this principle,IPT technology has the advantages of reducing the cost of wire and improving the safety of power transmission.In recent years,IPT technology has been applied to more and more special fields,but the transmission efficiency and transmission distance of the system still affect the development of the technology,so the energy efficiency analysis and parameter optimization of the IPT system are particularly important.At first,the operation mechanism of the IPT system will be introduced in this paper.According to the system requirements,the three parts of the inverter part,the resonance compensation network part and the electromagnetic coupling mechanism will be selected and designed.In order to reduce the circuit structure,the push-pull inverter circuit is selected as the high-frequency inverter part,and considering the simple and easy operation,the SS type resonance compensation network is selected.At the same time,in order to ensure that the system performs contactless power transmission in a wide range,the induction coil of the electromagnetic coupling mechanism is analyzed,and the planar spiral winding structure is combined with the spiral winding structure,and an improved coil structure is proposed as the receiving coil.The effectiveness of the proposed improved coil structure is verified by comparison with the output power and magnetic induction of a conventional coil structure.In view of the system transmission efficiency problem,this papermodels the electromagnetic coupling mechanism of the system by theoretical analysis,and determines the main system parameters affecting energy efficiency.Then the problem of improving transmission efficiency is transformed into a system parameter optimization problem.Specifically,the correlation function of the transmission efficiency is set as the objective function,and the algorithm model is established according to the system performance.By applying the Particle Swarm Optimization(PSO)algorithm to find the optimal solution of the relevant parameters,it is ensured that the optimal values of the main system parameters are found in a short time,and the transmission efficiency is improved within a certain parameter range.Compared with the method of relying on experience to select system parameters,the proposed scheme can find the optimal parameters quickly and accurately.The rationality and feasibility of the proposed optimization scheme are analyzed by simulation and experiment.In practical applications,since the IPT system is a dynamic system,considering the skin effect and proximity effect,the influence of transmission distance on the system should also be included in the study of system parameter optimization.Therefore,the single-objective PSO algorithm is further extended to the system parameter optimization problem based on the multi-objective PSO algorithm.By analyzing the transmission distance of the system,the basic single-objective PSO algorithm is improved,and the multi-objective PSO algorithm optimization of system parameters is realized.The simulation results show that under the condition of certain system parameters,the improved multi-objective PSO algorithm optimization scheme can achieve the purpose of seeking the optimal solution of the parameters for the case that the transmission efficiency and the transmission distance are simultaneously set as the objective function.Finally,the main research contents of this paper are concluded,and the future research work is prospected.