Research On High-efficiency And Low-power Radio Energy Transmission System

As a popular direction in the future in the electrical and power electronics field,the use of wireless energy transmission technology in home electronics and low-power equipment is becoming more and more popular.In contrast,the problems in use are also increasingly prominent,such as how to improve in the transmission process Efficiency and power,how to increase the transmission distance,how to ensure the stability of the system during transmission,etc.Aiming at the above problems,this paper has carried out research based on the magnetic coupling resonance wireless energy transmission technology and the low-power wireless charging system.Firstly,the mutual inductance theory is used to analyze the circuit structure of four typical wireless charging systems,and focus on the derivation of the S-S structure.Secondly,based on the current unresolved dynamic stability problems in wireless charging applications,the reasons are analyzed,and a control method without additional circuit structure is proposed.Finally,the proposed algorithm is compared with the traditional algorithm by designing simulation and experiment system,and the proposed algorithm has better performance.The main research content of this article includes the following aspects:(1)Use the mutual inductance theory to mathematically model a typical wireless energy transmission circuit.By simplifying part of the circuit model,solve various relationships between voltage,current and power in the system.(2)In response to the need for low-power wireless power transmission,three basic problems that still exist in the wireless charging technology at the emergence stage are dynamic stability,controllability,and system efficiency.On this basis,the corresponding solutions are analyzed and compared to select the model predictive control algorithm with parameter self-correction and verified by simulation.(3)Design the experimental system of magnetic coupling resonance wireless energy transmission,and carry on many experiments on the proposed new control scheme and traditional control scheme.The value of the method proposed in this paper is proved by analyzing the experimental results.The research results of this paper is a new application of model predictive control algorithm in wireless charging system.By combining particle swarm optimization algorithm with feedback correction in predictive control,it can not only effectively solve the wireless charging system in the process of motion The feasibility problem has also reduced the complexity of the system circuit topology.The work of this paper provides reliable support and basis for the subsequent theoretical development.