摘要
针对动态无线电能传输中互感波动导致功率和效率下降问题,本文提出了一种多参数、多目标优化控制方法,相较于单一目标优化方法,该方法实现了传输功率和线圈传输效率同步优化。首先,基于导轨式无线电能传输系统模型从原理上分析影响传输性能参数,建立了多目标优化数学模型;其次,传统多目标优化方法由于求解速度过慢导致无法适应频繁变化的动态工况,因此本文将该方法与粒子群算法结合,提升了优化方法的响应速度;最后搭建了仿真模型和实验样机对理论分析进行了验证,结果显示在10μH/s互感变化率下运动10 s后系统仍可以保持额定功率工作,且传输效率可以保持90%以上。
Aiming at the problem of power and efficiency drop caused by mutual inductance fluctuations in dynamic wireless power transfer system,this paper proposes a multi⁃parameter and multi⁃objective control optimization strat⁃egy to achieve the synchronous improvement of power and efficiency.Firstly,the parameters that affect power and efficiency based on the guide rail dynamic WPT system model are analyzed,and the multi⁃objective optimization mathematical model is estabilished.Then,since the traditional multi⁃objective optimization method cannot adapt to the dynamic conditions of frequent changes due to the slow solution speed,this paper combines the method with the particle swarm optimization algorithm to improve the response speed of the optimization method.Finally,the simula⁃tion model and experimental prototype are built to verify the theoretical analysis.The results show that the system can still maintain the rated power after moving for 10 s under the mutual inductance change rate of 10μH/s,and the transmission efficiency can be maintained at more than 90%.
作者
李阳
黄悦蓬
刘雪莉
石少博
徐睿
寇苏雅
LI Yang;HUANG Yue-peng;LIU Xue-li;SHI Shao-bo;XU Rui;KOU Su-ya(School of Electrical Engineering,Tiangong University,Tianjin 300387,China)
出处
《电工电能新技术》
CSCD
北大核心
2022年第8期41-50,共10页
Advanced Technology of Electrical Engineering and Energy
基金
国家自然科学基金项目(51877151)。
关键词
动态无线电能传输
多目标优化
粒子群算法
功率效率同步优化方法
dynamic wireless power transfer
multi⁃objective optimization
particle swarm optimization algorithm
power and efficiency synchronous improvement method
