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作 者:魏钦旺 黄东晓 黄卫东[1] 汪凤翔 WEI Qin-wang;HUANG Dong-xiao;HUANG Wei-dong;WANG Feng-xiang(Fujian Key Laboratory of Intelligent Machining Technology and Equipment(Fujian University of Technology),Fuzhou 350118,China;不详)
机构地区:[1]福建省智能加工技术及装备重点实验室(福建工程学院),福建福州350118 [2]中国科学院海西研究院泉州装备制造研究中心,电机驱动与功率电子国家地方联合工程研究中心,福建泉州362000
出 处:《电力电子技术》2023年第8期86-89,共4页Power Electronics
基 金:国家自然科学基金(5277070);福建省科技计划项目(2020T3016)。
摘 要:多负载无线充电系统耦合线圈位置及受电设备阻抗变化,导致系统模型参数发生偏移,影响系统传输效率。此处提出一种多频多负载无线充电系统负载与互感辨识方法,根据不同频率下系统输入阻抗建立互感与负载关系的数学模型,然后以输出电压实际值与理论值误差作为适应度函数设计粒子群算法,实现负载与互感的参数辨识。辨识过程中引入滑窗离散傅里叶变换(SDFT)分离初级电路混频电流分量。实验结果表明,该方法能够准确辨识出互感与负载的大小,为设计高效能系统提供了理论支撑。The position of coupling coil and the impedance of receiving equipment in multi-load wireless charging system change,which leads to the deviation of system model parameters and affects the transmission efficiency.A load and mutual inductance identification method for multi-frequency and multi-load wireless charging system is proposed.According to input impedance of the system at different frequencies,the mathematical model of the relationship between mutual inductance and load is established,and the sliding window discrete Fourier transform(SDFT)is introduced to separate the mixing current component of the primary side circuit.Then,the particle swarm optimization algorithm is designed with the error between the actual value and the theoretical value of the output voltage as the fitness function to realize the parameter identification of load and mutual inductance.The experimental results show that the method can accurately identify the size of mutual inductance and load,which provides theoretical support for the design of high-performance system.
分 类 号:TM724[电气工程—电力系统及自动化]
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