粒子群优化
无线电源传输
匹配(统计)
传输(电信)
补偿(心理学)
无线
计算机科学
最大功率转移定理
动力传输
功率(物理)
拓扑(电路)
控制理论(社会学)
数据传输
电子工程
算法
工程类
数学
人工智能
电气工程
电信
心理学
计算机网络
统计
物理
控制(管理)
量子力学
精神分析
作者
Feifan Xu,Shuguang Wei,Jiaqi Li,Dong Yuan
标识
DOI:10.1109/icems59686.2023.10344415
摘要
Dynamic wireless power transfer (DWPT) realizes a reliable power transmission between relatively moving objects. In this paper, a parameter matching method based on particle swarm optimization (PSO) algorithm is proposed to design the parameters of the LCC/S compensation topology using for an unmanned vehicle DWPT system. Firstly, the mathematical model of the LCC/S compensation topology is derived, and then three factors that affect the transmission characteristics of the system in the resonant state are analyzed. Then, the principle of PSO algorithm and the general steps of parameter matching using PSO algorithm are introduced. Simulation experimental results show that the proposed method can realize the parameter design under system constraints, and realize the dynamic wireless power transfer with the transmission power of 19.73kW and the efficiency of not less than 98%.
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