Maximum Efficiency Tracking Study of Active Impedance Matching Network Discontinous Current Mode in Wireless Power TransferSystem

被引：0
|
作者：
Zhao J. [1 ]
Zhao J. [1 ]
Zhang J. [1 ]
Mao L. [1 ]
Qu K. [1 ]
机构：
[1] College of Electrical Engineering, Shanghai University of Electric Power, Shanghai
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2022年 / 37卷 / 01期
关键词：
Continuous current current mode; Impedance matching; Maximum efficiency tracking; Wireless power transfer;
D O I：
10.19595/j.cnki.1000-6753.tces.211179
中图分类号：
学科分类号：
摘要：
Aiming at the characteristics that the transmission efficiency is sensitive to the coupling coefficient and load change in wireless power transfer (WPT) system, this paper proposes a maximum efficiency tracking method based on the intermittent current mode (DCM) active impedance matching network. First, We analyzed expressions of different DC-DC converter inputs impedance to demonstrate the superiority of impedance matching of the DCM mode Buck-Boost transform circuit.Secondly, a maximum efficiency tracking control strategy based on the coupling coefficient identification was given, which can maximize and stabilize the large load transmission efficiency without real-time load monitoring and further tracking control. When the coupling coefficient changes, the system could also identify the coupling coefficient in real time according to the transmit and receive side voltage and current information, and realize the adaptive maximum efficiency tracking through adjusting the receiver side converter duty cycle. Finally, the feasibility and effectiveness of the method are verified and has obvious advantages in dynamic response and improved transmission efficiency. © 2022, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码：24 / 35
页数：11
相关论文
共 23 条
  • [1] Xue Ming, Yang Qingxin, Zhang Pengcheng, Et al., Application status and key issues of wireless power transmission technology, Transactions of China Electrotechnical Society, 36, 8, pp. 1547-1568, (2021)
  • [2] Wu Lihao, Zhang Bo, Overview of static wireless charging technology for electric vehicles: part Ⅰ, Transactions of China Electrotechnical Society, 35, 6, pp. 1153-1165, (2020)
  • [3] Wu Lihao, Zhang Bo, Overview of static wireless charging technology for electric vehicles: part Ⅱ, Transactions of China Electrotechnical Society, 35, 8, pp. 1662-1678, (2020)
  • [4] Wu Lijun, Li Guanxi, Zhang Zhuhaobo, Et al., A wireless power transfer system topology with automatic switching characteristics of constant current and constant voltage output for electric vehicle charging, Transactions of China Electrotechnical Society, 35, 18, pp. 3781-3790, (2020)
  • [5] Lyu H, Babakhani A., A 13.56-MHz-25-dBm-sensitivity inductive power receiver system-on-a-chipwith a self-adaptive successive approximation resonance compensation front-end for ultra-low-power medical implants, IEEE Transactions on BiomedicalCircuits and Systems, 15, 1, pp. 80-90, (2021)
  • [6] Chittoor PK, Chokkalingam B, Mihet-Popa L., A review on UAV wireless charging: fundamentals, applications, charging techniques and standards, IEEE Access, 9, 2, pp. 69235-69266, (2012)
  • [7] Xie Wenyan, Chen Wei, Progress in full-direction radio energy transmission technology, Automation of Electric Power Systems, 44, 4, pp. 202-215, (2020)
  • [8] YangLei, Zhang Yuanqi, Li Xiaojie, Et al., Analysis and design of four-plate capacitive wireless power transfer system for undersea applications, CES Transactions on Electrical Machines and Systems, 5, 3, pp. 202-211, (2021)
  • [9] Su Yugang, Yang Jian, Dai Xin, Et al., Load and mutual recognition of MCR-WPT system based on TensorFlow neural network, Automation of Electric Power Systems, 45, 18, pp. 162-169, (2021)
  • [10] Li Yang, DongWeihao, Yang Qingxin, Et al., Automatic impedance matching method with adaptive network based fuzzy inference system for WPT, IEEE Transactions on Industrial Informatics, 16, 2, pp. 1076-1085, (2020)
123