整流器(神经网络)
最大功率转移定理
联轴节(管道)
电气工程
感应耦合
夹紧
电子工程
功率(物理)
工程类
计算机科学
物理
机械工程
随机神经网络
量子力学
机器学习
循环神经网络
人工神经网络
夹紧
作者
Yang Chen,Zeheng Zhang,Bin Yang,Binshan Zhang,Ling Fu,Zhengyou He,Ruikun Mai
出处
期刊:IEEE Transactions on Power Electronics
[Institute of Electrical and Electronics Engineers]
日期:2023-08-09
卷期号:39 (2): 1942-1946
被引量:47
标识
DOI:10.1109/tpel.2023.3303487
摘要
Coupling variation tolerance is one of the most crucial abilities of the inductive power transfer (IPT) system because the variable coupling can dramatically degrade the output power. This letter proposes a clamp circuit-based IPT system with a reconfigurable rectifier featuring high antimisalignment. The clamp circuit can adaptively switch from one stable operating region to the other according to the coupling coefficients. The reconfigurable rectifier can work in half-bridge mode or full-bridge mode, which can build another two adaptively switching stable operating regions such that the proposed IPT system can provide nearly stable output power resisting extensive coupling variations. A 400-W prototype was built to verify the theoretical analysis. The experimental results indicate that the output power fluctuation of the proposed method is only 5.98% when the coupling coefficient varies from 0.1 to 0.4 (400%), and the system efficiency is from 86.1% to 94.3%. The proposed method does not need complicated control or dedicated coil design, and it can implement significant antimisalignment improvement.
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