A Dual-Frequency Resonant Single-Ended IPT Converter With Enhanced Power Transfer Capability

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2025-01-31 DOI:10.1109/TIE.2025.3532721
Jingyu Wang;Zhicong Huang;Xiaolu Lucia Li
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Abstract

In the design of single-ended inductive power transfer (IPT) converters, the prevalent reliance on the fundamental harmonic approximation (FHA) often results in an underutilization of the input voltage. This article provides new insights into this problem by deriving and demonstrating that the power transfer capability of a single-ended IPT converter can be enhanced by utilizing the second harmonic component. A novel dual-frequency resonant single-ended IPT converter is designed to allow load-independent voltage output at both the fundamental and second harmonics. This design could improve the power transfer capability without increasing the voltage stress on the power switch. Compared with the conventional single-ended converter with the same output power, the coil currents in the proposed converter are lower. Additionally, the advantages mentioned above are unaffected by coil misalignment. An experimental prototype has been constructed to validate the effectiveness of the proposed method.
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具有增强功率传输能力的双频谐振单端IPT转换器
在单端电感功率传输(IPT)转换器的设计中,普遍依赖于基谐波近似(FHA),往往导致输入电压利用率不足。本文通过推导和证明利用二次谐波分量可以增强单端IPT转换器的功率传输能力,为这一问题提供了新的见解。设计了一种新型双频谐振单端IPT转换器,允许在基频和次谐波上输出与负载无关的电压。这种设计可以在不增加电源开关电压应力的情况下提高电源的传输能力。与输出功率相同的传统单端变换器相比,该变换器的线圈电流更小。此外,上述优点不受线圈不对中影响。建立了一个实验样机,验证了该方法的有效性。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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