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Reconfigurable Rectifier-Based Detuned Series-Series Compensated IPT System for Anti-Misalignment and Efficiency Improvement

Yang Chen, Shuangjiang He, Bin Yang, Shuxin Chen, Zhengyou He, Ruikun Mai

2022IEEE Transactions on Power Electronics103 citationsDOI

Abstract

For an inductive power transfer (IPT) system, mobility is one of the most attractive features, but coupling variations can dramatically affect the system's output. In this article, a reconfigurable rectifier-based detuned series-series (SS) compensated IPT system is proposed to tolerate an extensive coupling range and improve the system efficiency simultaneously. The reconfigurable rectifier, which can operate in a full-bridge rectifier mode or a half-bridge rectifier mode, is used to alter the equivalent ac load from one value to the other so the expected coupling range of the detuned SS topology can be extended. At the same time, the system efficiency is also partly improved because the ac load is changed to get closer to the optimal load of the IPT system. First, a detuned SS IPT system with the reconfigurable rectifier is presented and followed by the analysis of the working modes. Then, a detailed parameter design process and switching control of the reconfigurable rectifier are introduced. Finally, a 400-W prototype was constructed to verify the validity of the proposed method. The experimental results demonstrate that the output power fluctuation of the proposed IPT system is less than 17.5% and the lowest efficiency can be improved from 68.6% to 87.5% with the coupling coefficient varying from 0.1 to 0.4. The proposed method can implement significant antimisalignment and efficiency improvement simultaneously, and it is regarded as a potential solution for low-power IPT applications with high spatial mobility.

Topics & Concepts

Rectifier (neural networks)Control theory (sociology)Coupling (piping)Maximum power transfer theoremCoupling coefficient of resonatorsPower (physics)Topology (electrical circuits)Series (stratigraphy)Precision rectifierComputer scienceElectronic engineeringPhysicsEngineeringPower factorElectrical engineeringControl (management)Mechanical engineeringBiologyArtificial intelligenceMachine learningRecurrent neural networkArtificial neural networkQuantum mechanicsPaleontologyResonatorStochastic neural networkWireless Power Transfer SystemsEnergy Harvesting in Wireless NetworksInnovative Energy Harvesting Technologies