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Primary-Frequency-Tuning and Secondary-Impedance-Matching IPT Converter With Programmable Constant Power Output and Optimal Efficiency Tracking Against Variation of Coupling Coefficient

Bowei Zou, Zhicong Huang

2024IEEE Transactions on Power Electronics26 citationsDOI

Abstract

For inductive power transfer (IPT) systems, load conditions and coupling coefficient are subject to change, and affect system power and efficiency. Aiming at addressing this issue, this paper proposes a two-loop control scheme based on a single-stage power-source IPT converter. The proposed IPT converter utilizes a series compensation structure on the primary side and employs a switched-controlled capacitor (SCC) in series with a semi-active rectifier (SAR) on the secondary side. The secondary SCC and the SAR cooperate via an inner control loop to emulate a null secondary impedance and an optimal load resistance, while the operating frequency is responsible for the output power regulation via an outer control loop. The operating principle enables programmable constant power (CP) output and optimal efficiency tracking against variations of coupling coefficient and load condition, and all power switches are designed to facilitate soft-switching to reduce switching losses. Moreover, compared with conventional IPT systems that have a constant current (CC) or constant voltage (CV) output characteristics, programmable CP output characteristics can maximize the output power capability of this IPT converter, which is suitable for battery or supercapacitor charging applications. Finally, simulations and experiments validate the proposed model and method for correctness and feasibility.

Topics & Concepts

Control theory (sociology)Coupling coefficient of resonatorsImpedance matchingRectifier (neural networks)Output impedancePower factorEngineeringInput impedanceCapacitorPower (physics)Maximum power transfer theoremElectrical impedanceElectronic engineeringVoltageComputer scienceElectrical engineeringPhysicsArtificial intelligenceControl (management)Artificial neural networkResonatorRecurrent neural networkStochastic neural networkQuantum mechanicsMachine learningWireless Power Transfer SystemsEnergy Harvesting in Wireless NetworksAdvanced Battery Technologies Research