期刊
IEEE TRANSACTIONS ON POWER ELECTRONICS
卷 36, 期 1, 页码 978-990出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2020.3000455
关键词
Topology; Couplings; Load modeling; Rectifiers; Capacitors; Impedance; Voltage measurement; Adaptive control; modeling; optimization; wireless power transmission
This article proposes an adaptive frequency control scheme for battery charging applications in a sensorless-receiver inductive wireless power transfer system, utilizing a mixed-compensation topology for more efficient power delivery. Perturb and observe method is suggested to track the optimal operating frequency. The paper also introduces a highly accurate analytical model considering the nonlinear effect of the ac/dc rectifier-stage.
In this article, an adaptive frequency control scheme of a sensorless-receiver inductive wireless power transfer system for battery charging applications is proposed. The mixed-compensation topology is utilized instead of the conventional topologies to deliver power more efficiently. Perturb and observe is proposed to track the optimal operating frequency to achieve maximum transfer efficiency or maximum output power delivery. Moreover, the paper proposes a highly accurate analytical model considering the nonlinear effect of the ac/dc rectifier-stage. Two subsystems are considered: a rectifier based resistive-load, and a rectifier based battery-load. The rectifier based battery-load is represented as a variable ac voltage source. The proposed model is linearized using the first harmonic approximation technique and generalized using the Thevenin's equivalent representation, thus the proposed model can be applied to any compensation topology. Afterward, a systematic approach is developed based on the proposed model to estimate the connected load information including battery voltage based on sender-side measurements only. This results in a smaller size and increased portability of the receiver. A prototype is designed in small-scale with low-power specifications to comply with implantable biomedical applications to demonstrate and validate the proposed model, estimation approach, and frequency tracking experimentally.
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