Analysis and Design of a Cost-Effective WPT System With Single-Input and Multioutput Based on Buck-Integrated Rectifier

He, Xiaorong; Zhu, Chenyan; Tao, Jin; Zhang, Yiming

doi:10.1109/tpel.2023.3297712

Cited by 4 publications

(1 citation statement)

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“…In reference [18], parallel-parallel compensation is implemented in a system utilizing the magnetic resonance wireless power transmission method. To stabilize the voltage on the load of the secondary circuit, a combined controller comprising a DCcontrolled variable capacitor and a Proportional-Integral (PI) controller is proposed.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a transformer designed for wireless power transmission system for different distance and alignment conditions and optimization with a developed algorithm

Ozupak,

Cinar

2024

Scientia Iranica

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In this study, the investigation of various positions of receiver and transmitter coils in a wireless power transfer (WPT) system was conducted using magnetic resonance-based coupling theory. The aim was to determine the air gap limits for achieving high efficiency in analyzing different coil positions. Selfinductance, mutual inductance, and coupling coefficient were calculated for this purpose. The efficiency of the system was determined for different coil positions by calculating input and output powers. Additionally, an optimized wireless power transfer system was achieved using the developed Wound Healing Algorithm (WHA). The MATLAB Simulink was employed to obtain mutual inductance and coupling coefficient values based on the distance between the coils in the wireless power system. The efficiency of the system was then calculated. The results were compared with those obtained from ANSYS Maxwell for interpretation. The findings indicated efficient power transfer up to specific distances in various coil positions. The points where efficiency started to decrease provided insights into determining the air gap and angular limits of the designed WPT system.

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Section: Introductionmentioning

confidence: 99%