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Title: | Design and modeling of high-frequency printed circuit board-based inductive type wireless power resonators | Authors: | Shang, Shuye | Keywords: | Engineering | Issue Date: | 2024 | Publisher: | Nanyang Technological University | Source: | Shang, S. (2024). Design and modeling of high-frequency printed circuit board-based inductive type wireless power resonators. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175950 | Abstract: | This paper introduces a novel printed-circuit-board (PCB) resonator for 13.56MHz wireless power transfer (WPT) applications, offering a significant advancement by eliminating the need for additional discrete capacitors, thus facilitating high-frequency energy transmission with high Q values. An appropriate equivalent circuit model is developed to optimize the PCB-based coil, with a comparative experimental study highlighting its performance against traditional circular planar helical coils. By adopting square polygonal configurations, the study refines the equivalent model with accuracy, supported by simulation and experimental validation. Addressing the design challenges of self-resonant PCB resonators in high-frequency WPT systems, particularly achieving targeted self-resonant frequencies (SRF) and high quality factors (Q) amid complex electromagnetic interactions, a reference-point-directed optimization approach utilizing unsupervised feature embedding is proposed. This method significantly enhances the Q factor by 122.6% over manual designs and achieves precise SRFs with reduced reliance on extensive data and computational resources, as demonstrated through design cases and hardware experiments. This streamlined approach marks a progress in the efficiency and design methodology of PCB resonators for WPT applications. | URI: | https://hdl.handle.net/10356/175950 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
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MSc dissertation-final-SHANG Shuye.pdf Restricted Access | 3.9 MB | Adobe PDF | View/Open |
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