Effects of Lossy Mediums for Resonator-Coupled Type Wireless Power Transfer System using Conventional Single- and Dual-Spiral Resonators

Norodin, Nur Syafiera Azreen; Nakamura, Kousuke; Hotta, Masao

doi:10.1587/transele.2021ecp5025

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…We compared the calculated transmission efficiency with our experimental results [40] to validate our computational model. The experiment result was expressed as × 100 (%) [55], and the COMSOL results were evaluated using Equation (3).…”

Section: Validation Of the Mrc-wpt System Computationmentioning

confidence: 99%

Reduction in Human Interaction with Magnetic Resonant Coupling WPT Systems with Grounded Loop

et al. 2021

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Wireless power transfer (WPT) systems have attracted considerable attention in relation to providing a reliable and convenient power supply. Among the challenges in this area are maintaining the performance of the WPT system with the presence of a human body and minimizing the induced physical quantities in the human body. This study proposes a magnetic resonant coupling WPT (MRC-WPT) system that utilizes a resonator with a grounded loop to mitigate its interaction with a human body and achieve a high-efficiency power transfer at a short range. Our proposed system is based on a grounded loop to reduce the leakage of the electric field, resulting in less interaction with the human body. As a result, a transmission efficiency higher than 70% is achieved at a transmission distance of approximately 25 cm. Under the maximum-efficiency conditions of the WPT system, the use of a resonator with a grounded loop reduces the induced electric field, the peak spatial-average specific absorption rate (psSAR), and the whole-body averaged SAR by 43.6%, 69.7%, and 65.6%, respectively. The maximum permissible input power values for the proposed WPT systems are 40 and 33.5 kW, as prescribed in the International Commission of Non-Ionizing Radiation Protection (ICNIRP) guidelines to comply with the limits for local and whole-body average SAR.

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Section: Validation Of the Mrc-wpt System Computationmentioning

confidence: 99%

Reduction in Human Interaction with Magnetic Resonant Coupling WPT Systems with Grounded Loop

et al. 2021

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Optimization of coupling coils for downhole magnetic resonance wireless energy transmission system

Tian

2024

J. Phys.: Conf. Ser.

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In drilling engineering, resonant wireless energy transmission technology can effectively solve the problem of frequent charging or battery replacement of cable-less electronic tools downhole. However, due to the narrow space, high temperature, and high pressure inside the oil well, as well as the complex environment where oil, water, gas, and sand coexist, the traditional coil shape is not applicable. Therefore, spiral coils with inner and outer casing are usually used. However, in practice, due to the complex downhole environment, resonant wireless energy transmission coupling devices often encounter difficulties when nested downhole, thus affecting the transmission efficiency. To solve these problems and ensure transmission efficiency, a novel coil coupling model is proposed in this paper, and the power and efficiency expressions of the coupled electrical energy transmission system are derived. Subsequently, the spiral cylinder and the novel coil were simulated and analyzed using COMSOL Multiphysics software. The experimental results show that the model maintains a good transmission efficiency and improves the nesting effect in a complex downhole environment. This study provides a valuable reference for the optimization and design of wireless energy transmission systems.

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Recognition of Vibration Dampers Based on Deep Learning Method in UAV Images

LIU,

et al. 2024

IEICE Trans. Inf. & Syst.

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As one of electrical components in transmission lines, vibration damper plays a role in preventing the power lines dancing, and its recognition is an important task for intelligent inspection. However, due to the complex background interference in aerial images, current deep learning algorithms for vibration damper detection often lack accuracy and robustness. To achieve vibration damper detection more accurately, in this study, improved You Only Look Once (YOLO) model is proposed for performing damper detection. Firstly, a damper dataset containing 1900 samples with different scenarios was created. Secondly, the backbone network of YOLOv4 was improved by combining the Res2Net module and Dense blocks, reducing computational consumption and improving training speed. Then, an improved path aggregation network (PANet) structure was introduced in YOLOv4, combined with top-down and bottom-up feature fusion strategies to achieve feature enhancement. Finally, the proposed YOLO model and comparative model were trained and tested on the damper dataset. The experimental results and analysis indicate that the proposed model is more effective and robust than the comparative models. More importantly, the average precision (AP) of this model can reach 98.8%, which is 6.2% higher than that of original YOLOv4 model; and the prediction speed of this model is 62 frames per second (FPS), which is 5 FPS faster than that of YOLOv4 model.

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Effects of Lossy Mediums for Resonator-Coupled Type Wireless Power Transfer System using Conventional Single- and Dual-Spiral Resonators

Cited by 3 publications

References 24 publications

Reduction in Human Interaction with Magnetic Resonant Coupling WPT Systems with Grounded Loop

Reduction in Human Interaction with Magnetic Resonant Coupling WPT Systems with Grounded Loop

Optimization of coupling coils for downhole magnetic resonance wireless energy transmission system

Recognition of Vibration Dampers Based on Deep Learning Method in UAV Images

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