Wireless Power Transfer Analysis and Power Efficiency Enhancement via Adaptive Impedance Matching Network

Abdelhamid, Tamer H.; El-Zawawi, Amr; Elreazek, Mostafa Abd

doi:10.1109/icpea51500.2021.9417839

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…A transmit power of 1 W (30 dBm) is typically available for access points, and a receiver can receive an information with a power sensitivity of −60 dBm [ 25 ], which was chosen to be the noise variance in this paper. Self-resonant coils, which are commonly implemented for wireless power transfer, provides an efficiency of 40% in experimentation when a distance between the transmitter and receiver is about 2 m [ 26 ]. Therefore, the energy harvesting efficiency is set at 0.4.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Simultaneous Wireless Information and Power Transfer in Multi-User OFDMA Networks with Physical Secrecy

Sangmahamad

Woradit

Saengudomlert

2022

Sensors

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This paper considers simultaneous wireless information and power transfer (SWIPT) from a base station to multiple Internet of Things (IoT) nodes via orthogonal frequency-division multiple access (OFDMA), where every node can eavesdrop on the subcarriers allocated to other nodes. Application layer encryption is unsuitable for IoT nodes relying on energy harvesting, and physical layer secrecy should be deployed. The different channels among users on every subcarrier can be exploited to obtain physical layer secrecy without using artificial noise. We propose an algorithm to maximize the secrecy rate of IoT nodes by jointly optimizing the power splitting ratio and subcarrier allocation. For fairness, the lowest total secrecy rate among users is maximized. Through simulations, the proposed algorithm is compared with the minimum effort approach, which allocates each subcarrier to the strongest node and selects the minimum sufficient power splitting ratio. The obtained secrecy rate is 3 times (4.5 over 1.5 bps/Hz) higher than that of the minimum effort approach in every case of parameters: the base station’s transmit power, the minimum harvested energy requirement of an IoT node and the energy harvesting efficiency.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Simultaneous Wireless Information and Power Transfer in Multi-User OFDMA Networks with Physical Secrecy

Sangmahamad

Woradit

Saengudomlert

2022

Sensors

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“…Authors increased power efficiency with changing axial lengths and lateral misalignment by using an impedance matching network (IMN). Abdelhamid et al [32], evaluated a number of cutting-edge strategies that have been developed over the past few years, including optimization techniques to increase power transfer efficiency and a study focusing on ways to minimize battery size. A review of electric vehicle (EV) technology, charging systems, and optimization approaches has been published by Patil and Gadgune [33].…”

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confidence: 99%

Optimizing performance parameters of stationary wire free power transfer circuit

Vidya

Keshavan

2023

IJPEDS

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<span lang="EN-US">The power efficiency of the wire free power transmission (WPT) system is tested in this article under various transmission distance circumstances, and the findings are utilized to investigate the best way to regulate the parameters for charging electric vehicles (EVs). The system`s power transfer efficiency is improved over using a fixed resonant frequency by altering it in response to changes in the coupling coefficient. In relation to resonance frequency, a trade-off between output power magnitude and power efficiency is also revealed. Through numerical simulation with Ansys, the trade-off resonant frequencies at various transmission lengths are determined by the analysis. Here, the transmitter and receiver employ circular coils with a circular cross-sectional area and a straightforward but effective series-series (SS) compensation architecture is used for comprehensive analysis.</span>

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A Wide-Range Global Optimal Control Strategy for Wireless Charging Systems in Electric Vehicles

Li,

Tan,

et al. 2024

IEEE Trans. Power Electron.

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Wireless Power Transfer Analysis and Power Efficiency Enhancement via Adaptive Impedance Matching Network

Cited by 3 publications

References 19 publications

Simultaneous Wireless Information and Power Transfer in Multi-User OFDMA Networks with Physical Secrecy

Simultaneous Wireless Information and Power Transfer in Multi-User OFDMA Networks with Physical Secrecy

Optimizing performance parameters of stationary wire free power transfer circuit

A Wide-Range Global Optimal Control Strategy for Wireless Charging Systems in Electric Vehicles

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