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Dataset for "Separation-Independent Wearable 6.78 MHz Near-Field Radiative Wireless Power Transfer using Electrically-Small Embroidered Textile Coils"

Dataset for "Separation-Independent Wearable 6.78 MHz Near-Field Radiative Wireless Power Transfer using Electrically-Small Embroidered Textile Coils"
Dataset for "Separation-Independent Wearable 6.78 MHz Near-Field Radiative Wireless Power Transfer using Electrically-Small Embroidered Textile Coils"
Dataset supporting Energies paper "Separation-Independent Wearable 6.78 MHz Near-Field Radiative Wireless Power Transfer using Electrically-Small Embroidered Textile Coils" Abstract: "Achieving a wireless power transfer (WPT) link insensitive to separation is a key challenge to achieving power-autonomy through wireless-powering and wireless energy harvesting. While coupled WPT has been widely used for near-field high-efficiency WPT applications, the efficiency of theWPT link is highly sensitive to separation and alignment, making it unsuitable for mobile systems with unknown or loose coupling such as wearables. On the other hand, while ultra-high frequency (UHF) and microwave uncoupled radiativeWPT (0.3-3 GHz) enables meters-long separation between the transmitter and the receivers, the end-to-end efficiency of the WPT link is adversely limited by the propoagation losses. This work proposes radiative WPT, in the 6.78 MHz license-free band, as a solution to separation-independent WPT mitigating the losses associated with coil separation. Resonant electrically small antennas fabricated using embroidered textile coils, tuned using L-matching networks, for wearableWPT. The proposedWPT link achieves a stable forward transmission of S21 > ?17 dB and S21 > ?28 dB, independent of coil separation on the XZ and XY planes respectively, in a 27 m3 volume space. The presented approach demonstrates the highest WPT-link efficiency, and promises higher end-to-end efficiency, compared to UHF WPT."
University of Southampton
Mohamed, Mahmoud
7e7b16ba-0c64-4f95-bd3c-99064055f693
Komolafe, Abiodun
5e79fbab-38be-4a64-94d5-867a94690932
Zaghari, Bahareh
a0537db6-0dce-49a2-8103-0f4599ab5f6a
Mohamed, Mahmoud
7e7b16ba-0c64-4f95-bd3c-99064055f693
Komolafe, Abiodun
5e79fbab-38be-4a64-94d5-867a94690932
Zaghari, Bahareh
a0537db6-0dce-49a2-8103-0f4599ab5f6a

Mohamed, Mahmoud (2020) Dataset for "Separation-Independent Wearable 6.78 MHz Near-Field Radiative Wireless Power Transfer using Electrically-Small Embroidered Textile Coils". University of Southampton doi:10.5258/SOTON/D1205 [Dataset]

Record type: Dataset

Abstract

Dataset supporting Energies paper "Separation-Independent Wearable 6.78 MHz Near-Field Radiative Wireless Power Transfer using Electrically-Small Embroidered Textile Coils" Abstract: "Achieving a wireless power transfer (WPT) link insensitive to separation is a key challenge to achieving power-autonomy through wireless-powering and wireless energy harvesting. While coupled WPT has been widely used for near-field high-efficiency WPT applications, the efficiency of theWPT link is highly sensitive to separation and alignment, making it unsuitable for mobile systems with unknown or loose coupling such as wearables. On the other hand, while ultra-high frequency (UHF) and microwave uncoupled radiativeWPT (0.3-3 GHz) enables meters-long separation between the transmitter and the receivers, the end-to-end efficiency of the WPT link is adversely limited by the propoagation losses. This work proposes radiative WPT, in the 6.78 MHz license-free band, as a solution to separation-independent WPT mitigating the losses associated with coil separation. Resonant electrically small antennas fabricated using embroidered textile coils, tuned using L-matching networks, for wearableWPT. The proposedWPT link achieves a stable forward transmission of S21 > ?17 dB and S21 > ?28 dB, independent of coil separation on the XZ and XY planes respectively, in a 27 m3 volume space. The presented approach demonstrates the highest WPT-link efficiency, and promises higher end-to-end efficiency, compared to UHF WPT."

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Wagih_2020_Energies_Dataset.zip - Dataset
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Published date: 17 January 2020

Identifiers

Local EPrints ID: 437160
URI: http://eprints.soton.ac.uk/id/eprint/437160
PURE UUID: df36ac8c-ba13-4f54-9252-1713ac020a02
ORCID for Mahmoud Mohamed: ORCID iD orcid.org/0000-0002-7806-4333

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Date deposited: 20 Jan 2020 17:31
Last modified: 17 Jul 2021 02:10

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