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Efficient wireless power transfer via self-resonant Conformal Strongly Coupled Magnetic Resonance for wireless sensor networks

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dc.contributor.author Makhetha, MJ
dc.contributor.author Markus, ED
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2023-02-03T08:26:37Z
dc.date.available 2023-02-03T08:26:37Z
dc.date.issued 2022-11
dc.identifier.citation Makhetha, M., Markus, E. & Abu-Mahfouz, A.M. 2022. Efficient wireless power transfer via self-resonant Conformal Strongly Coupled Magnetic Resonance for wireless sensor networks. <i>Energy Reports, vol 8(suppl3).</i> http://hdl.handle.net/10204/12601 en_ZA
dc.identifier.issn 2352-4847
dc.identifier.uri https://doi.org/10.1016/j.egyr.2022.08.261
dc.identifier.uri http://hdl.handle.net/10204/12601
dc.description.abstract This paper presents a wireless power transfer (WPT) technique based on self-resonant Conformal Strongly Coupled Magnetic Resonance (CSCMR) model. The proposed model is compared to a capacitor-loaded mode in terms of their transmission efficiency through simulations. The simulations are run using MATLAB, High Frequency Structure Simulator (HFSS) and OptiSLang. Results confirm that a self-resonant CSCMR-WPT performs better than a capacitor loaded model. To achieve an efficient WPT, a lot of resources may be required for the model which necessitates a high computational time. Hence, compared to using only a 3D simulation software as reported in many literature, a co-simulation is performed between HFSS and OptiSLang to reduce computational resources. Furthermore, using MATLAB to conceptualise the CSCMR resonators gives better guidance and satisfactory results which shortens the simulation times by providing estimated WPT system parameters for an optimal model. The study concludes that, using the co-simulation has reduced computational time by 93% compared to only using the full-wave electromagnetic simulation (HFSS) which translates to quicker design time of WPT. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S235248472201705X en_US
dc.source Energy Reports, vol 8(suppl3) en_US
dc.subject Co-simulation en_US
dc.subject Conformal Strongly Coupled Magnetic Resonance en_US
dc.subject CSCMR en_US
dc.subject Magnetic resonance en_US
dc.subject SCMR en_US
dc.subject Self-resonant en_US
dc.subject Wireless Power Transfer en_US
dc.title Efficient wireless power transfer via self-resonant Conformal Strongly Coupled Magnetic Resonance for wireless sensor networks en_US
dc.type Article en_US
dc.description.pages 1358-1367 en_US
dc.description.note © 2022 The Author(s). Published by Elsevier Ltd. This is an open-access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea EDT4IR Management en_US
dc.identifier.apacitation Makhetha, M., Markus, E., & Abu-Mahfouz, A. M. (2022). Efficient wireless power transfer via self-resonant Conformal Strongly Coupled Magnetic Resonance for wireless sensor networks. <i>Energy Reports, vol 8(suppl3)</i>, http://hdl.handle.net/10204/12601 en_ZA
dc.identifier.chicagocitation Makhetha, MJ, ED Markus, and Adnan MI Abu-Mahfouz "Efficient wireless power transfer via self-resonant Conformal Strongly Coupled Magnetic Resonance for wireless sensor networks." <i>Energy Reports, vol 8(suppl3)</i> (2022) http://hdl.handle.net/10204/12601 en_ZA
dc.identifier.vancouvercitation Makhetha M, Markus E, Abu-Mahfouz AM. Efficient wireless power transfer via self-resonant Conformal Strongly Coupled Magnetic Resonance for wireless sensor networks. Energy Reports, vol 8(suppl3). 2022; http://hdl.handle.net/10204/12601. en_ZA
dc.identifier.ris TY - Article AU - Makhetha, MJ AU - Markus, ED AU - Abu-Mahfouz, Adnan MI AB - This paper presents a wireless power transfer (WPT) technique based on self-resonant Conformal Strongly Coupled Magnetic Resonance (CSCMR) model. The proposed model is compared to a capacitor-loaded mode in terms of their transmission efficiency through simulations. The simulations are run using MATLAB, High Frequency Structure Simulator (HFSS) and OptiSLang. Results confirm that a self-resonant CSCMR-WPT performs better than a capacitor loaded model. To achieve an efficient WPT, a lot of resources may be required for the model which necessitates a high computational time. Hence, compared to using only a 3D simulation software as reported in many literature, a co-simulation is performed between HFSS and OptiSLang to reduce computational resources. Furthermore, using MATLAB to conceptualise the CSCMR resonators gives better guidance and satisfactory results which shortens the simulation times by providing estimated WPT system parameters for an optimal model. The study concludes that, using the co-simulation has reduced computational time by 93% compared to only using the full-wave electromagnetic simulation (HFSS) which translates to quicker design time of WPT. DA - 2022-11 DB - ResearchSpace DP - CSIR J1 - Energy Reports, vol 8(suppl3) KW - Co-simulation KW - Conformal Strongly Coupled Magnetic Resonance KW - CSCMR KW - Magnetic resonance KW - SCMR KW - Self-resonant KW - Wireless Power Transfer LK - https://researchspace.csir.co.za PY - 2022 SM - 2352-4847 T1 - Efficient wireless power transfer via self-resonant Conformal Strongly Coupled Magnetic Resonance for wireless sensor networks TI - Efficient wireless power transfer via self-resonant Conformal Strongly Coupled Magnetic Resonance for wireless sensor networks UR - http://hdl.handle.net/10204/12601 ER - en_ZA
dc.identifier.worklist 26246 en_US


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