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 |