Makhetha, MJMarkus, EDAbu-Mahfouz, Adnan MI2023-02-032023-02-032022-11Makhetha, 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/10204/126012352-4847https://doi.org/10.1016/j.egyr.2022.08.261http://hdl.handle.net/10204/12601This 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.FulltextenCo-simulationConformal Strongly Coupled Magnetic ResonanceCSCMRMagnetic resonanceSCMRSelf-resonantWireless Power TransferEfficient wireless power transfer via self-resonant Conformal Strongly Coupled Magnetic Resonance for wireless sensor networksArticleMakhetha, 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/10204/12601Makhetha, 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/10204/12601Makhetha 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.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 -26246