Optimization of Wireless Power Transfer via Magnetic Resonance in Different Media
A wide range of non-destructive testing (NDT) methods for the monitoring the health of concrete structure has been studied for several years. The recent rapid evolution of wireless sensor network (WSN) technologies has resulted in the development of sensing elements that can be embedded in concrete,...
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ndltd-fiu.edu-oai-digitalcommons.fiu.edu-etd-19932018-01-05T15:34:20Z Optimization of Wireless Power Transfer via Magnetic Resonance in Different Media Jonah, Olutola A wide range of non-destructive testing (NDT) methods for the monitoring the health of concrete structure has been studied for several years. The recent rapid evolution of wireless sensor network (WSN) technologies has resulted in the development of sensing elements that can be embedded in concrete, to monitor the health of infrastructure, collect and report valuable related data. The monitoring system can potentially decrease the high installation time and reduce maintenance cost associated with wired monitoring systems. The monitoring sensors need to operate for a long period of time, but sensors batteries have a finite life span. Hence, novel wireless powering methods must be devised. The optimization of wireless power transfer via Strongly Coupled Magnetic Resonance (SCMR) to sensors embedded in concrete is studied here. First, we analytically derive the optimal geometric parameters for transmission of power in the air. This specifically leads to the identification of the local and global optimization parameters and conditions, it was validated through electromagnetic simulations. Second, the optimum conditions were employed in the model for propagation of energy through plain and reinforced concrete at different humidity conditions, and frequencies with extended Debye's model. This analysis leads to the conclusion that SCMR can be used to efficiently power sensors in plain and reinforced concrete at different humidity levels and depth, also validated through electromagnetic simulations. The optimization of wireless power transmission via SMCR to Wearable and Implantable Medical Device (WIMD) are also explored. The optimum conditions from the analytics were used in the model for propagation of energy through different human tissues. This analysis shows that SCMR can be used to efficiently transfer power to sensors in human tissue without overheating through electromagnetic simulations, as excessive power might result in overheating of the tissue. Standard SCMR is sensitive to misalignment; both 2-loops and 3-loops SCMR with misalignment-insensitive performances are presented. The power transfer efficiencies above 50% was achieved over the complete misalignment range of 0°-90° and dramatically better than typical SCMR with efficiencies less than 10% in extreme misalignment topologies. 2013-03-22T07:00:00Z text application/pdf http://digitalcommons.fiu.edu/etd/876 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=1993&context=etd FIU Electronic Theses and Dissertations FIU Digital Commons magnetic resonance strong coupling concrete tissue optimal parameters misalignment conformal Electromagnetics and Photonics Other Electrical and Computer Engineering Power and Energy |
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magnetic resonance strong coupling concrete tissue optimal parameters misalignment conformal Electromagnetics and Photonics Other Electrical and Computer Engineering Power and Energy |
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magnetic resonance strong coupling concrete tissue optimal parameters misalignment conformal Electromagnetics and Photonics Other Electrical and Computer Engineering Power and Energy Jonah, Olutola Optimization of Wireless Power Transfer via Magnetic Resonance in Different Media |
description |
A wide range of non-destructive testing (NDT) methods for the monitoring the health of concrete structure has been studied for several years. The recent rapid evolution of wireless sensor network (WSN) technologies has resulted in the development of sensing elements that can be embedded in concrete, to monitor the health of infrastructure, collect and report valuable related data. The monitoring system can potentially decrease the high installation time and reduce maintenance cost associated with wired monitoring systems. The monitoring sensors need to operate for a long period of time, but sensors batteries have a finite life span. Hence, novel wireless powering methods must be devised.
The optimization of wireless power transfer via Strongly Coupled Magnetic Resonance (SCMR) to sensors embedded in concrete is studied here. First, we analytically derive the optimal geometric parameters for transmission of power in the air. This specifically leads to the identification of the local and global optimization parameters and conditions, it was validated through electromagnetic simulations. Second, the optimum conditions were employed in the model for propagation of energy through plain and reinforced concrete at different humidity conditions, and frequencies with extended Debye's model. This analysis leads to the conclusion that SCMR can be used to efficiently power sensors in plain and reinforced concrete at different humidity levels and depth, also validated through electromagnetic simulations.
The optimization of wireless power transmission via SMCR to Wearable and Implantable Medical Device (WIMD) are also explored. The optimum conditions from the analytics were used in the model for propagation of energy through different human tissues. This analysis shows that SCMR can be used to efficiently transfer power to sensors in human tissue without overheating through electromagnetic simulations, as excessive power might result in overheating of the tissue.
Standard SCMR is sensitive to misalignment; both 2-loops and 3-loops SCMR with misalignment-insensitive performances are presented. The power transfer efficiencies above 50% was achieved over the complete misalignment range of 0°-90° and dramatically better than typical SCMR with efficiencies less than 10% in extreme misalignment topologies. |
author |
Jonah, Olutola |
author_facet |
Jonah, Olutola |
author_sort |
Jonah, Olutola |
title |
Optimization of Wireless Power Transfer via Magnetic Resonance in Different Media |
title_short |
Optimization of Wireless Power Transfer via Magnetic Resonance in Different Media |
title_full |
Optimization of Wireless Power Transfer via Magnetic Resonance in Different Media |
title_fullStr |
Optimization of Wireless Power Transfer via Magnetic Resonance in Different Media |
title_full_unstemmed |
Optimization of Wireless Power Transfer via Magnetic Resonance in Different Media |
title_sort |
optimization of wireless power transfer via magnetic resonance in different media |
publisher |
FIU Digital Commons |
publishDate |
2013 |
url |
http://digitalcommons.fiu.edu/etd/876 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=1993&context=etd |
work_keys_str_mv |
AT jonaholutola optimizationofwirelesspowertransferviamagneticresonanceindifferentmedia |
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1718581430334783488 |