Auto-tuning matching network for wireless power transfer
Wireless power transfer is increasingly attractive to electronic products, especially for implantable devices. One of the challenges is to maintain maximum power transfer efficiency even in dynamic environment (distance, alignment and load). The application of magnetically resonant coupling techn...
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sg-ntu-dr.10356-687482023-07-04T15:38:54Z Auto-tuning matching network for wireless power transfer Wang, Long Goh Wang Ling School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Wireless power transfer is increasingly attractive to electronic products, especially for implantable devices. One of the challenges is to maintain maximum power transfer efficiency even in dynamic environment (distance, alignment and load). The application of magnetically resonant coupling technology can achieve strong coupling between two coils, where the coupling coefficient between two coils can reach 0.7-0.9 and hence high power transfer efficient is possible. However, the power transfer efficient suffers significantly with a slight impedance mismatch at both the transmitter and receiver in high quality factor (Q) system. This dissertation focuses on the matching network of the receiver where coupling coefficient of 0-0.9 is investigated. The impedance matching network using parallel capacitors with binary value is constructed. An improved auto-tuning algorithm is proposed based on the simulation result that the output voltage and matching capacitance present a parabolic relation. Following which, the algorithm is implemented into digital circuit using Verilog Hardware Description Language (HDL). Mixed-signal simulation (analog and digital circuit) shows that the optimum matching state can be tracked adaptively through the digital circuit. Additionally, a printed circuit board has been successfully designed and built to verify the auto-tuning function of the adaptive matching system in dynamic environment. Master of Science (Electronics) 2016-05-31T08:13:54Z 2016-05-31T08:13:54Z 2016 Thesis http://hdl.handle.net/10356/68748 en 72 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Wang, Long Auto-tuning matching network for wireless power transfer |
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Wireless power transfer is increasingly attractive to electronic products, especially
for implantable devices. One of the challenges is to maintain maximum power
transfer efficiency even in dynamic environment (distance, alignment and load). The
application of magnetically resonant coupling technology can achieve strong
coupling between two coils, where the coupling coefficient between two coils can
reach 0.7-0.9 and hence high power transfer efficient is possible. However, the
power transfer efficient suffers significantly with a slight impedance mismatch at
both the transmitter and receiver in high quality factor (Q) system. This dissertation
focuses on the matching network of the receiver where coupling coefficient of 0-0.9
is investigated.
The impedance matching network using parallel capacitors with binary value is
constructed. An improved auto-tuning algorithm is proposed based on the simulation
result that the output voltage and matching capacitance present a parabolic relation.
Following which, the algorithm is implemented into digital circuit using Verilog
Hardware Description Language (HDL). Mixed-signal simulation (analog and digital
circuit) shows that the optimum matching state can be tracked adaptively through the
digital circuit. Additionally, a printed circuit board has been successfully designed
and built to verify the auto-tuning function of the adaptive matching system in
dynamic environment. |
author2 |
Goh Wang Ling |
author_facet |
Goh Wang Ling Wang, Long |
format |
Theses and Dissertations |
author |
Wang, Long |
author_sort |
Wang, Long |
title |
Auto-tuning matching network for wireless power transfer |
title_short |
Auto-tuning matching network for wireless power transfer |
title_full |
Auto-tuning matching network for wireless power transfer |
title_fullStr |
Auto-tuning matching network for wireless power transfer |
title_full_unstemmed |
Auto-tuning matching network for wireless power transfer |
title_sort |
auto-tuning matching network for wireless power transfer |
publishDate |
2016 |
url |
http://hdl.handle.net/10356/68748 |
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1772827260339879936 |