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A Q-Modulation Technique for Efficient Inductive Power Transmissionopen access

Authors
Kiani, MehdiLee, Byung hunYeon, PyungwooGhovanloo, Maysam
Issue Date
Dec-2015
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Battery charging; electric vehicles; implantable microelectronic devices; inductive links; power management; Q-modulation; wireless power transmission
Citation
IEEE Journal of Solid-State Circuits, v.50, no.12, pp.2839 - 2848
Indexed
SCIE
SCOPUS
Journal Title
IEEE Journal of Solid-State Circuits
Volume
50
Number
12
Start Page
2839
End Page
2848
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/155602
DOI
10.1109/JSSC.2015.2453201
ISSN
0018-9200
Abstract
A fully integrated power management ASIC for efficient inductive power transmission has been presented capable of automatic load transformation using a method, called Q-modulation. Q-modulation is an adaptive scheme that offers load matching against a wide range of loading (R-L) and coupling distance (d(23)) variations in inductive links to maintain high power transfer efficiency (PTE). It is suitable for inductive powering implantable microelectronic devices (IMDs), recharging mobile electronics, and electric vehicles. In Q-modulation, the zero-crossings of the induced current in the receiver (Rx) LC-tank are detected and a low-loss switch chops the Rx LC-tank for part of the power carrier cycle to form a high-Q LC-tank and store the maximum energy, which is then transferred to R-L by opening the switch. By adjusting the duty cycle (D), the loaded-Q of the Rx LC-tank can be dynamically modulated to compensate for variations in R-L. A Q-modulation power management (QMPM) prototype chip was fabricated in a 0.35 mu m standard CMOS process, occupying 4.8 mm(2). In a 1.45 W wireless power transfer setup, using a class-E power amplifier (PA) operating at 2 MHz, the QMPM successfully increased the inductive link PTE and the overall power efficiency by 98.5% and 120.7% at d(23) = 8 cm, respectively, by compensating for 150 Omega variation in R-L at D = 45%.
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COLLEGE OF ENGINEERING (서울 바이오메디컬공학전공)
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