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J. Low Power Electron. Appl. 2017, 7(4), 33; doi:10.3390/jlpea7040033

A Low-Power CMOS Piezoelectric Transducer Based Energy Harvesting Circuit for Wearable Sensors for Medical Applications

1
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996-2250, USA
2
Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996-2210, USA
*
Author to whom correspondence should be addressed.
Received: 20 September 2017 / Revised: 8 December 2017 / Accepted: 12 December 2017 / Published: 18 December 2017
(This article belongs to the Special Issue Low-Power Electronic Circuits for Monolithic Smart Wireless Sensors)
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Abstract

Piezoelectric vibration based energy harvesting systems have been widely utilized and researched as powering modules for various types of sensor systems due to their ease of integration and relatively high energy density compared to RF, thermal, and electrostatic based energy harvesting systems. In this paper, a low-power CMOS full-bridge rectifier is presented as a potential solution for an efficient energy harvesting system for piezoelectric transducers. The energy harvesting circuit consists of two n-channel MOSFETs (NMOS) and two p-channel MOSFETs (PMOS) devices implementing a full-bridge rectifier coupled with a switch control circuit based on a PMOS device driven by a comparator. With a load of 45 kΩ, the output rectifier voltage and the input piezoelectric transducer voltage are 694 mV and 703 mV, respectably, while the VOUT versus VIN conversion ratio is 98.7% with a PCE of 52.2%. The energy harvesting circuit has been designed using 130 nm standard CMOS process. View Full-Text
Keywords: AC-DC power conversion; energy harvesting; piezoelectric transducer; active rectifier; switch based rectifier AC-DC power conversion; energy harvesting; piezoelectric transducer; active rectifier; switch based rectifier
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Oh, T.; Islam, S.K.; Mahfouz, M.; To, G. A Low-Power CMOS Piezoelectric Transducer Based Energy Harvesting Circuit for Wearable Sensors for Medical Applications. J. Low Power Electron. Appl. 2017, 7, 33.

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