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Abstract
This paper examines the suitability of selected configurations of ultra-low voltage (ULV) oscilla-tors as starters for a voltage boost converter to harvest energy from a thermoelectric generator (TEG). Important properties of particularly promising configurations, suitable for on-chip imple-mentation are compared. On this basis, an improved oscillator with a low startup voltage and a high output voltage swing is proposed. The applicability of n-channel native MOS transistors with negative or near-zero threshold voltage in ULV oscillators is analyzed. The results demonstrate that a near-zero threshold voltage transistor operating in the weak inversion region is most ad-vantageous for the considered application. The obtained results were used as a reference for de-sign of a boost converter starter intended for integration in 180-nm CMOS X-FAB technology. In the selected technology, the most suitable transistor available with a negative threshold voltage was used. Despite using a transistor with a negative threshold voltage, a low startup voltage of 29 mV, a power consumption of 70 µW, and power conversion efficiency of about 1.5% were achieved. A great advantage of the proposed starter is that it eliminates a multistage charge pump necessary to obtain a voltage of sufficient value to supply the boost converter control circuit.
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Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/en14144092
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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ENERGIES
no. 14,
ISSN: 1996-1073 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Blakiewicz G., Jakusz J., Jendernalik W.: Starter for Voltage Boost Converter to Harvest Thermoelectric Energy for Body-Worn Sensors// ENERGIES -Vol. 14,iss. 14 (2021), s.4092-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/en14144092
- Sources of funding:
-
- Statutory activity/subsidy
- Project CMOS sensor with smart grid of pixels of layered structure for fast acquisition and simultaneous extraction of information from image
- Verified by:
- Gdańsk University of Technology
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