Ajou University repository

A Capacitive DC-DC Boost Converter with Gate Bias Boosting and Dynamic Body Biasing for an RF Energy Harvesting Systemoa mark
Citations

SCOPUS

6

Citation Export

Publication Year
2023-01-01
Publisher
MDPI
Citation
Sensors, Vol.23
Keyword
boost convertercharge pumpDC-DC converterhigh efficiencyRF energy harvesting
Mesh Keyword
Body biasingBOOST converterCharge-pumpDc - dc boost convertersGate biasHigher efficiencyInput voltagesPeak powerPower conversion efficienciesRF energy harvesting
All Science Classification Codes (ASJC)
Analytical ChemistryInformation SystemsBiochemistryAtomic and Molecular Physics, and OpticsInstrumentationElectrical and Electronic Engineering
Abstract
In this paper, a fully integrated capacitive DC-DC boost converter for ultra-low-power internet of things (IoT) applications operating with RF energy harvesting is proposed. A DC-DC boost converter is needed to boost the low output voltage of the RF energy harvester to provide a high voltage to the load. However, a boost converter operating at a low voltage supplied by ambient RF energy harvesting has a problem in that power conversion efficiency is significantly lowered. The proposed on-chip capacitive DC-DC boost converter simultaneously applies gate bias boosting and dynamic body biasing techniques using only the internal boosted voltage without an additional circuit that increases power loss to boost the voltage, achieving high efficiency at an input voltage as low as 0.1 V. The designed capacitive boost converter achieves a peak power conversion efficiency (PCE) of 33.8% at a very low input voltage of 0.1 V, a 14% improvement over the peak PCE of the conventional cross-coupled charge pump. A maximum peak PCE of 80.1% is achieved at an input voltage of 200 mV and a load current of 3 μA. The proposed capacitive boost converter is implemented with a total flying capacitance of 60 pF, suitable for on-chip integration.
ISSN
1424-8220
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33172
DOI
https://doi.org/10.3390/s23010395
Fulltext

Type
Article
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2021R1A2C1010613).
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

 Kwon, Ickjin Image
Kwon, Ickjin권익진
Department of Electrical and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.