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Deep-N-Well-Assisted CMOS Photovoltaic Micro-Cells for Powering the Wearable Sensors

  • Roghaieh Parvizi
  • , Fiheon Imroze
  • , Jinwei Zhao
  • , Martin Weides
  • , Muhammad Ali Imran
  • , Hadi Heidari
  • University of Glasgow

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper investigates the performance of small-area (0.8-1 mm2) silicon photovoltaic cells for powering wearable sensors. Achieving optimal performance under low-flux illumination with longer wavelengths is essential for such applications, but it is challenging for silicon cells due to shunt leakage and recombination losses. To address this, the study employs triple well Deep-N-Well-based on CMOS technology, resulting in demonstrated performance improvements. The measurement results of the I-V characteristics demonstrated an Isc of approximately 140μA and a Voc of 0.51 when illuminated with near-IR incident light. Furthermore, an in-depth analysis of the PV cell's optical and physical performance is conducted using the finite-element method (FEM), which aligns well with the practical characteristics observed in the PV cells. The results show improved power conversion efficiency under low illumination conditions in the near-infrared range, making them suitable for use in implantable devices.

Original languageEnglish
Title of host publication2024 IEEE Sensors, SENSORS 2024 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350363517
DOIs
StatePublished - 2024
Externally publishedYes
Event2024 IEEE Sensors, SENSORS 2024 - Kobe, Japan
Duration: 20 Oct 202423 Oct 2024

Publication series

NameProceedings of IEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference2024 IEEE Sensors, SENSORS 2024
Country/TerritoryJapan
CityKobe
Period20/10/2423/10/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • CMOS technology
  • Energy harvesting
  • photovoltaics
  • silicon
  • spectral response

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