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 language | English |
|---|---|
| Title of host publication | 2024 IEEE Sensors, SENSORS 2024 - Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350363517 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
| Event | 2024 IEEE Sensors, SENSORS 2024 - Kobe, Japan Duration: 20 Oct 2024 → 23 Oct 2024 |
Publication series
| Name | Proceedings of IEEE Sensors |
|---|---|
| ISSN (Print) | 1930-0395 |
| ISSN (Electronic) | 2168-9229 |
Conference
| Conference | 2024 IEEE Sensors, SENSORS 2024 |
|---|---|
| Country/Territory | Japan |
| City | Kobe |
| Period | 20/10/24 → 23/10/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- CMOS technology
- Energy harvesting
- photovoltaics
- silicon
- spectral response
Fingerprint
Dive into the research topics of 'Deep-N-Well-Assisted CMOS Photovoltaic Micro-Cells for Powering the Wearable Sensors'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver