Automated detection of rear contact voids in perc cells with photoluminescence imaging
Journal Article
·
· Solar Energy Materials and Solar Cells
- University of Central Florida, Orlando, FL (United States); US Photovoltaic Manufacturing Consortium, Orlando, FL (United States)
- SONOSCAN, Inc., Elk Grove Village, IL (United States)
An image-processing method combined with Fourier analysis is introduced here in this work as a rapid and highly-automated method of detecting rear contact voids in passivated emitter and rear contact cells (PERC). This approach utilizes photoluminescence (PL) imaging to locate the central point of the most detrimental type of voids and associate a void fraction to each cell in a manner of seconds. Acoustic microscopy and scanning electron microscopy are also used as complementary tools to confirm the presence of voids detection using PL imaging and provide more insight into the actual physical mechanism of what is observed in PL measurements.
- Research Organization:
- State Univ. of New York (SUNY), Albany, NY (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- Grant/Contract Number:
- EE0004947
- OSTI ID:
- 1538851
- Journal Information:
- Solar Energy Materials and Solar Cells, Vol. 179, Issue C; ISSN 0927-0248
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Cited by: 2 works
Citation information provided by
Web of Science
Web of Science
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