Automated Detection Of Rear Contact Voids In Perc Cells With Photoluminescence Imaging
Keywords
Acoustic microscopy; PERC cells; Photoluminescence; Recombination; Voids
Abstract
An image-processing method combined with Fourier analysis is introduced 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.
Publication Date
6-1-2018
Publication Title
Solar Energy Materials and Solar Cells
Volume
179
Number of Pages
31-35
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.solmat.2018.02.009
Copyright Status
Unknown
Socpus ID
85042041592 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85042041592
STARS Citation
Öğütman, Kortan; Davis, Kristopher O.; Ali, Haider; Martell, Steven R.; and Schoenfeld, Winston V., "Automated Detection Of Rear Contact Voids In Perc Cells With Photoluminescence Imaging" (2018). Scopus Export 2015-2019. 9372.
https://stars.library.ucf.edu/scopus2015/9372