Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Automatic Detection and Evaluation of Solar Cell Micro-Cracks in Electroluminescence Images Using Matched Filters

Conference ·

A method for detecting micro-cracks in solar cells using two dimensional matched filters was developed, derived from the electroluminescence intensity profile of typical micro-cracks. We describe the image processing steps to obtain a binary map with the location of the micro-cracks. Finally, we show how to automatically estimate the total length of each micro-crack from these maps, and propose a method to identify severe types of micro-cracks, such as parallel, dendritic, and cracks with multiple orientations. With an optimized threshold parameter, the technique detects over 90 % of cracks larger than 3 cm in length. The method shows great potential for quantifying micro-crack damage after manufacturing or module transportation for the determination of a module quality criterion for cell cracking in photovoltaic modules.

Research Organization:
NREL (National Renewable Energy Laboratory (NREL), Golden, CO (United States))
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1343859
Report Number(s):
NREL/CP-5J00-65814
Country of Publication:
United States
Language:
English

Similar Records

Automatic Crack Segmentation and Feature Extraction in Electroluminescence Images of Solar Modules
Journal Article · Thu Mar 09 23:00:00 EST 2023 · IEEE Journal of Photovoltaics · OSTI ID:1973673

Quantifying Solar Cell Cracks in Photovoltaic Modules by Electroluminescence Imaging
Conference · Sun Jun 14 00:00:00 EDT 2015 · OSTI ID:1311355

A Benchmark for Crack Segmentation in Electroluminescence Images
Dataset · Mon May 30 00:00:00 EDT 2022 · OSTI ID:1871275