Automatic Solar Cell PL Tester
The Automatic Solar Cell PL Tester is a high-efficiency, non-contact inspection and sorting equipment integrated at the backend of photovoltaic cell production lines. It utilizes a high-power laser to excite the photoluminescence (PL) signal from solar cells. A high-sensitivity camera captures this signal to generate PL images. Combined with advanced image processing algorithms, it automatically completes rapid screening of internal defects (such as micro-cracks, finger interruptions, contamination, material inhomogeneity, and sintering issues), performance evaluation (e.g., efficiency prediction), and grade sorting (e.g., grading based on efficiency, defect severity) for high-speed conveyed cells in an extremely short time (typically just a few seconds). It then automatically sorts cells of different grades into corresponding bins, significantly improving production line sorting efficiency and product consistency.
Product Features
High-Speed Automation Integration: Seamlessly integrates into production lines, enabling automatic loading, conveying, inspection, sorting, and unloading of cells. Features an extremely high Units Per Hour (UPH) capacity, meeting the high-speed requirements of large-scale production.
Non-Contact & Non-Destructive Inspection: Employs laser-excited photoluminescence (PL) technology, requiring no physical contact with the cell. This completely avoids potential scratches or stress damage during inspection, ensuring cell integrity.
Trifecta of Core Functions: Rapid Defect Screening: High-speed, precise detection of key internal defects like micro-cracks, finger interruptions, contamination, and sintering issues. Synchronous Performance Evaluation: Intelligent algorithms based on PL signals predict core performance parameters like cell conversion efficiency. Automatic Grade Sorting: Automatically sorts cells into different bins based on preset criteria (e.g., predicted efficiency, defect severity).
Intelligent Algorithms & Precise Sorting: Equipped with advanced image processing and data analysis algorithms, ensuring accurate defect identification and reliable efficiency prediction. Drives high-precision mechanical actuators for stable and accurate automatic sorting.
Traceable Production Data Management: Comprehensively records PL images, defect information, predicted efficiency, sorting grade, and other data for each cell. Generates detailed reports, providing robust support for production monitoring, quality analysis, and product traceability.
Technical Specifications
Model: YHFX-ZDPL
Cell Specification: Compatible with Mono-crystalline, Poly-crystalline cells, PERC, HJT, TOPCon, etc.
Camera Resolution: 5 Megapixels
Camera Type: Custom High-Definition Industrial Camera
Sensitivity: Detects cracks narrower than 0.03mm
Testing Direction: Vertical Downward
Laser Power: 50W
Breakage Rate: ≤0.05% (Grade A cells)
Throughput (UPH): 2000~5000 cells/hour
Sorting Bins: 8 Sorting Bins (Optional)
Loading/Unloading: Automatic
Effective Test Area: 230*230mm
Functional Expansion: EL/IV Testing Function Optional
Product Applications
Core Mass Production Equipment: Integrated at the end of cell production lines, enabling high-speed, inline, automated inspection and sorting of large volumes of cells, significantly enhancing production efficiency and product consistency.
Non-Destructive Defect Screening: Utilizes non-contact PL technology for rapid, precise, and full inspection of key internal cell defects (e.g., micro-cracks, finger interruptions, contamination, sintering issues), replacing or supplementing traditional destructive testing.
Intelligent Grading & Matching: Intelligently predicts cell conversion efficiency grades based on PL signals and combines multi-dimensional standards (defects/appearance) for high-precision automatic sorting. Provides accurately matched cell sources for module encapsulation.
Traceable Data Loop: Provides a complete data chain for each cell (PL image, defects, predicted efficiency, sorting result), supporting production yield analysis, process traceability, quality improvement, and module power prediction.
