Driven by the goal of carbon neutrality, the global installed capacity of photovoltaics is growing at an average annual rate of over 20%. As the core component, the quality of solar cells directly determines the power generation efficiency of the module. Traditional manual inspection can only complete the sorting of 200-300 pieces per hour, while the automatic battery cell EL sorter can achieve high-speed detection of 3000 pieces per hour through electroluminescence imaging technology, with a defect recognition accuracy of 99.5%.

　　Unveiling Technical Principles

　　When a current is applied to the battery cell, the automatic battery cell EL sorter will capture the near-infrared light (wavelength 900-1200nm) emitted by the semiconductor material. Through high-sensitivity CCD camera imaging, the system can clearly display 12 types of process defects such as hidden cracks, broken grids, and sintering defects. According to actual testing data from a leading enterprise, the adoption of this equipment has increased the yield rate of battery cells by 3.2% and reduced silicon waste by over 80 tons annually.

　　Intelligent sorting system

　　The modern automatic battery cell EL sorter integrates deep learning algorithms, which can analyze EL image features in real time and automatically classify battery cells into three levels based on efficiency: A (>23%), B (22% -23%), and C (<22%). The application of a TOPCon production line shows that its sorting speed is several times faster than traditional equipment, and it supports precise grading with an efficiency interval of 0.1%.

　　Industrial application prospects

　　With the popularization of new technologies such as double-sided batteries and HJT, automatic battery cell EL sorting machines are iterating multispectral detection functions. The latest model has achieved automatic recognition of 12BB grid lines and 0.2mm microcracks, with a detection accuracy of ± 0.05%. The industry predicts that by 2027, the global market size of photovoltaic EL detection equipment will exceed 5 billion yuan, with automatic cell EL sorting machines accounting for over 60%.

　　According to data from the China Photovoltaic Association, the utilization rate of EL sorting equipment from mainstream manufacturers has reached 92% in 2024, an increase of 37 percentage points from 2020. This marks that the automatic cell EL sorter has become an indispensable quality gatekeeper for photovoltaic intelligent manufacturing.