In the production process of photovoltaic cells, electrical performance deviations and latent process defects are the core factors that restrict the quality, power generation efficiency and service life of the components. Traditional separate detection equipment requires step-by-step completion of IV electrical tests and EL defect screening, which is cumbersome, has low testing efficiency, and the data cannot be linked and matched. A single electrical sorting can only determine the power parameters, but cannot identify internal latent defects such as cracks, false welding, broken gates, and black spots. This easily leads to the inclusion of low-efficiency defective cells in the batch of good cells. Manual re-inspection has large errors, inconsistent standards, and a high rate of missed inspections, making it difficult to meet the requirements of efficient, high-precision, and zero-defect modern photovoltaic production quality control. This directly results in rapid power attenuation, increased failure rate, and uneven batch quality of the terminal components, seriously affecting the production line yield and brand quality reputation.

Based on the field of intelligent detection and precise photonic characterization in photovoltaic production, Saifan Optoelectronics relies on mature pulsed sunlight simulation technology, IV-EL synchronous acquisition architecture, and deep learning AI visual recognition algorithms to launch the IV+EL automatic cell sorting machine. It integrates electrical performance testing, internal defect imaging, intelligent grade sorting, and fully automatic production line operation, with dual inspection synchronous integration, high-speed production line detection, AI precise grading, full-automation unmanned operation, and traceable and controllable data. With these core features, it completely solves the industry pain points of low efficiency in separate detection, incomplete single-dimensional determination, and large errors in manual sorting, providing a standardized, efficient, and reliable integrated production solution for photovoltaic cell production quality control, process iteration, batch classification, and quality management.

Integrated IV+EL dual inspection for precise performance defect determination

The equipment adopts self-developed synchronous triggering detection technology to achieve simultaneous completion of IV electrical tests and EL defect imaging, and real-time data linkage. It breaks the drawbacks of traditional equipment's step-by-step detection, data fragmentation, and one-dimensional determination. The high-precision IV test unit is equipped with a 3A-class pulsed xenon light source, accurately replicating the standard AM1.5G sunlight condition, quickly collecting the I-V and P-V characteristic curves of the cell, and fully analyzing and converting all core electrical parameters such as efficiency, peak power, open-circuit voltage, short-circuit current, fill factor, series resistance, leakage resistance, etc., accurately determining the power grade of the cell, and quantifying the performance quality of each cell.

It is equipped with a high-definition sealed EL imaging detection system, relying on deep learning AI visual algorithms, which can accurately and non-destructively identify various latent process defects of the cell, covering fine cracks, false welding and missing welding, broken gates, edge damage, surface contamination, local failure, etc., which are undetectable by the naked eye. Through the cross-determination of "electrical performance data + optical defect image", it completely eliminates the problems of misjudgment and missed judgment caused by a single detection, achieving comprehensive screening of cell quality, and ensuring the consistency and reliability of the produced photovoltaic cells from the source.

High-speed pulsed non-thermal testing, suitable for high-frequency production rhythm

The equipment adopts a mature pulsed flash test architecture, completing light collection in milliseconds, without continuous heat radiation or sample temperature rise interference, eliminating test distortion and performance damage caused by battery cell thermal drift. Compared with steady-state detection equipment, the test speed has been significantly improved, and the detection time for a single cell is extremely short, which can perfectly match the high-speed flow of the photovoltaic production line and adapt to continuous high-frequency operations throughout the day. The non-thermal testing feature can effectively protect the original performance of the battery cell, avoiding secondary damage such as cracks, efficiency degradation during the detection process, and ensuring that the test data is truly consistent with the actual power generation conditions of the cell.

The light source strictly follows the IEC 60904-9 international standard, with spectral matching, uniform irradiation, and time stability reaching top standards, ensuring uniform light spots throughout the entire cell without hotspots, dark areas, or gradient deviations, guaranteeing the uniform illumination of the entire cell and extremely strong repeatability and consistency of the test data. The equipment maintains stable spectral characteristics and no light intensity attenuation during long-term operation. It has excellent batch detection stability and fully meets the requirements for long-term standardized quality inspection in large-scale production.

The fully automated production line operation reduces costs and improves efficiency while eliminating human errors.

The entire machine integrates automatic feeding, precise alignment, synchronous detection, intelligent judgment, classification and sorting, automatic discharging, and data archiving. It adopts an integrated automated architecture for the entire process of battery sheet detection and sorting, achieving unmanned operation throughout the detection and sorting process. It is equipped with high-precision transmission and optical positioning modules, which can automatically adapt to different-sized battery sheets without the need for manual alignment or frequent adjustments, completely avoiding alignment deviations, testing errors, and inconsistent sorting standards caused by manual operations, significantly improving the consistency of batch detection and the accuracy of quality control.

The equipment is compatible with the standardized production process of photovoltaic products and supports 24-hour continuous stable operation. It has a low failure rate, stable operation, and a very low fragmentation rate. Compared with the traditional step-by-step manual detection mode, the comprehensive detection and sorting efficiency is increased by several times, significantly reducing labor costs and rework losses. It effectively solves the bottleneck of production quality inspection capacity and helps the production line improve quality, increase efficiency, and reduce costs.

AI intelligent classification and grading, standardized batch precise sorting

The equipment is equipped with a dedicated intelligent measurement and control system for mass production, which includes a special AI sorting algorithm for photovoltaic cells. It supports enterprises to customize power levels, defect determination thresholds, and quality grading standards, and can flexibly adapt to the grading requirements of different production lines, different processes, and different customers. The system automatically completes the precise classification of high-quality products, qualified products, defective products, and scrap products based on the measured electrical parameters and defect detection results. The grading logic is rigorous and unified, eliminating subjective errors and misclassification, and inconsistent grading caused by manual grading.

The entire process of detection data, EL defect images, and sorting grade results are linked and stored in real time, automatically generating standardized mass production quality inspection reports, supporting batch statistics, data review, qualified rate analysis, and process deviation traceability. The complete data traceability system perfectly adapts to the strict requirements of photovoltaic enterprises for refined production management, quality control, and customer acceptance review, helping to continuously optimize the production process.

Broadly compatible and applicable to all categories of mass-produced photovoltaic cells

The equipment adopts a universal flexible adaptation architecture, which can flexibly adapt to all mainstream photovoltaic cell types. It fully supports P-type/N-type conventional cells, PERC, TOPCon, HJT, half-slice/whole-slice cells, double-sided cells, etc., and can adapt to different sizes, power ratings, and processes of cell sheet detection and sorting. It can be used for multiple purposes, has strong versatility, and can be adapted to the product iteration and upgrade of the production line without the need to replace the equipment, significantly increasing equipment reuse rate and reducing the investment cost of production line equipment.

In response to the high-precision and zero-defect quality control core requirements of photovoltaic mass production, the equipment is equipped with multiple baseline self-checks, light path correction, temperature drift compensation, and error calibration mechanisms, which can effectively shield detection interference caused by environmental light, temperature fluctuations, and changes in equipment working conditions. The long-term operation accuracy is stable and reliable, fully meeting the standardized and refined quality control system of photovoltaic large-scale production.

Modular expansion design, adaptable to production line iteration upgrades

The equipment adopts an open modular architecture, with sufficient interfaces for function upgrades and production line integration. It can be expanded with high-level function modules as needed. It can be combined with an appearance AOI visual inspection module to achieve three-dimensional quality inspection of appearance, electrical performance, and defects; it can be connected to the factory MES production management system to achieve data interconnection and intelligent digital control of the production line; it can be expanded with multi-level precision sorting, batch data statistics analysis, and process anomaly warning functions, providing comprehensive adaptation to multiple levels of requirements such as mass production quality inspection, process optimization, quality upgrade, and intelligent factory transformation. The equipment can be updated and upgraded synchronously with the production line process.

The core pulsed light source system, the IV high-speed sampling unit, the EL visual inspection module, and the AI intelligent sorting algorithm are all independently developed and controllable. The overall detection accuracy, sorting stability, operational reliability, and mass production adaptability are all benchmarked against imported high-end sorting equipment. At the same time, it completely solves the industry pain points of high cost of imported equipment, long delivery cycle, delayed after-sales response, poor line adaptability, high operation and maintenance costs, and difficult upgrades. It has the core advantages of dual inspection synchronous efficiency, precise and stable sorting, high automation level, wide adaptability, convenient operation and maintenance, and outstanding cost performance. It is a benchmark equipment for the domestic substitution of photovoltaic mass production intelligent quality inspection.

The manufacturer provides on-site installation and commissioning, line adaptation and connection, operation training, lifelong technical support, and customized function upgrade one-stop services. It can quickly adapt to various photovoltaic mass production line conditions, significantly reducing the equipment procurement, production line operation and maintenance, and iterative upgrade costs of enterprises, and helping the photovoltaic industry achieve intelligent, standardized, and efficient quality improvement and upgrading.

Dual inspection lays the foundation for precise quality control, and empowers the efficient upgrade of photovoltaic mass production.

The quality upgrade of photovoltaic mass production relies on precise, comprehensive, and efficient standardized intelligent detection. The Sefan IV + EL automatic sorting machine for battery sorting combines IV + EL dual inspection, uses AI intelligent precise sorting, realizes fully automatic unmanned operation, is highly compatible for high-speed mass production, and conducts comprehensive defect screening. It covers all scenarios of photovoltaic cell production quality inspection, power classification, defect detection, process iteration, and batch control, providing solid and reliable intelligent detection support for the large-scale, intelligent, and high-quality production of the photovoltaic industry.