Optimized Measurement Technology for c-Si Solar Cell Processes

The OptiLearn project aims to investigate new measurement methods for in-line application in the production of c-Si solar cells, combined measurement approaches and linked measurement chains, as well as machine learning-based data concepts. The aim is to develop new approaches to monitoring, analysis, and forecasting techniques for solar cell production. CE Cell Engineering is contributing to the achievement of these goals by conducting fundamental research to gain insights from LBIC data at increased bias voltages and by developing the necessary technology to record high-resolution LBIC data during the LECO process and convert it into usable images. This technology will be integrated into the MK4 platform at Fraunhofer CSP to enable the high-resolution and spatially resolved current values to be used as a useful supplement to the other cell data collected in the line for comprehensive inline quality monitoring. For Fraunhofer CSP, the project goal is to provide a customized, automated MK4 platform, establish new measurement procedures on this platform, and provide algorithms for evaluating large amounts of data with the aim of making them applicable in production environments.