Enhancing quality management through semiautomation and digital integration for solar

This research examines the use of semi-automation and digital data integration to enhance quality management in lithium-ion battery manufacturing for solar energy storage systems. The dataset includes battery aging data (voltage and temperature) and defect records per battery unit. The data was analysed to assess battery performance, identify quality trends, and evaluate improvements in manufacturing quality.