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.

本研究针对太阳能储能系统用锂离子电池的制造质量管理展开探讨，旨在通过半自动化技术与数字数据集成手段提升质量管理水平。本数据集涵盖单台电池单元的老化数据（包含电压与温度指标）以及各电池单元的缺陷记录。本研究对该数据集开展分析工作，以评估电池性能、识别质量变化趋势，并评估制造质量的优化改进效果。