Predictive Quality in Battery ProductionJohn McCarthy Stage
Battery Production is a critical competence for e-mobility and at the same time difficult to predict in sense of Quality. This creates a high amount of scrap which is recognize very late in operational use and with that high cost. The presentation shows, how a combination of Industry 4.0, Machine Learning, Machine connectivity and Digital Twin helps to solve these issues with powerful insights and prediction capabilities. The resulting setup is a blueprint for industrial use in divers and dynamically changing real world environments.