Normal Behavior Modelling for the Mixing Process in Battery Cell Production

The rising global demand for lithium-ion battery cells (LIBs) underscores the need for efficient production processes. Predictive maintenance (PdM) plays a crucial role by transforming data into insights, enhancing equipment reliability. Normal Behavior Modelling (NBM) enables anomaly detection, aiming to improve operational efficiency and product quality in this complex manufacturing environment. An NBM of the extruder is developed using real production data for the electrode mixing process. The model captures the normal behavior of the machine by predicting the pressure as a measure of the system state of the machine. Identifed anomalies are highlighted and can later be used for a full PdM. The results will enhance the monitoring of the LIB production line and prevent unintended downtimes of machines.