Inline Monitoring of Battery Electrode Lamination Processes Based on Acoustic Measurements

Due to the energy transition and growth of electromobility, demand for lithium-ion batteries has increased in recent years. Great demands are being placed on quality battery cells their electrochemical properties. Therefore, understanding interactions between products processes implementation management measures essential factors that requires inline capable process monitoring. In cell lamination processes, a typical problem source issues can be seen missing or misaligned components (anodes, cathodes separators). An automatic detection components, however, not been established thus far. this study, acoustic measurements detect were applied. Although use measurement methods monitoring already proven its usefulness various fields application, it yet applied production. While laminating electrodes separators, emissions recorded. Signal analysis machine learning techniques used acoustically distinguish individual have processed. This way, with balanced accuracy up 83% was possible, proving feasibility concept as an system.