A Conceptual Framework towards Data-Driven Models in Electrode Production of Lithium-Ion Battery Cells

摘要

The introduction of Industry 4.0 and its driving technologies enables companies to collect data from production systems. The increasing amount of data propels the development of data-driven methods for modeling and predictive analytics. The adoption of these models in battery cell production has been gaining attention over recent years, as the process chain, especially electrode production consists of complex and strongly interrelated process steps. This paper outlines a systematic approach for developing data-driven models in electrode production, including the topic of digitalization and identification of data points. The framework supports practitioners towards digitalization and analysis of interdependencies in electrode production.