TY - JOUR A1 - Zanotto, Franco M. A1 - Zapata Dominguez, Diana A1 - Ayerbe, Elixabete A1 - Boyano, Iker A1 - Burmeister, Christine A1 - Duquesnoy, Marc A1 - Eisentraeger, Marlene A1 - Florez MontaƱo, Jonathan A1 - Gallo-Bueno,, Alfonso A1 - Gold, Lucas A1 - Hall, Florian A1 - Kaden, Nicolaj A1 - Muerkens, Bernhard A1 - Otaegui, Laida A1 - Reynier, Yvan A1 - Stier, Simon A1 - Thomitzek, Matthias A1 - Turetskyy, Artem A1 - Vallin, Nicolas A1 - Wessel, Jacob A1 - Xu, Xukuan A1 - Abbasov, Jeyhun A1 - Franco, Alejandro A. T1 - Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities JF - Chemistry Europe - Batteries & Supercaps N2 - Lithium-ion battery (LIB) manufacturing requires a pilot stage that optimizes its characteristics. However, this process is costly and time-consuming. One way to overcome this is to use a set of computational models that act as a digital twin of the pilot line, exchanging information in real-time that can be compared with measurements to correct parameters. Here we discuss the parameters involved in each step of LIB manufacturing, show available computational modeling approaches, and discuss details about practical implementation in terms of software. Then, we analyze these parameters regarding their criticality for modeling set-up and validation, measurement accuracy, and rapidity. Presenting this in an understandable format allows identifying missing aspects, remaining challenges, and opportunities for the emergence of pilot lines integrating digital twins. Finally, we present the challenges of managing the data produced by these models. As a snapshot of the state-of-the-art, this work is an initial step towards digitalizing battery manufacturing pilot lines, paving the way toward autonomous optimization. KW - Batterie KW - Digitalisierung Y1 - 2022 UR - https://chemistry-europe.onlinelibrary.wiley.com/doi/full/10.1002/batt.202200224 U6 - https://doi.org/https://doi.org/10.1002/batt.202200224 VL - 2022 IS - 5/9 SP - 1 EP - 35 ER -