Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities

FM Zanotto and DZ Dominguez and E Ayerbe and I Boyano and C Burmeister and M Duquesnoy and M Eisentraeger and JF Montano and A Gallo-Bueno and L Gold and F Hall and N Kaden and B Muerkens and L Otaegui and Y Reynier and S Stier and M Thomitzek and A Turetskyy and N Vallin and J Wessel and XK Xu and J Abbasov and AA Franco, BATTERIES & SUPERCAPS, 5, e202200224 (2022).

DOI: 10.1002/batt.202200224

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.

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