Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities
Year: 2022
Type: article
Abstract: 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.
Source: Batteries & Supercaps
Authors: Franco M. Zanotto, Diana Zapata Dominguez, Elixabete Ayerbe, Iker Boyano, Christine Burmeister, Marc Duquesnoy, Marlene Eisentraeger, Jonathan Florez Montaño, Alfonso Gallo‐Bueno, Lukas Gold, Florian Hall, Nicolaj Kaden, Bernhard Muerkens, Laida Otaegui, Yvan Reynier, Simon Stier, Matthias Thomitzek, Artem Turetskyy, Nicolas Vallin, Jacob Wessel, Xukuan Xu, Jeyhun Abbasov, Alejandro A. Franco
Institutions: Centre National de la Recherche Scientifique, Réseau sur le Stockage Electrochimique de l'énergie, Laboratoire de Réactivité et Chimie des Solides, Université de Picardie Jules Verne, Centre for Electrochemical Technologies, Technische Universität Braunschweig, Alistore, VDI/VDE Innovation + Technik, University of Applied Sciences Landshut, CIC energiGUNE, Fraunhofer Institute for Silicate Research, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Laboratoire d’Innovation pour les Technologies des Énergies Nouvelles et les nanomatériaux, Université Grenoble Alpes, Dassault Systèmes (France), Aschaffenburg University of Applied Sciences, Institut Universitaire de France
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,550
Funder: Institut Universitaire de France
OpenAlex ID: W4285799554