Batteries & Supercaps www.batteries-supercaps.org Review doi.org/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-theart, this work is an initial step towards digitalizing battery manufacturing pilot lines, paving the way toward autonomous optimization.

The aim of this research is to test Wagner’s law and Keynesian hypothesis in 9 Post‑Soviet countries – Estonia, Latvia, Lithuania, Uzbekistan, Azerbaijan, Georgia, Kyrgyz Republic, Moldova, and Ukraine. For this purpose, long‑ and short‑run causality between real per capita GDP and real per capita government expenditures are estimated by employing ARDL modelling approach. Estimation results support validity of Wagner’s law for Latvia, Lithuania, Uzbekistan, Georgia, Kyrgyz Republic and Ukraine, and validity of Keynesian hypothesis for Estonia, Uzbekistan, Azerbaijan, Kyrgyz Republic, and Moldova in the long‑run. Meanwhile, research findings indicate strong bidirectional short‑run causality in all countries except Lithuania and Kyrgyz Republic in the short‑run.

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