Data of Physical and Electrochemical Characteristics of Calendered NMC622 Electrodes and Lithium-ion Cells at Pilot-Plant Scale Battery Manufacturing

Data of Physical and Electrochemical Characteristics of Calendered NMC622 Electrodes and Lithium-ion Cells at Pilot-Plant Scale Battery Manufacturing Co-Submission of same title Paper to Data in Brief Journal. Data For the research papers of: Hidalgo, M.F., Apachitei, G., Dogaru, D., Faraji Niri, M., Lain, M., Copley, M. and Marco, J., (2023) Design of Experiments for Optimizing the Calendering Process in Li-Ion Battery Manufacturing. Journal of Power Sources 573: 233091. https://doi.org/10.1016/j.jpowsour.2023.233091 Faraji Niri, M., Apachitei, G., Lain, M., Copley, M. and Marco, J. (2022), The Impact of Calendering Process Variables on the Impedance and Capacity Fade of Lithium-Ion Cells: An Explainable Machine Learning Approach. Energy Technol., 10: 2200893. https://doi.org/10.1002/ente.202200893中试规模电池制造中压延NMC622电极与锂离子电池的物理及电化学特性数据集。本数据集与同名论文共同提交至《数据简报（Data in Brief）》期刊。本数据集支撑以下两篇研究论文：Hidalgo MF、Apachitei G、Dogaru D、Faraji Niri M、Lain M、Copley M与Marco J于2023年发表的《用于优化锂离子电池制造压延工艺的实验设计》，刊载于《Journal of Power Sources》第573卷，文章编号233091，DOI：10.1016/j.jpowsour.2023.233091。Faraji Niri M、Apachitei G、Lain M、Copley M与Marco J于2022年发表的《压延工艺变量对锂离子电池阻抗与容量衰减的影响：可解释机器学习方法》，刊载于《Energy Technology》（Energy Technol.）第10卷，文章编号2200893，DOI：10.1002/ente.202200893。