Machine learning-assisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations

M Duquesnoy, C Liu, DZ Dominguez, V Kumar… - Energy Storage …, 2023 - Elsevier
The optimization of the electrodes manufacturing process constitutes a critical step to ensure
high-quality Lithium-Ion Battery (LIB) cells, in particular for automotive applications. Because …

Empowering lithium-ion battery manufacturing with big data: Current status, challenges, and future

T Chen, X Lai, F Chen, Y Wang, X Han… - Journal of Power Sources, 2024 - Elsevier
With the rapid development of new energy vehicles and electrochemical energy storage, the
demand for lithium-ion batteries has witnessed a significant surge. The expansion of the …

Time‐Dependent Deep Learning Manufacturing Process Model for Battery Electrode Microstructure Prediction

DE Galvez‐Aranda, TL Dinh, U Vijay… - Advanced Energy …, 2024 - Wiley Online Library
The manufacturing process of Lithium‐ion battery electrodes directly affects the practical
properties of the cells, such as their performance, durability, and safety. While computational …

The ARTISTIC Battery Manufacturing Digitalization Initiative: From Fundamental Research to Industrialization

JF Troncoso, FM Zanotto… - Batteries & …, 2025 - Wiley Online Library
Our ARTISTIC project was born in 2018 to improve the efficiency of lithium‐ion battery cell
manufacturing process through computational modelling, allowing the research and …

Toward high-performance energy and power battery cells with machine learning-based optimization of electrode manufacturing

M Duquesnoy, C Liu, V Kumar, E Ayerbe… - Journal of Power …, 2024 - Elsevier
The optimization of the electrode manufacturing process is important for upscaling the
application of Lithium-Ion Batteries (LIBs) to cater for growing energy demand. LIB …

[HTML][HTML] Machine learning for optimal electrode wettability in lithium ion batteries

A El Malki, M Asch, O Arcelus, A Shodiev, J Yu… - Journal of Power …, 2023 - Elsevier
Electrode wetting is a critical step in the Lithium-Ion Battery manufacturing process. The
injection of electrolyte in the electrodes' porosity requires the application of pressure …

[HTML][HTML] Influence of the mixing speed in the rheology of NMC622-based Li-ion battery electrode slurries

DZ Dominguez, J Xu, Y Boudjema, SBH Ali… - Journal of Power …, 2024 - Elsevier
Finding a correlation between the rheology of an electrode slurry and the mixing variables is
challenging due to the complex interactions among the materials in the suspension. Here …

Modelling Approaches of the Dispersion Process for Conductive Slurries in Chemical Process Industries

M Shariq, D Nemec - Advanced Engineering Materials, 2024 - Wiley Online Library
In this article, the review on different modeling approaches used for the dispersion of
conductive slurries is presented. It comprises three parts: state‐of‐the‐art dispersion …

Modeling and Optimizing the Drying Process of Electrode Manufacturing for Lithium‐Ion Batteries

Y Chen, H Tao, B Li, B Li, C Lian, H Liu - Energy Technology, 2024 - Wiley Online Library
Drying the electrode is a crucial process in the manufacture of lithium‐ion batteries, which
significantly affects the mechanical performance and cycle life of electrodes. High drying rate …

Combining Physics-Based Modeling and Artificial Intelligence for the Optimization of Battery Manufacturing Processes

AA Franco, U Vijay… - International …, 2024 - asmedigitalcollection.asme.org
The rapid scaling up and process optimization of manufacturing are essential to keep up
with current demand and reduce the cost of lithium-ion batteries. In particular, electrode and …