This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

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 …

The lithium-ion battery (LiB) is a prominent energy storage technology playing an important
role in the future of e-mobility and the transformation of the energy sector. However, LiB cell …

Li-ion battery is one of the key players in energy storage technology empowering electrified
and clean transportation systems. However, it is still associated with high costs due to the …

The large number of parameters involved in each step of Li-ion electrode manufacturing
process as well as the complex electrochemical interactions in those affect the properties of …

The increasing use of electric vehicle batteries in the world has a significant impact on both
society and the environment. Thus, there is a need for the availability of transparent …

Electrode manufacturing process strongly impacts lithium-ion battery characteristics. The
electrode slurry properties and the coating parameters are among the main factors …

In order to reduce the cost of lithium-ion batteries, production scrap has to be minimized. The
reliable detection of electrode defects allows for a quality control and fast operator reaction …

In the production chain of Lithium-ion battery (LIB) cells, various processes influence
intermediate product features, which then influence the LIB performance. It is important to …

Battery cells and their production processes are developing continuously toward higher
efficiencies. Conventional life cycle inventories (LCIs) applied in life cycle assessment (LCA) …