Machine learning for optimal electrode wettability in lithium ion batteries
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-vacuum pumping strategies without warranty that the full porosity will be fully occupied with electrolyte at the end of...
Main Authors: | Amina El Malki, Mark Asch, Oier Arcelus, Abbos Shodiev, Jia Yu, Alejandro A. Franco |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-03-01
|
Series: | Journal of Power Sources Advances |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666248523000069 |
Similar Items
-
Effect of Calendering on Electrode Wettability in Lithium Ion Batteries
by: Yangping eSheng, et al.
Published: (2014-12-01) -
Investigation of the Influence of Electrode Surface Structures on Wettability after Electrolyte Filling Based on Experiments and a Lattice Boltzmann Simulation
by: Johannes Wanner, et al.
Published: (2023-07-01) -
Comparison of an Experimental Electrolyte Wetting of a Lithium-Ion Battery Anode and Separator by a Lattice Boltzmann Simulation
by: Johannes Wanner, et al.
Published: (2022-12-01) -
Preparation and Performances of Zeolite-based Separator for Lithium-ion Batteries
by: ZHANG Hong-tao, et al.
Published: (2017-12-01) -
Properties of trifluoromethylated lithium borates for lithium-ion battery electrolytes
by: Mikihiro Takahashi, et al.
Published: (2022-01-01)