Prediction of Swelling of Polypropylene Separators and Its Effect on the Lithium-Ion Battery Performance
Document Type
Article
Publication Date
3-10-2023
Abstract
The safety and reliability of lithium-ion batteries depend on porous separators, many of which are made of polymer materials, such as polypropylene. Favorable interactions between a separator and organic electrolyte solvents used in the batteries often induce separator swelling. Swelling increases the electric resistance of the cell and is accompanied by plasticization of the separator, which also affects the battery’s performance. Here we propose a model based on Flory’s theory of polymer solutions which can predict the swelling of a porous polymer separator based on the Flory-Huggins parameter for polymer-solvent interactions. Despite the complexity of the polymer structure, introducing only two additional parameters provides predictive capability for the model. These two parameters can be obtained based on experimental measurements of separator swelling in two different solvents; the model also requires the Flory-Huggins parameter as an input, which can be calculated based on the UNIFAC-FV group contribution method for a given polymer-solvent pair. We illustrated the applicability of this model to recent experimental data on the swelling of polypropylene separators in various solvents. We also showed a simple relation between the separator swelling and an increase in cell resistance. Our model can be used for a quick assessment of various polymer-solvent pairs for application in lithium-ion batteries.
Identifier
85148425095 (Scopus)
Publication Title
ACS Applied Polymer Materials
External Full Text Location
https://doi.org/10.1021/acsapm.2c02074
e-ISSN
26376105
First Page
2026
Last Page
2031
Issue
3
Volume
5
Grant
CBET-1944495
Fund Ref
National Science Foundation
Recommended Citation
Maksimov, Andrei V.; Molina, Marcos; Maksimova, Olga G.; and Gor, Gennady Y., "Prediction of Swelling of Polypropylene Separators and Its Effect on the Lithium-Ion Battery Performance" (2023). Faculty Publications. 1844.
https://digitalcommons.njit.edu/fac_pubs/1844