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A Multiphysics-Multiscale Model for Particle-Binder Interactions in Electrode of Lithium-Ion Batteriesopen access

Authors
Ali, YasirShah, ImranKhan, Tariq AminIqbal, Noman
Issue Date
Aug-2023
Publisher
MDPI
Keywords
lithium-ion battery; stress-potential coupling; multiphysics-multiscale model; binder constraint; charge rates; electrochemical performance
Citation
Energies, v.16, no.15, pp 1 - 15
Pages
15
Indexed
SCIE
SCOPUS
Journal Title
Energies
Volume
16
Number
15
Start Page
1
End Page
15
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/19979
DOI
10.3390/en16155823
ISSN
1996-1073
1996-1073
Abstract
Understanding the electrochemical and mechanical degradations inside the electrodes of lithium-ion battery is crucial for the design of robust electrodes. A typical lithium-ion battery electrode consists of active particles enclosed with conductive binder and an electrolyte. During the charging and discharging process, these adjacent materials create a mechanical confinement which suppresses the expansion and contraction of the particles and affects overall performance. The electrochemical and mechanical response mutually affect each other. The particle level expansion/contraction alters the electrochemical response at the electrode level. In return, the electrode level kinetics affect the stress at the particle level. In this paper, we developed a multiphysics-multiscale model to analyze the electrochemical and mechanical responses at both the particle and cell level. The 1D Li-ion battery model is fully coupled with 2D representative volume element (RVE) model, where the particles are covered in binder layers and bridged through the binder. The simulation results show that when the binder constraint is incorporated, the particles achieve a lower surface state of charge during charging. Further, the cell charging time increases by 7.4% and the discharge capacity reduces by 1.4% for 1 C-rate charge/discharge. In addition, mechanical interaction creates inhomogeneous stress inside the particle, which results in particle fracture and particle-binder debonding. The developed model will provide insights into the mechanisms of battery degradation for improving the performance of Li-ion batteries.
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