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Parametric analysis of anodic degradation mechanisms for fast charging lithium batteries with graphite anode.

Authors :
Sarkar, Abhishek
Shrotriya, Pranav
Nlebedim, Ikenna C.
Source :
Computational Materials Science. Feb2022, Vol. 202, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

[Display omitted] • Temperature dependence of anodic degradation during cell cycling. • Parametric analysis based on design criteria and operating conditions. • Single and multiple cycle simulations to predict capacity fade and performance. • Evaluation of optimal design conditions to minimize SEI growth and lithium plating. • Development of thermo-chemical contour maps for safer electrode design. We report the impact of the temperature-driven synergistically-coupled anodic degradation mechanisms on the electrochemical performance of lithium batteries with graphite anode over multiple cycles. Temperature dependence of electrochemical reactions and damage mechanisms, such as solid electrolyte interface (SEI) growth, lithium plating/stripping, dead lithium storage/dissolution, and film cracking are incorporated into the degradation model. Results of a parametric analysis are presented, evaluating the effects of charging rates (1–6 C), operating temperatures (-15 – 45℃) and electrode design parameters, on the relative performance fade in the lithium-ion battery. Thermo-electrochemical process maps are developed to provide insights into the relationship between electrode performance and failure mechanisms. The simulation results predict a severe capacity loss due to lithium plating at low temperatures, which is further aggravated at high charging rates. A common strategy for mitigating lithium plating, through charging at high temperatures, also results in rapid capacity loss due to accelerated SEI formation. Simulation results are used to identify the combination of operating conditions and electrode design parameters that improve the electrochemical performance of the battery. These results demonstrate an opportunity to design safe and high-performance lithium-ion batteries, guided by anodic degradation models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09270256
Volume :
202
Database :
Academic Search Index
Journal :
Computational Materials Science
Publication Type :
Academic Journal
Accession number :
153824412
Full Text :
https://doi.org/10.1016/j.commatsci.2021.110979