Computational Materials Science2022,Vol.2029.DOI:10.1016/j.commatsci.2021.110979

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

Sarkar, Abhishek Shrotriya, Pranav Nlebedim, Ikenna C.
Computational Materials Science2022,Vol.2029.DOI:10.1016/j.commatsci.2021.110979

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

Sarkar, Abhishek 1Shrotriya, Pranav 2Nlebedim, Ikenna C.1
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作者信息

  • 1. US DOE
  • 2. Iowa State Univ
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Abstract

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 degrees C) 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.

Key words

Parametric analysis/Thermal mapping/SEI growth/Film fracture/Lithium plating/Battery design/Battery model/Anodic degradation/SOLID-ELECTROLYTE INTERPHASE/LOW-TEMPERATURE PERFORMANCE/ION BATTERIES/LIFE PREDICTION/CYCLE LIFE/IN-SITU/MODEL

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量5
参考文献量42
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