Reduced Order Modeling of Mechanical Degradation Induced Performance Decay in Lithium-Ion Battery Porous Electrodes

Kandler Smith, Gi-Heon Kim, Pallab Barai, Chien-Fan Chen, Partha Mukherjee, Gi-Heon Kim

Research output: Contribution to journalArticlepeer-review

40 Scopus Citations

Abstract

A one-dimensional computational framework is developed that can solve for the evolution of voltage and current in a lithium-ion battery electrode under different operating conditions. A reduced order model is specifically constructed to predict the growth of mechanical degradation within the active particles of the carbon anode as a function of particle size and C-rate. Using an effective diffusivity relation, the impact of microcracks on the diffusivity of the active particles has been captured. Reduction in capacity due to formation of microcracks within the negative electrode under different operating conditions (constant current discharge and constant current constant voltage charge) has been investigated. At the beginning of constant current discharge, mechanical damage to electrode particles predominantly occurs near the separator. As the reaction front shifts, mechanical damage spreads across the thickness of the negative electrode and becomes relatively uniform under multiple discharge/charge cycles. Mechanical degradation under different drive cycle conditions has been explored. It is observed that electrodes with larger particle sizes are prone to capacity fade due to microcrack formation. Under drive cycle conditions, small particles close to the separator and large particles close to the current collector can help in reducing the capacity fade due to mechanical degradation.

Original languageAmerican English
Pages (from-to)A1751-A1771
JournalJournal of the Electrochemical Society
Volume162
Issue number9
DOIs
StatePublished - 2015

Bibliographical note

Publisher Copyright:
© The Author(s) 2015. Published by ECS.

NREL Publication Number

  • NREL/JA-5400-63825

Keywords

  • drive cycles
  • effective diffusivity
  • lithium ion batteries
  • mechanical degradation
  • reduced order modeling

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