Modelling and Experiments to Identify High-Risk Failure Scenarios for Testing the Safety of Lithium-Ion Cells

  • Donal Finegan
  • , Chuanbo Yang
  • , Matthew Keyser
  • , John Darst
  • , William Walker
  • , Rhodri Jervis
  • , Thomas Heenan
  • , Jennifer Hack
  • , James Thomas
  • , Alexander Rack
  • , Dan Brett
  • , Paul Shearing
  • , Eric Darcy
  • , Qibo Li

Research output: Contribution to journalArticlepeer-review

134 Scopus Citations

Abstract

Intentionally inducing worst-case thermal runaway scenarios in Li-ion cells on-demand is a definitive way to test the efficacy of battery systems in safely mitigating the consequences of catastrophic failure. An internal short-circuiting (ISC) device is implanted into three 18650 cell designs: one standard, one with a bottom vent, and one with a thicker casing. Through an extensive study of 228 cells, the position at which thermal runaway initiates is shown to greatly affect the tendency of cells to rupture and incur side-wall breaches at specific locations. The risks associated with each failure mechanism and position of the ISC device are quantified using a custom calorimeter that can decouple the heat from ejected and non-ejected contents. Causes of high-risk failure mechanisms, such as bursting and side-wall breaches, are elucidated using high-speed synchrotron X-ray imaging at 2000 frames per second and image-based 3D thermal runaway computational models, which together are used to construct a comprehensive description of external risks based on internal structural and thermal phenomena.

Original languageAmerican English
Pages (from-to)29-41
Number of pages13
JournalJournal of Power Sources
Volume417
DOIs
StatePublished - 31 Mar 2019

Bibliographical note

Publisher Copyright:
© 2019

NLR Publication Number

  • NREL/JA-5400-71712

Keywords

  • Calorimetry
  • Li-ion battery
  • Modelling
  • Thermal runaway
  • X-ray imaging

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