Coupled Mechanical-Electrical-Thermal Modeling for Short-Circuit Prediction in a Lithium-ion Cell under Mechanical Abuse

Chao Zhang, Shriram Santhanagopalan, Michael Sprague, Ahmad Pesaran

Research output: Contribution to journalArticlepeer-review

189 Scopus Citations

Abstract

In order to better understand the behavior of lithium-ion batteries under mechanical abuse, a coupled modeling methodology encompassing the mechanical, electrical and thermal response is presented for predicting short-circuit under external crush. The combined mechanical-electrical-thermal response is simulated in a commercial finite element software LS-DYNA® using a representative-sandwich finite-element model, where electrical-thermal modeling is conducted after an instantaneous mechanical crush. The model includes an explicit representation of each individual component such as the active material, current collector, separator, etc., and predicts their mechanical deformation under quasi-static indentation. Model predictions show good agreement with experiments: the fracture of the battery structure under an indentation test is accurately predicted. The electrical-thermal simulation predicts the current density and temperature distribution in a reasonable manner. Whereas previously reported models consider the mechanical response exclusively, we use the electrical contact between active materials following the failure of the separator as a criterion for short-circuit. These results are used to build a lumped representative sandwich model that is computationally efficient and captures behavior at the cell level without resolving the individual layers.

Original languageAmerican English
Pages (from-to)102-113
Number of pages12
JournalJournal of Power Sources
Volume290
DOIs
StatePublished - 2015

Bibliographical note

Publisher Copyright:
© 2015 Elsevier B.V. All rights reserved.

NREL Publication Number

  • NREL/JA-2C00-64239

Keywords

  • Lithium-ion battery
  • Mechanical crush
  • Multi-physics simulation
  • Representative sandwich model
  • Short circuit

Fingerprint

Dive into the research topics of 'Coupled Mechanical-Electrical-Thermal Modeling for Short-Circuit Prediction in a Lithium-ion Cell under Mechanical Abuse'. Together they form a unique fingerprint.

Cite this