A new open computational framework for highly-resolved coupled three-dimensional multiphysics simulations of Li-ion cells

Srikanth Allu, Sergiy Kalnaus, Wael Elwasif, Srdjan Simunovic, John A. Turner, Sreekanth Pannala

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

Abstract

In this paper we report on the development and demonstration of physically consistent three-dimensional models for Lithium Ion Battery (LIB) cells. The discharge behavior of a LIB is a multiphysics and multiscale problem that is simulated using coupled models for thermal, electrical, and electrochemical phenomena. The individual physics models and software are integrated into a new open computational framework for battery simulations which was designed to support a variety of modeling formulations and computer codes. Several cell configurations (unrolled cell, unrolled cell with current collectors, large capacity pouch cell, and cylindrical cell) that show the importance of coupled simulations are simulated using this approach and discussed. A validation study is presented for the pouch cell discharged under high rates to demonstrate the accuracy of the proposed modeling framework.

Original languageEnglish
Pages (from-to)876-886
Number of pages11
JournalJournal of Power Sources
Volume246
DOIs
StatePublished - 2014

Funding

This research at Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract DE-AC05-00OR22725, was sponsored by the Vehicle Technologies Program for the Office of Energy Efficiency and Renewable Energy (with David Howell and Brian Cunningham as program managers). The authors would like to acknowledge that the pouch cell for testing was obtained from Dr. Keith Kepler at Farasis Energy Inc. and the experimental data was obtained from Dr. Hsin Wang at the Oak Ridge National Laboratory.

FundersFunder number
U.S. Department of EnergyDE-AC05-00OR22725
Office of Energy Efficiency and Renewable Energy
Oak Ridge National Laboratory

    Keywords

    • Computational framework
    • Lithium ion battery
    • Modeling
    • Multiphysics simulations

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