A reduce-order model to understand the multiscale coupling of battery electrochemical-thermal performance

  • Jie Lin*
  • , Howie N. Chu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Inhomogeneous heat generation and temperature distribution in association with non-uniform electrochemical reaction is deemed as a serious problem in large-format lithium-ion batteries. To address this challenge, it requires a thorough understanding of the battery’s coupled electrochemical-thermal performance. Therefore, in this paper, we would like to investigate the relevant physical phenomena observed in the battery electrical and thermal responses via a reduce-order 3D electrochemical-thermal model. More importantly, the dominant physical mechanisms of the battery performance are to be discussed. The model has been developed to parameterize large-format Li-ion prismatic pouch cells, and it can be further applied to simulate the irregular temperature distribution on the battery due to the non-uniform electrochemical reaction and heat generation. A scaling analysis of the model is carried out to determine the governing dimensionless numbers of the battery during charging and discharging, based on which the model complexity can be dramatically reduced. The key dimensionless number found in this study are known to be related to the material properties of the battery and the control parameters in the tests.

Original languageEnglish
Title of host publicationClean Energy Technology and Energy Storage Systems - 8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, Proceedings
EditorsKang Li, Kailong Liu, Yukun Hu, Mao Tan, Long Zhang, Zhile Yang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages204-218
Number of pages15
VolumePart III
ISBN (Electronic)9789819602322
ISBN (Print)9789819602315
DOIs
Publication statusPublished - 24 Dec 2024
Event8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024 - Suzhou, China
Duration: 13 Sept 202415 Sept 2024

Publication series

NameCommunications in Computer and Information Science
Volume2218 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024
Country/TerritoryChina
CitySuzhou
Period13/09/202415/09/2024

Publications and Copyright Policy

This work is licensed under Queen’s Research Publications and Copyright Policy.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • lithium-ion Battery
  • Model
  • Parameterization
  • Scaling Analysis
  • Thermography

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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