Methodology for the Analysis of Thermal Runaway in Electric Vehicle Batteries

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

3 Citations (SciVal)

Abstract

This paper describes a modelling technique to rapidly and efficiently predict the thermal behavior of an electric vehicle battery pack focusing on the likelihood of thermal runaway. The fundamental model of the cell is based on 1D and 2D lumped thermal models for individual cell, sub-pack and full pack simulations. The models include dynamic self-heating effects, the impact of state-of-charge and current, and thermal behavior of the cells and the packaging. A methodology is presented for highly efficient electro-thermal modeling of EV battery packs and thermal runaway risks to be analyzed. The battery type to be considered in this work is cylindrical cells, of the 18650 geometry, although the technique applies to any cylindrical cell type, and could easily be adapted to other cells types such as pouch or prismatic.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2021
EditorsSudip K. Mazumder, Juan Carlos Balda, Lina He, Jianzhe Liu, Ankit Gupta
PublisherIEEE
ISBN (Electronic)9780738142371
DOIs
Publication statusPublished - 28 Jun 2021
Event12th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2021 - Virtual, Online
Duration: 28 Jun 20211 Jul 2021

Publication series

NameProceedings of the 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2021

Conference

Conference12th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2021
CityVirtual, Online
Period28/06/211/07/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • component
  • formatting
  • insert
  • style
  • styling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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