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 language | English |
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Title of host publication | Proceedings of the 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2021 |
Editors | Sudip K. Mazumder, Juan Carlos Balda, Lina He, Jianzhe Liu, Ankit Gupta |
Publisher | IEEE |
ISBN (Electronic) | 9780738142371 |
DOIs | |
Publication status | Published - 28 Jun 2021 |
Event | 12th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2021 - Virtual, Online Duration: 28 Jun 2021 → 1 Jul 2021 |
Publication series
Name | Proceedings of the 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2021 |
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Conference
Conference | 12th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2021 |
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City | Virtual, Online |
Period | 28/06/21 → 1/07/21 |
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