Internal temperature estimation for lithium-ion batteries through distributed equivalent circuit network model
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Lithium-ion cells experience significant internal thermal gradients during operation, with a direct impact on their safety, performance, cost and lifetime. The estimation of the internal temperature of cells is therefore particularly important. In this work, a 3D distributed electro-thermal model for internal temperature estimation is developed for a cylindrical cell (LG M50T, NMC811). The model is parameterized and comprehensively validated against experimental data for 21700 cells, including direct core temperature measurements. Multiple types of electrical load are considered, including constant current discharge, pulse discharge, drive cycle and instant discharge/charge switching. The developed model is used to estimate core temperature based on surface temperature measurement. The predictions are shown to have good accuracy at relatively low computational cost. We show that the widely adopted two-node lumped thermal estimation model is increasingly inaccurate for more aggressive discharges, when thermal gradients become higher. Compared to the standard two-node model, the distributed equivalent circuit network model predicts the effects of detailed internal cell structure (electrode, current collector, metal can and tab) and distributed internal heat generation. The results are of immediate interest to cell manufacturers and battery pack designers, while the modelling and parameterization framework is a useful tool for energy storage systems design.
Date Issued
2024-08-15
Date Acceptance
2024-05-07
Citation
Journal of Power Sources, 2024, 611
ISSN
0378-7753
Publisher
Elsevier
Journal / Book Title
Journal of Power Sources
Volume
611
Copyright Statement
© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
10.1016/j.jpowsour.2024.234701
Subjects
CELLS
Chemistry
Chemistry, Physical
DESIGN
Electrochemistry
Electro-thermal model
Energy & Fuels
GRADIENTS
IN-SITU
Internal temperature estimation
Kalman filter
Lithium-ion battery
Materials Science
Materials Science, Multidisciplinary
Physical Sciences
Science & Technology
STATE ESTIMATION
TAB
Technology
Publication Status
Published
Article Number
234701
Date Publish Online
2024-05-25