Altmetric

A computational multi-node electro-thermal model for large prismatic lithium-ion batteries

File Description SizeFormat 
A computational multi-node electro-thermal model for large prismatic lithium-ion batteries - Accepted version.pdfFile embargoed until 27 March 20211.13 MBAdobe PDF    Request a copy
Title: A computational multi-node electro-thermal model for large prismatic lithium-ion batteries
Authors: Pan, Y-W
Hua, Y
Zhou, S
He, R
Zhang, Y
Yang, S
Liu, X
Lian, Y
Yan, X
Wu, B
Item Type: Journal Article
Abstract: During operation of large prismatic lithium-ion batteries, temperature heterogeneities are aggravated which affect the performance, lifetime and safety of the cells and packs. Therefore, an accurate model to predict the evolution of temperature profiles in a cell is essential for effective thermal management. In this paper, a pseudo 3D coupled multi-node electro-thermal model is presented for real-time prediction of the heterogeneous temperature field evolution on the surface and inside the battery. The model consists of two parts: a heat generation model based on a second-order equivalent-circuit model and a multi-node heat transfer model based on the battery geometry. Three types of nodes are adopted to describe the thermal characteristics of various components of the cell. Simulation results show that the proposed model has a great consistency with finite element method, and its computational cost is reduced by 90%. The validity of the coupled electrical and thermal model is also demonstrated experimentally for a 105 Ah prismatic cell applying wide ranges of temperature and SOC. The maximum error is less than 2 K throughout the cycles. The proposed model holds a great potential for online temperature estimation in advanced lithium-ion battery thermal management system design.
Issue Date: 31-May-2020
Date of Acceptance: 17-Mar-2020
URI: http://hdl.handle.net/10044/1/78940
DOI: 10.1016/j.jpowsour.2020.228070
ISSN: 0378-7753
Publisher: Elsevier BV
Journal / Book Title: Journal of Power Sources
Volume: 459
Copyright Statement: © 2020 Elsevier B.V. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: 03 Chemical Sciences
09 Engineering
Energy
Publication Status: Published
Embargo Date: 2021-03-27
Article Number: 228070
Online Publication Date: 2020-03-27
Appears in Collections:Dyson School of Design Engineering
Grantham Institute for Climate Change