Computational assessment of the thermal response of a Li-ion battery module to transient loads

Saeed, A. , Karimi, N. and Paul, M. C. (2022) Computational assessment of the thermal response of a Li-ion battery module to transient loads. Journal of Power Sources, 552, 232217. (doi: 10.1016/j.jpowsour.2022.232217)

[img] Text
281969.pdf - Published Version
Available under License Creative Commons Attribution.

6MB

Abstract

This paper provides a methodology to assess the average surface temperature of battery cells under realistic transient scenarios. Computational fluid dynamics modelling of battery cooling is conducted for the cases exposed to the ramps of internal heat generation inferred from the standard driving cycles. The results are then post-processed to determine the effectiveness of air and water as the coolant fluids. A quantitative measure of the maximum overshoot, dimensionless settling (DST), heating (DHT), and cooling (DCT) time is subsequently presented. It is shown that, compared to water, air produces a considerably delayed response to temporal changes in the internal heat generation and is slower at reaching the new steady state condition. Cooling battery cells by using water almost always ensures remaining within the safe operating range. Nonetheless, regardless of the coolant type, the long period ramps tend to produce smaller values of DST. The primary origin of the delay is the slow heat conduction within the battery cells. In addition, it is shown that water responds to changes in the internal heat generation far quicker during the heating and the cooling phases. The study highlights the importance of transient analyses for characterising the thermal behaviour of battery packs.

Item Type:Articles
Additional Information:Ali Saeed acknowledges the financial support through EPSRC funding (EP/R513222/1) from the University of Glasgow. N. Karimi acknowledges the financial support by the Engineering and Physical Science Research Council, UK; through the grant number EP/V036777/1.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Paul, Professor Manosh and Karimi, Dr Nader and Saeed, Mr Ali
Authors: Saeed, A., Karimi, N., and Paul, M. C.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Journal of Power Sources
Publisher:Elsevier
ISSN:0378-7753
ISSN (Online):1873-2755
Published Online:21 October 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Journal of Power Sources 552:232217
Publisher Policy:Reproduced under a Creative Commons licence

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
305200DTP 2018-19 University of GlasgowMary Beth KneafseyEngineering and Physical Sciences Research Council (EPSRC)EP/R513222/1MVLS - Graduate School
311655Risk EvaLuatIon fAst iNtelligent Tool (RELIANT) for COVID19Andrea CammaranoEngineering and Physical Sciences Research Council (EPSRC)EP/V036777/1ENG - Autonomous Systems & Connectivity