Predicting Thermal Behavior of Lithium-Ion Batteries for Electric Car Applications

dc.authorscopusid 59002398700
dc.authorscopusid 55924718000
dc.contributor.author Azuaje-Berbeci,B.J.
dc.contributor.author Ertan,H.B.
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2024-07-05T15:50:41Z
dc.date.available 2024-07-05T15:50:41Z
dc.date.issued 2023
dc.department Atılım University en_US
dc.department-temp Azuaje-Berbeci B.J., Atilim University, Electrical-Electronics Eng. Dept, Ankara, Turkey; Ertan H.B., Atilim University, Mechatronics Eng. Dept, Ankara, Turkey en_US
dc.description.abstract As the popularity of electric vehicles increases, significant research is being performed on lithium-ion batteries (LIB). Safety is a serious issue in the applications using high energy-density LIBs. A phenomenon known as thermal runaway (TR) is the major exothermal process that may cause a LIB's catastrophic failure. It is very important to predict TR conditions in order to prevent an uncontrollable chemical reaction caused by TR. For this purpose, a reliable model is needed. This paper constructs an electrochemical-thermal model, which includes the effects of the chemical reactions during TR, for a commercially available pouch L i F e P O4 (LFP) battery. A detailed analysis of the proposed models is performed and then validated against experimental results. Simulation results showed good agreement with the experimental data. The study presented here helps identify conditions at which TR may occur and provides a guide to the safe design of battery management systems. © 2023 IEEE. en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1109/ACEMP-OPTIM57845.2023.10287049
dc.identifier.isbn 979-835031149-5
dc.identifier.issn 1842-0133
dc.identifier.scopus 2-s2.0-85178120052
dc.identifier.uri https://doi.org/10.1109/ACEMP-OPTIM57845.2023.10287049
dc.identifier.uri https://hdl.handle.net/20.500.14411/4162
dc.institutionauthor Ertan, Hulusi Bülent
dc.language.iso en en_US
dc.publisher Transilvania University of Brasov 1 en_US
dc.relation.ispartof Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM -- 2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023 -- 1 September 2023 through 2 September 2023 -- Istanbul -- 194065 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 1
dc.subject LiFePO4 en_US
dc.subject Lithium-ion battery en_US
dc.subject Thermal runaway en_US
dc.title Predicting Thermal Behavior of Lithium-Ion Batteries for Electric Car Applications en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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