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

dc.authorscopusid59002398700
dc.authorscopusid55924718000
dc.contributor.authorErtan, Hulusi Bülent
dc.contributor.authorErtan,H.B.
dc.contributor.otherElectrical-Electronics Engineering
dc.date.accessioned2024-07-05T15:50:41Z
dc.date.available2024-07-05T15:50:41Z
dc.date.issued2023
dc.departmentAtılım Universityen_US
dc.department-tempAzuaje-Berbeci B.J., Atilim University, Electrical-Electronics Eng. Dept, Ankara, Turkey; Ertan H.B., Atilim University, Mechatronics Eng. Dept, Ankara, Turkeyen_US
dc.description.abstractAs 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.citation0
dc.identifier.doi10.1109/ACEMP-OPTIM57845.2023.10287049
dc.identifier.isbn979-835031149-5
dc.identifier.issn1842-0133
dc.identifier.scopus2-s2.0-85178120052
dc.identifier.urihttps://doi.org/10.1109/ACEMP-OPTIM57845.2023.10287049
dc.identifier.urihttps://hdl.handle.net/20.500.14411/4162
dc.language.isoenen_US
dc.publisherTransilvania University of Brasov 1en_US
dc.relation.ispartofProceedings 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 -- 194065en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLiFePO4en_US
dc.subjectLithium-ion batteryen_US
dc.subjectThermal runawayen_US
dc.titlePredicting Thermal Behavior of Lithium-ion Batteries for Electric Car Applicationsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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