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Language: enSubject: Thermal runaway

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    Article
    Citation - WoS: 32
    Citation - Scopus: 34
    A Model for the Prediction of Thermal Runaway in Lithium-Ion Batteries
    (Elsevier, 2024) Azuaje-Berbeci, Bernardo J.; Ertan, H. Bulent; Azuaje–Berbecí, Bernardo J.
    The increasing popularity of electric vehicles is driving research into lithium -ion batteries (LIBs). Thermal runaway (TR) in LIBs is a serious concern for the safe operation of these high-energy-density batteries that is yet to be overcome. A reliable model is needed to predict voltage variation, heat generation, temperature rise, and the process leading to TR of a LIB battery under its operating conditions (charging-discharging). Such a model can be used to design battery packs more resilient to thermal runaway or assess how a battery pack would perform under hazardous conditions. Furthermore, it can be used for generating a warning signal if there is a possibility of the battery going towards TR. This paper presents an approach to solving this problem, which is not currently well addressed in the literature. The approach adopted in this paper is based on a numerical analysis of a multilayered electrochemical-thermal model of LIB. Tuning the parameters of a LIB for accurate results from this numerical model is presented, as well as the details of the approach in the paper. Experiments are performed under several LIBs, and their voltage and surface temperature variations are measured under various operating conditions, including thermal runaway. The results of the experiments are compared with the predictions of the numerical simulations. An excellent agreement is observed with the experimental results, proving the accuracy of the proposed approach. This approach can be configured to give results in a few minutes. The paper also discusses how the developed approach can be used to create a TR warning during operating conditions or to change the mode of operation of a LIB before a hazard occurs.
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    Conference Object
    Citation - Scopus: 2
    Predicting Thermal Behavior of Lithium-Ion Batteries for Electric Car Applications
    (Transilvania University of Brasov 1, 2023) Azuaje-Berbeci,B.J.; Ertan,H.B.
    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.