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Numerical analysis of kinetic mechanisms for battery thermal runaway prediction in lithium-ion batteries

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Numerical analysis of kinetic mechanisms for battery thermal runaway prediction in lithium-ion batteries

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dc.contributor.author García Martínez, Antonio es_ES
dc.contributor.author Monsalve-Serrano, Javier es_ES
dc.contributor.author Lago-Sari, Rafael es_ES
dc.contributor.author Fogué Robles, Álvaro es_ES
dc.date.accessioned 2022-09-13T18:02:44Z
dc.date.available 2022-09-13T18:02:44Z
dc.date.issued 2022-10 es_ES
dc.identifier.issn 1468-0874 es_ES
dc.identifier.uri http://hdl.handle.net/10251/185952
dc.description.abstract [EN] The urgent need for reducing the carbon dioxide emissions has led to the powertrain electrification at different levels such as hybridization or pure electric vehicles. Despite the benefits in terms of local pollution reduction and lower carbon dioxide footprint that may be achieved with this technology, new hazards have been introduced. Among them, the combustion of the battery pack due to abuse conditions, also known as thermal runaway, is one of the biggest concerns. It can lead to the vehicle combustion under unnoticed failure conditions, threating the driver security. In this sense, different investigations have been carried out with the aim of providing a proper description of the reactions that lead to this phenomenon. Reaction mechanisms have been proposed in the literature for lithium-ion battery considering the most common battery chemistries. Nonetheless, their application leads to different results, which may hinder their utilization in modeling critical operating conditions for thermal runaway. This investigation proposes a detailed assessment of the most common reaction mechanisms, comparing their capability on reproducing the different reaction paths that lead to thermal runaway conditions to explore and depict state of the art of thermal runaway modeling. Additionally, a detailed analysis is performed to define the differences in terms of decomposition and formation reactions for each one of them. The results of this investigation demonstrate that the mechanism proposed by Kriston provides the best results trade-off considering different investigations in differential scanning calorimeter and accelerated rate calorimeter. In addition, it was found that some mechanisms have been adjusted to perform similar to the experimental results, even in the case of not having a physical meaning. es_ES
dc.language Inglés es_ES
dc.publisher SAGE Publications es_ES
dc.relation.ispartof International Journal of Engine Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Battery thermal runaway es_ES
dc.subject Vehicle safety es_ES
dc.subject Kinetic mechanism es_ES
dc.subject Electric vehicles es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Numerical analysis of kinetic mechanisms for battery thermal runaway prediction in lithium-ion batteries es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1177/14680874211029902 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics es_ES
dc.description.bibliographicCitation García Martínez, A.; Monsalve-Serrano, J.; Lago-Sari, R.; Fogué Robles, Á. (2022). Numerical analysis of kinetic mechanisms for battery thermal runaway prediction in lithium-ion batteries. International Journal of Engine Research. 23(10):1691-1707. https://doi.org/10.1177/14680874211029902 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1177/14680874211029902 es_ES
dc.description.upvformatpinicio 1691 es_ES
dc.description.upvformatpfin 1707 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 23 es_ES
dc.description.issue 10 es_ES
dc.relation.pasarela S\461512 es_ES


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