Lithium-ion battery SOH analysis

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but.event.date23.04.2024cs
but.event.titleSTUDENT EEICT 2024cs
dc.contributor.authorSedlařík, Marek
dc.contributor.authorKazda, Tomáš
dc.contributor.authorVyroubal, Petr
dc.date.accessioned2024-07-09T07:38:40Z
dc.date.available2024-07-09T07:38:40Z
dc.date.issued2024cs
dc.description.abstractBattery State-of-Health modelling can significantly reduce the amount of costly laboratory tests in the application being analyzed. This paper discusses the prediction of the State-of-Health, an indicator of battery life, using support vector regression. This experiment is performed on a sample cell of a lithium-ion battery, which is subjected to a method known as the Constant Current Constant Voltage method, where the battery is charged and discharged at a constant current of 0.5 C. Although this method in this paper is applied in laboratory conditions and it is a controlled method, or it deviates from the battery cycling of real applications, it can be used in these applications, thus the scope of this research can predict the State-of-Health also in the areas of batteries used in mobile devices or electromobility. The State-of-Health indicator then determines whether the battery is still suitable for that primary application. Assuming that we can predict this parameter with some accuracy, it is then also possible to tell after what length of time a battery will need to be replaced and when it will be suitable for secondary applications such as stationary storage. Once it reaches that state, this calculation can be further applied to those applications as well.en
dc.formattextcs
dc.format.extent277-281cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 30st Conference STUDENT EEICT 2024: General papers. s. 277-281. ISBN 978-80-214-6231-1cs
dc.identifier.isbn978-80-214-6231-1
dc.identifier.issn2788-1334
dc.identifier.urihttps://hdl.handle.net/11012/249251
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 30st Conference STUDENT EEICT 2024: General papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectLi-ion batteryen
dc.subjectSOHen
dc.subjectSVRen
dc.subjectEstimationen
dc.subjectCCCVen
dc.titleLithium-ion battery SOH analysisen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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