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Modellierung von Lithium-Ionen-Batterien zur Lebensdauerprädiktion unter besonderer Berücksichtigung des Anodenüberhangeffekts

dc.contributor.authorPhilipp Fath, Johannes
dc.date.accessioned2022-03-22T04:08:10Z
dc.date.available2022-03-22T04:08:10Z
dc.date.issued2022
dc.date.submitted2022-03-21T14:33:29Z
dc.identifierONIX_20220321_9783731511397_13
dc.identifierhttps://library.oapen.org/handle/20.500.12657/53522
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/79700
dc.description.abstractThe focus of this work is on the modelling of the degradation behaviour of conventional lithium-ion cells with graphite/NMC electrodes in conjunction with electrolytes based on LiPF6 in organic solvents. The potential for improvements of parameterization methods dealing with physical-chemical aging effects and simulation studies for optimization of the battery lifetime is shown. In the process of model parameterization mostly data-based as well as non-invasive analysis methods are used.
dc.languageGerman
dc.rightsopen access
dc.subject.otherLithium-Ionen-Zelle
dc.subject.otherBatterie
dc.subject.otherElektrofahrzeug
dc.subject.otherDegradationsmechanismen
dc.subject.otherLebensdauerprädiktion
dc.subject.otherlithium-ion cell
dc.subject.otherbattery
dc.subject.otherelectric vehicle
dc.subject.otherdegradation mechanism
dc.subject.otherlifetime prediction
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
dc.titleModellierung von Lithium-Ionen-Batterien zur Lebensdauerprädiktion unter besonderer Berücksichtigung des Anodenüberhangeffekts
dc.typebook
oapen.identifier.doi10.5445/KSP/1000139455
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731511397
oapen.imprintKIT Scientific Publishing
oapen.pages346
oapen.place.publicationKarlsruhe
dc.abstractotherlanguageThe focus of this work is on the modelling of the degradation behaviour of conventional lithium-ion cells with graphite/NMC electrodes in conjunction with electrolytes based on LiPF6 in organic solvents. The potential for improvements of parameterization methods dealing with physical-chemical aging effects and simulation studies for optimization of the battery lifetime is shown. In the process of model parameterization mostly data-based as well as non-invasive analysis methods are used.


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