Show simple item record

dc.contributor.authorPhilipp Fath, Johannes
dc.date.accessioned2025-03-08T09:55:53Z
dc.date.available2025-03-08T09:55:53Z
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://doab-dev.siscern.org/handle/20.500.12854/193291
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.
dc.anonymityAll identities known
dc.peerreviewid8ad5c235-9810-49eb-b358-27c8675324d9
dc.peerreviewtitleDissertations (Dissertationen)
dc.openreviewNo
dc.responsibilityScientific or Editorial Board
dc.stagePre-publication
dc.reviewtypeFull text
dc.reviewertypeInternal editor
dc.reviewertypeExternal peer reviewer


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record