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dc.contributor.authorOehler, Dieter
dc.date.accessioned2025-03-08T11:58:23Z
dc.date.available2025-03-08T11:58:23Z
dc.date.issued2021
dc.date.submitted2021-12-16T10:19:35Z
dc.identifierONIX_20211216_9783731511199_8
dc.identifierhttps://library.oapen.org/handle/20.500.12657/52052
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/198478
dc.description.abstractThis contribution presents an analytical and a numerical model for predicting the effective thermal conductivity of porous electrode coatings as a function of microstructure parameters. Both models account for the morphological parameters and the thermal bulk materials of the constitutive cell components. The results of both models have been successfully verified against each other and validated with literature data as well as own experimental measurements.
dc.languageGerman
dc.rightsopen access
dc.subject.otherthermal conductivity
dc.subject.otherthermal transport properties
dc.subject.otherporous electrodes
dc.subject.otherlithium-ion cell
dc.subject.otherlithium-ion battery
dc.subject.otherWärmeleitfähigkeit
dc.subject.otherthermische Transporteigenschaften
dc.subject.otherporöse Elektroden
dc.subject.otherLithium-Ionen Zelle
dc.subject.otherLithium-Ionen Batterie
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
dc.titleBestimmung der thermischen Transporteigenschaften poröser Elektroden von Lithium-Ionen Batterien
dc.typebook
oapen.identifier.doi10.5445/KSP/1000136047
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731511199
oapen.imprintKIT Scientific Publishing
oapen.pages280
oapen.place.publicationKarlsruhe
dc.abstractotherlanguageThis contribution presents an analytical and a numerical model for predicting the effective thermal conductivity of porous electrode coatings as a function of microstructure parameters. Both models account for the morphological parameters and the thermal bulk materials of the constitutive cell components. The results of both models have been successfully verified against each other and validated with literature data as well as own experimental measurements.
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


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