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AuthorNuhic, Adnandc.contributor.author
AuthorTerzimehic, Tarikdc.contributor.author
AuthorSoczka-Guth, Thomasdc.contributor.author
AuthorBuchholz, Michaeldc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-05-25T08:17:38Zdc.date.accessioned
Available in OPARU since2018-05-25T08:17:38Zdc.date.available
Date of first publication2013dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordLithium-ion batterydc.subject
KeywordBattery management systemdc.subject
KeywordState of healthdc.subject
KeywordRemaining useful lifedc.subject
KeywordSupport vector machinedc.subject
Keywordmanagement-systemsdc.subject
Keywordpart 1dc.subject
Keywordregressiondc.subject
Keywordpacksdc.subject
Keywordstatedc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleHealth diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methodsdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mess-, Regel- und Mikrotechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1016/j.jpowsour.2012.11.146dc.identifier.doiExternal
Source - Title of sourceJournal of Power Sourcessource.title
Source - Place of publicationElsevier Sciencesource.publisher
Source - Volume239source.volume
Source - Year2013source.year
Source - From page680source.fromPage
Source - To page688source.toPage
Source - ISSN0378-7753source.identifier.issn
Open AccessNouulm.OA
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000321314100086uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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