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State of health battery estimator enabling degradation diagnosis: Model and algorithm description

dc.contributor.authorDubarry, M.
dc.contributor.authorBerecibar, M.
dc.contributor.authorDevie, A.
dc.contributor.authorAnseán González, David 
dc.contributor.authorOmar, N.
dc.contributor.authorVillarreal, I.
dc.date.accessioned2017-10-31T10:48:28Z
dc.date.available2017-10-31T10:48:28Z
dc.date.issued2017
dc.identifier.citationJournal of Power Sources, 360, p. 59-69 (2017); doi:10.1016/j.jpowsour.2017.05.121
dc.identifier.issn0378-7753
dc.identifier.urihttp://hdl.handle.net/10651/44197
dc.description.sponsorshipONR, Office of Naval Research
dc.description.sponsorshipThe Hawaii Natural Energy Institute is grateful for funding from by the Office of Naval Research (ONR) Asia Pacific Research Initiative for Sustainable Energy Systems (APRISES) award number N00014-13-1-0463. The authors are also thankful to Dax Matthews for microcomputer workstation access.
dc.format.extentp. 59-69
dc.language.isoeng
dc.relation.ispartofJournal of Power Sources
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85020284075&doi=10.1016%2fj.jpowsour.2017.05.121&partnerID=40&md5=5b78e169d39b636104d9f952554bb74e
dc.titleState of health battery estimator enabling degradation diagnosis: Model and algorithm description
dc.typejournal article
dc.identifier.doi10.1016/j.jpowsour.2017.05.121
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.jpowsour.2017.05.121


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