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

dc.contributor.author	Dubarry, M.
dc.contributor.author	Berecibar, M.
dc.contributor.author	Devie, A.
dc.contributor.author	Anseán González, David
dc.contributor.author	Omar, N.
dc.contributor.author	Villarreal, I.
dc.date.accessioned	2017-10-31T10:48:28Z
dc.date.available	2017-10-31T10:48:28Z
dc.date.issued	2017
dc.identifier.citation	Journal of Power Sources, 360, p. 59-69 (2017); doi:10.1016/j.jpowsour.2017.05.121
dc.identifier.issn	0378-7753
dc.identifier.uri	http://hdl.handle.net/10651/44197
dc.description.sponsorship	ONR, Office of Naval Research
dc.description.sponsorship	The 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.extent	p. 59-69
dc.language.iso	eng
dc.relation.ispartof	Journal of Power Sources
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020284075&doi=10.1016%2fj.jpowsour.2017.05.121&partnerID=40&md5=5b78e169d39b636104d9f952554bb74e
dc.title	State of health battery estimator enabling degradation diagnosis: Model and algorithm description
dc.type	journal article
dc.identifier.doi	10.1016/j.jpowsour.2017.05.121
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.jpowsour.2017.05.121

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