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dc.contributor.authorShu, Xen_US
dc.contributor.authorLi, Gen_US
dc.contributor.authorZhang, Yen_US
dc.contributor.authorShen, Sen_US
dc.contributor.authorChen, Zen_US
dc.contributor.authorLiu, Yen_US
dc.date.accessioned2020-12-18T12:01:04Z
dc.date.issued2021en_US
dc.identifier.issn2332-7782en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/69428
dc.format.extent1271 - 1284en_US
dc.relation.ispartofIEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATIONen_US
dc.subjectState of chargeen_US
dc.subjectEstimationen_US
dc.subjectComputational modelingen_US
dc.subjectMathematical modelen_US
dc.subjectIndium phosphideen_US
dc.subjectIII-V semiconductor materialsen_US
dc.subjectLithium-ion batteriesen_US
dc.subjectInconsistencyen_US
dc.subjectlong short-term memory (LSTM) recurrent neural network (RNN)en_US
dc.subjectsquare root cubature Kalman filter (KF)en_US
dc.subjectstate of charge (SOC)en_US
dc.titleStage of Charge Estimation of Lithium-Ion Battery Packs Based on Improved Cubature Kalman Filter With Long Short-Term Memory Modelen_US
dc.typeArticle
dc.rights.holder© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.identifier.doi10.1109/TTE.2020.3041757en_US
pubs.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000686895100030&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue3en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume7en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderHierarchical optimal energy management of electric vehicles::European Commissionen_US


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