dc.contributor.author | Shu, X | en_US |
dc.contributor.author | Li, G | en_US |
dc.contributor.author | Zhang, Y | en_US |
dc.contributor.author | Shen, S | en_US |
dc.contributor.author | Chen, Z | en_US |
dc.contributor.author | Liu, Y | en_US |
dc.date.accessioned | 2020-12-18T12:01:04Z | |
dc.date.issued | 2021 | en_US |
dc.identifier.issn | 2332-7782 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/69428 | |
dc.format.extent | 1271 - 1284 | en_US |
dc.relation.ispartof | IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | en_US |
dc.subject | State of charge | en_US |
dc.subject | Estimation | en_US |
dc.subject | Computational modeling | en_US |
dc.subject | Mathematical model | en_US |
dc.subject | Indium phosphide | en_US |
dc.subject | III-V semiconductor materials | en_US |
dc.subject | Lithium-ion batteries | en_US |
dc.subject | Inconsistency | en_US |
dc.subject | long short-term memory (LSTM) recurrent neural network (RNN) | en_US |
dc.subject | square root cubature Kalman filter (KF) | en_US |
dc.subject | state of charge (SOC) | en_US |
dc.title | Stage of Charge Estimation of Lithium-Ion Battery Packs Based on Improved Cubature Kalman Filter With Long Short-Term Memory Model | en_US |
dc.type | Article | |
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.doi | 10.1109/TTE.2020.3041757 | en_US |
pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000686895100030&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.issue | 3 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 7 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
qmul.funder | Hierarchical optimal energy management of electric vehicles::European Commission | en_US |