Kalman-variant estimators for state of charge in lithium-sulfur batteries

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dc.contributor.authorPropp, Karsten
dc.contributor.authorAuger, Daniel
dc.contributor.authorFotouhi, Abbas
dc.contributor.authorLongo, Stefano
dc.contributor.authorKnap, Vaclav
dc.date.accessioned2024-06-11T09:38:53Z
dc.date.available2024-06-11T09:38:53Z
dc.date.issued2022-05-01 01:10
dc.description.abstractThis fileset is a set of MATLAB/Simulink R2016a models implementing state-of-charge estimators for lithium-sulfur batteries as described in the associated publications. The associated experimental data is also included. Instructions are included in a 'readme.txt' file in the root directory.
dc.description.abstractThis fileset is a set of MATLAB/Simulink R2016a models implementing state-of-charge estimators for lithium-sulfur batteries as described in the associated publications. The associated experimental data is also included. Instructions are included in a 'readme.txt' file in the root directory.
dc.description.sponsorshipEP L505286/1
dc.identifier.citationPropp, Karsten; Auger, Daniel; Fotouhi, Abbas; Longo, Stefano; Knap, Vaclav (2021). Kalman-variant estimators for state of charge in lithium-sulfur batteries. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.3834057
dc.identifier.doi10.17862/cranfield.rd.3834057
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22435
dc.publisherCranfield University
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.jpowsour.2016.12.087'
dc.rightsCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectlithium-sulfur battery'
dc.subject'state of charge'
dc.subject'extended kalman filter'
dc.subject'unscented kalman filter'
dc.subject'particle filter'
dc.subject'Engineering not elsewhere classified'
dc.titleKalman-variant estimators for state of charge in lithium-sulfur batteries
dc.typeDataset

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