MATLAB and Simulink Models for 'Improved State of Charge Estimation for Lithium-Sulfur Batteries'

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dc.contributor.authorAuger, Daniel
dc.contributor.authorPropp, Karsten
dc.contributor.authorFotouhi, Abbas
dc.contributor.authorMarinescu, Monica
dc.contributor.authorKnap, Vaclav
dc.contributor.authorLongo, Stefano
dc.date.accessioned2024-06-11T09:37:33Z
dc.date.available2024-06-11T09:37:33Z
dc.date.issued2022-05-01 01:10
dc.description.abstractThis fileset consists of Simulink models of a state estimator for lithium-sulfur batteries, as described in a research paper that has been submitted for publication.
dc.description.sponsorshipEP/L505286/1
dc.identifier.citationAuger, Daniel; Propp, Karsten; Fotouhi, Abbas; Marinescu, Monica; Knap, Vaclav; Longo, Stefano (2018). MATLAB and Simulink Models for 'Improved State of Charge Estimation for Lithium-Sulfur Batteries'. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.6887432
dc.identifier.doi10.17862/cranfield.rd.6887432
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22395
dc.publisherCranfield University
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 estimation'
dc.subject'extended Kalman filter'
dc.subject'online parameterzation'
dc.subject'equivalent circuit network model'
dc.subject'Electrochemistry'
dc.subject'Energy Generation
dc.subjectConversion and Storage Engineering'
dc.subject'Automotive Engineering not elsewhere classified'
dc.titleMATLAB and Simulink Models for 'Improved State of Charge Estimation for Lithium-Sulfur Batteries'
dc.typeDataset

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