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Dual coulomb counting extended kalman filter for battery SOC determination

2021Conference paper Open access
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dc.contributor.authorChellal, Arezki Abderrahim
dc.contributor.authorLima, José
dc.contributor.authorGonçalves, José
dc.contributor.authorMegnafi, Hicham
dc.date.accessioned2022-01-17T14:34:02Z
dc.date.available2022-01-17T14:34:02Z
dc.date.issued2021
dc.description.abstractThe importance of energy storage continues to grow, whether in power generation, consumer electronics, aviation, or other systems. Therefore, energy management in batteries is becoming an increasingly crucial aspect of optimizing the overall system and must be done properly. Very few works have been found in the literature proposing the implementation of algorithms such as Extended Kalman Filter (EKF) to predict the State of Charge (SOC) in small systems such as mobile robots, where in some applications the computational power is severely lacking. To this end, this work proposes an implementation of the two algorithms mainly reported in the literature for SOC estimation, in an ATMEGA328P microcontroller-based BMS. This embedded system is designed taking into consideration the criteria already defined for such a system and adding the aspect of flexibility and ease of implementation with an average error of 5% and an energy efficiency of 94%. One of the implemented algorithms performs the prediction while the other will be responsible for the monitoring.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationChellal, Arezki A.; Lima, José; Gonçalves, José; Megnafi, Hicham (2021). Dual coulomb counting extended kalman filter for battery SOC determination. In 1st International Conference on Optimization, Learning Algorithms and Applications, OL2A 2021. p. 219-234. ISBN 978-303091884-2pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_16pt_PT
dc.identifier.isbn978-303091884-2
dc.identifier.urihttp://hdl.handle.net/10198/24683
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPrediction algorithmpt_PT
dc.subjectBattery management systempt_PT
dc.subjectExtended Kalman filterpt_PT
dc.subjectEngineering applicationspt_PT
dc.titleDual coulomb counting extended kalman filter for battery SOC determinationpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceBragança, Portugalpt_PT
oaire.citation.endPage234pt_PT
oaire.citation.startPage219pt_PT
oaire.citation.titleCommunications in Computer and Information Science Volume 1488 CCIS, Pages 219-234 (15)pt_PT
oaire.citation.volume1488pt_PT
person.familyNameChellal
person.familyNameLima
person.familyNameGonçalves
person.givenNameArezki Abderrahim
person.givenNameJosé
person.givenNameJosé
person.identifierR-000-8GD
person.identifierR-000-7ZW
person.identifier.ciencia-id8215-2A5A-EADB
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id8112-DCE2-D025
person.identifier.orcid0000-0002-9190-6865
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0002-5499-1730
person.identifier.ridL-3370-2014
person.identifier.ridB-8547-2018
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id48361230200
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication59a3f1c2-d0ee-4fb2-b27a-025ebfd8f20b
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication6a3b0b39-7fe9-4450-94f4-ced3941947da
relation.isAuthorOfPublication.latestForDiscovery6a3b0b39-7fe9-4450-94f4-ced3941947da

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