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dc.contributor.authorÇelik, Mert
dc.contributor.authorGözüküçük, Mehmet Ali
dc.contributor.authorAkdoğan, Taylan
dc.contributor.authorUğurdağ, Hasan Fatih
dc.date.accessioned2020-09-10T13:12:37Z
dc.date.available2020-09-10T13:12:37Z
dc.date.issued2019
dc.identifier.isbn978-605011275-7
dc.identifier.urihttp://hdl.handle.net/10679/6938
dc.identifier.urihttps://ieeexplore.ieee.org/document/8990538
dc.description.abstractState of Charge (SOC) estimation is critical for battery powered devices in order to find out the remaining charge level. This process is relatively straightforward when the battery is in the resting state. However, it can be challenging while the device is operating, due to the process disturbances and model uncertainties. Various kinds of approaches have already been proposed in the literature like Neural Networks, Kalman Filtering, and Nonlinear Observers. Nevertheless, proposed methods in the literature do not have fast response for initial condition errors. This paper proposes a new implementation of Extended Kalman Filter, which improves the convergence characteristics of states for SOC estimation. The importance of initial condition errors is articulated in this paper, especially from an automotive perspective.en_US
dc.description.sponsorshipTÜBİTAK
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/115E097
dc.relationinfo:turkey/grantAgreement/TUBITAK/115E127
dc.relation.ispartof2019 11th International Conference on Electrical and Electronics Engineering (ELECO)
dc.rightsrestrictedAccess
dc.titleSOC estimation for li-Ion batteries using extended kalman filter with PID controlled process noise according to the voltage erroren_US
dc.typeConference paperen_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-0646-4637 & YÖK ID 144754) Akdoğan, Taylan
dc.contributor.authorID(ORCID 0000-0002-6256-0850 & YÖK ID 118293) Uğurdağ, Fatih
dc.contributor.ozuauthorAkdoğan, Taylan
dc.contributor.ozuauthorUğurdağ, Hasan Fatih
dc.identifier.startpage810en_US
dc.identifier.endpage814en_US
dc.identifier.wosWOS:000552654100163
dc.identifier.doi10.23919/ELECO47770.2019.8990538en_US
dc.identifier.scopusSCOPUS:2-s2.0-85080933902
dc.contributor.ozugradstudentÇelik, Mert
dc.contributor.ozugradstudentGözüküçük, Mehmet Ali
dc.contributor.authorMale4
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and Graduate Student


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