The Application of Kalman Filter for Lead-Acid Battery State of Charge Estimation
| dc.contributor.author | Tekkok, Sercan Cagdas | |
| dc.contributor.author | Bostanci, Bekir | |
| dc.contributor.author | Soyunmez, Mehmet Emre | |
| dc.contributor.author | Oğuz Ekim, Pınar | |
| dc.date.accessioned | 2023-06-16T14:25:24Z | |
| dc.date.available | 2023-06-16T14:25:24Z | |
| dc.date.issued | 2021 | |
| dc.description | 8th International Conference on Electrical and Electronics Engineering (ICEEE) -- APR 09-11, 2021 -- Antalya, TURKEY | en_US |
| dc.description.abstract | Battery systems are crucial part of the most applications which are mobile and have electronic components from autonomous mobile robots to mobile phones. Hence, it is important to keep track of the state of the battery and its health in order to make these devices reliable and also protect the battery from over discharges and overcharges. There are different methods to estimate it but not all of them applicable for mobile systems. Thus, this study discusses and compares three methods that can be used for mobile applications and batteries that are under continuous use. The coulomb counting method, the linear counting model and the extended Kalman filter with nonlinear battery model are tested with both simulated and real data with a lead acid battery. | en_US |
| dc.description.sponsorship | IEEE | en_US |
| dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) [2200073] | en_US |
| dc.description.sponsorship | This research is supported by Scientific and Technological Research Council of Turkey (TUBITAK), project number 2200073. | en_US |
| dc.identifier.doi | 10.1109/ICEEE52452.2021.9415925 | |
| dc.identifier.isbn | 978-1-6654-4071-4 | |
| dc.identifier.scopus | 2-s2.0-85106470946 | |
| dc.identifier.uri | https://doi.org/10.1109/ICEEE52452.2021.9415925 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/1942 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2021 8Th Internatıonal Conference on Electrıcal And Electronıcs Engıneerıng (Iceee 2021) | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | state of charge | en_US |
| dc.subject | coulomb counting | en_US |
| dc.subject | Kalman filter | en_US |
| dc.subject | Of-Charge | en_US |
| dc.title | The Application of Kalman Filter for Lead-Acid Battery State of Charge Estimation | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
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| gdc.description.department | İzmir Ekonomi Üniversitesi | en_US |
| gdc.description.departmenttemp | [Tekkok, Sercan Cagdas; Bostanci, Bekir; Soyunmez, Mehmet Emre; Ekim, Pinar Oguz] Izmir Univ Econ, Elect & Elect Engn Dept, Izmir, Turkey | en_US |
| gdc.description.endpage | 58 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 54 | en_US |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W3161243130 | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.oaire.sciencefields | 0210 nano-technology | |
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| gdc.virtual.author | Oğuz Ekim, Pınar | |
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