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master's thesis
Algoritmi za određivanje razine napunjenosti baterije
2021. urn:nbn:hr:190:004661
Marušić, Matej
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Electronics, Robotics and Automation

Cite this document

Marušić, M. (2021). Algoritmi za određivanje razine napunjenosti baterije (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:004661

Marušić, Matej. "Algoritmi za određivanje razine napunjenosti baterije." Master's thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:004661

Marušić, Matej. "Algoritmi za određivanje razine napunjenosti baterije." Master's thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:004661

Marušić, M. (2021). 'Algoritmi za određivanje razine napunjenosti baterije', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 23 January 2025, https://urn.nsk.hr/urn:nbn:hr:190:004661

Marušić M. Algoritmi za određivanje razine napunjenosti baterije [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2021 [cited 2025 January 23] Available at: https://urn.nsk.hr/urn:nbn:hr:190:004661

M. Marušić, "Algoritmi za određivanje razine napunjenosti baterije", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:190:004661

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Metadata
TitleAlgoritmi za određivanje razine napunjenosti baterije
Title (english)State of Charge Estimation Algorithms Analysis
AuthorMatej Marušić
MentorSaša Sladić (mentor)
Committee memberRene Prenc (predsjednik povjerenstva)
Committee memberSaša Sladić (član povjerenstva)
Committee memberVitomir Komen (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Electronics, Robotics and Automation)
Rijeka
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U literaturi se mogu pronaći razni algoritmi za estimaciju razine napunjenosti i identifikaciju parametara baterijskog sustava, pa su u ovom radu prikazana dvije metode čije varijacije se često koriste kod ovakvih sustava. Odabrani algoritmi estimiraju parametre baterije koji su opisani ekvivalentnim električnim krugom, te razinu napunjenosti baterije. Rekurzivna metoda najmanjih kvadrata s težinskim faktorom samostalno nije dala zadovoljavajuću razinu točnosti, pa je u radu dodatno obrađen algoritam koji združuje rekurzivnu metodu najmanjih kvadrata s težinskim faktorom i prošireni Kalman filter.
Abstract (english)
Various algorithms for state of charge estimation and battery parameters identification can be found in the literature, so this paper presents two methods whose variations are common in such systems. Selected algorithms for estimating battery parameters described by equivalent circuits model, and battery state of charge. The recursive least squares method with a forgetting factor alone did not give a satisfactory level of accuracy, so the paper additionally deals with an algorithm that combines the recursive method of least squares with forgetting factors and an extended Kalman filter.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:004661
Study programmeTitle: Graduate University Study of Electrical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-27 07:39:33