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master's thesis
Projektiranje estimatora stanja napunjenosti baterije temeljenog na Kalmanovom filtru
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2018. urn:nbn:hr:235:608969
Matijašić, Matija
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Matijašić, M. (2018). Projektiranje estimatora stanja napunjenosti baterije temeljenog na Kalmanovom filtru (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:608969

Matijašić, Matija. "Projektiranje estimatora stanja napunjenosti baterije temeljenog na Kalmanovom filtru." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2018. https://urn.nsk.hr/urn:nbn:hr:235:608969

Matijašić, Matija. "Projektiranje estimatora stanja napunjenosti baterije temeljenog na Kalmanovom filtru." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2018. https://urn.nsk.hr/urn:nbn:hr:235:608969

Matijašić, M. (2018). 'Projektiranje estimatora stanja napunjenosti baterije temeljenog na Kalmanovom filtru', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 19 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:608969

Matijašić M. Projektiranje estimatora stanja napunjenosti baterije temeljenog na Kalmanovom filtru [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2018 [cited 2024 December 19] Available at: https://urn.nsk.hr/urn:nbn:hr:235:608969

M. Matijašić, "Projektiranje estimatora stanja napunjenosti baterije temeljenog na Kalmanovom filtru", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:235:608969

Metadata
TitleProjektiranje estimatora stanja napunjenosti baterije temeljenog na Kalmanovom filtru
Title (english)Design of battery state-of-charge estimator based on Kalman filter
AuthorMatija Matijašić
MentorDanijel Pavković (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2018-12-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Kod nekih procesa ili sustava ponekad nije moguće ili je vrlo teško ili čak preskupo izmjeriti neke fizikalne veličine. Jedno od mogućih rješenja navedenog problema je primjena estimatora teško mjerljivih veličina. Ovaj rad bavi se problemom estimacije stanja napunjenosti (SoC) baterije. Projektirano je više estimatora temeljenih na konceptu Kalmanovog filtra koji su nakon toga primijenjeni na različite modele baterija. Na početku rada dan je kratki pregled i opis elektrokemijskih sustava za skladištenje električne energije te su navedeni i opisani glavni parametri baterija. Slijedi pregled raznih matematičkih modela baterija te njihove matematičke formulacije i izvodi, kao i odabir modela pogodnih za estimaciju. Nakon toga, opisani su i izvedeni estimatori korišteni u radu, a to su klasični stacionarni Kalmanov filtar, prošireni Kalmanov filtar (EKF) i nederivacijski Kalmanov filtar (UKF). Nakon prikaza estimatora, prikazani su i komentirani rezultati simulacija za karakteristične slučajeve te je također prikazano ponašanje raznih parametara baterije ovisno o stanju napunjenosti.
Abstract (english)
In some processes or systems, sometimes it is not possible, or it is very hard or far too expensive to measure some physical states. One of the ways to solve the aforementioned problem is to use state estimator. With this in mind, this work deals with the problem of battery State-of-Charge (SoC) estimation. Several estimators based on Kalman Filter have been designed and then applied on different battery models. At the beginning of this work, a brief overview and description of the electrochemical systems for the energy storage has been given and the main battery parameters has been stated and described. Afterwards, a review of various mathematical models and their mathematical formulations are given and battery models for estimation were chosen. Then, estimators which were used in the thesis are described and extracted, and those are classic stationary Kalman filter, Extended Kalman filter and Unscented Kalman filter. After the estimators are outlined, simulation results are shown and commented for the considered simulation scenarios.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:608969
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-05-24 12:58:44