Pregled bibliografske jedinice broj: 1225557
Extended Kalman Filter Design for State-of-Charge Estimation of a Lithium-Titanate Battery Cell
Extended Kalman Filter Design for State-of-Charge Estimation of a Lithium-Titanate Battery Cell // Proceedings of International Conference on Smart Systems and Technologies (SST 2022) / Nyarko, Emmanuel Karlo ; Matić, Tomislav ; Cupec, Robert ; Vranješ, Mario (ur.).
Osijek: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 239-244 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Extended Kalman Filter Design for State-of-Charge Estimation of a Lithium-Titanate Battery Cell
Autori
Kvaternik, Karlo ; Pavković, Danijel ; Kozhushko, Yuliia ; Cipek Mihael
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of International Conference on Smart Systems and Technologies (SST 2022)
/ Nyarko, Emmanuel Karlo ; Matić, Tomislav ; Cupec, Robert ; Vranješ, Mario - Osijek : Institute of Electrical and Electronics Engineers (IEEE), 2022, 239-244
ISBN
978-1-6654-8214-1
Skup
International Conference on Smart Systems and Technologies 2022 (SST 2022)
Mjesto i datum
Osijek, Hrvatska, 19.10.2022. - 21.10.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Lithium-Titanate Battery ; Extended Kalman Filter ; Thevenin Model ; State-of-Charge Estimation ; Simulations
Sažetak
This paper presents the design of an extended Kalman filter (EKF) as a state-of-charge (SoC) estimator for a lithium–titanate (LTO) battery cell. The design is based on a Thevenin model of the equivalent battery electrical circuit with two parallel resistive-capacitive (RC) elements for the emulation of electrolyte polarization effects. The effectiveness of the proposed SoC estimator is verified through computer simulations on the comprehensive nonlinear battery simulation model featuring battery parameter vs. SoC variations, which is subject to highly dynamic loading regimes.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo
POVEZANOST RADA
Projekti:
EK-H2020-824433 - Maximizing the impact of innovative energy approaches in the EU islands (INSULAE) (Krajačić, Goran, EK - H2020-LC-SC3-2018-ES-SCC) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
