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Extended Kalman Filter Design for State-of-Charge Estimation of a Lithium-Titanate Battery Cell

descriptionPublicationkeyboard_double_arrow_right Conference object 19 Oct 2022 Croatia Publisher:IEEEJournal:2022 International Conference on Smart Systems and Technologies (SST)

Authors: Kvaternik, Karlo; Pavković, Danijel; Kozhushko, Yuliia; Cipek Mihael;

doi: 10.1109/sst55530.2022.9954682

Extended Kalman Filter Design for State-of-Charge Estimation of a Lithium-Titanate Battery Cell

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Abstract

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.

Country

Croatia

Related Organizations

University of Rijeka, Faculty of Physics
Croatia
National Technical University of Ukraine Kiev Polytechnic Institute
Ukraine
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
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University of Split
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University of Zagreb
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Keywords

Lithium-Titanate Battery ; Extended Kalman Filter ; Thevenin Model ; State-of-Charge Estimation ; Simulations

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