Pregled bibliografske jedinice broj: 1070943
Analysis of ECM-based Li-Ion Battery State and Parameter Estimation Accuracy in the Presence of OCV and Polarization Dynamics Modeling Errors
Analysis of ECM-based Li-Ion Battery State and Parameter Estimation Accuracy in the Presence of OCV and Polarization Dynamics Modeling Errors // Proceedings of the 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)
Delft, Nizozemska, 2020. str. 1280-1286 doi:10.1109/ISIE45063.2020.9152227 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Analysis of ECM-based Li-Ion Battery State and Parameter Estimation Accuracy in the Presence of OCV and Polarization Dynamics Modeling Errors
Autori
Maletić, Filip ; Deur, Joško
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)
/ - , 2020, 1280-1286
ISBN
978-1-7281-5635-4
Skup
IEEE International Symposium on Industrial Electronics (ISIE)
Mjesto i datum
Delft, Nizozemska, 17.06.2020. - 19.06.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Lithium-ion battery ; equivalent circuit model ; estimation ; Kalman filter ; open-circuit voltage model ; polarization time constant
Sažetak
The paper presents an analysis of a dual Kalman filter-based estimator of Li-Ion battery equivalent circuit model (ECM) states and parameters, which include state of charge (SoC), internal resistances and open-circuit voltage (OCV) vs. SoC curve parameters. Different estimator structures are analyzed in order to identify the causes and magnitudes of related estimation errors. First, a standard dual estimator relying on known, invariant OCV vs. SoC characteristic is analyzed. The OCV vs. SoC characteristic is then modeled using a parametric model whose parameters are identified off-line in one case and estimated in the other. Next, the ECM is modified to include the OCV hysteresis effect, while the estimator is upgraded with an adaptation mechanism to capture the hysteresis effect without compromising the overall estimation accuracy. Finally, the estimator sensitivity with respect to inaccurate parameterization of the polarization capacitance/time constant is analyzed and compared with the sensitivity to OCV modeling errors.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb