Naslov
Introducing state variance coupling within a multi-timescale Kalman filter for improved Li-ion battery capacity estimation convergence properties

Autori
Maletić, Filip ; Deur, Joško

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe) / - , 2021, 1-10

ISBN
978-9-0758-1537-5

Skup
23rd European Conference on Power Electronics and Applications

Mjesto i datum
Gent, Belgija, 06.09.2021. - 10.09.2021

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Battery Management Systems (BMS) ; Estimation technique ; Batteries ; Automotive application

Sažetak
Estimators of lithium-ion battery states and parameters are usually divided in two coupled estimators realized in different timescales and based upon a battery equivalent circuit model (ECM). The estimator of battery state-of-charge (SoC) and ECM impedance parameters operates in the fast time scale, while the estimator of battery remaining charge capacity executes in the slow time scale. The paper presents an adaptive variance-coupling of SoC and capacity estimators aimed at improving the overall estimation performance in terms of accuracy and convergence speed. The emphasis is on presenting a detailed simulation analysis of the adaptively-coupled multi-timescale estimator features, including the convergence rate, parametrization robustness and capacity fade tracking.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

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