Pregled bibliografske jedinice broj: 775820
Experimental Characterization and Development of a SoC/SoH Estimator for a LiFePO4 Battery Cell
Experimental Characterization and Development of a SoC/SoH Estimator for a LiFePO4 Battery Cell // Proceedings of IEEE EUROCON 2015 (16th International Conference on Computer as a Tool) / Haase, Jan ; Kakarountas, Athanasios ; Graña, Manuel ; Fraile-Ardanuy, Jesús ; Debono, Carl James ; Quintián, Héctor ; Corchado, Emilio (ur.).
Salamanca: Institute of Electrical and Electronics Engineers (IEEE), 2015. str. 397-402 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 775820 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Experimental Characterization and Development of a SoC/SoH Estimator for a LiFePO4 Battery Cell
Autori
Pavković, Danijel ; Komljenović, Ante ; Hrgetić, Mario ; Krznar, Matija
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of IEEE EUROCON 2015 (16th International Conference on Computer as a Tool)
/ Haase, Jan ; Kakarountas, Athanasios ; Graña, Manuel ; Fraile-Ardanuy, Jesús ; Debono, Carl James ; Quintián, Héctor ; Corchado, Emilio - Salamanca : Institute of Electrical and Electronics Engineers (IEEE), 2015, 397-402
ISBN
978-1-4799-8569-2
Skup
16th International Conference on Computer as a Tool (IEEE EUROCON 2015)
Mjesto i datum
Salamanca, Španjolska, 08.09.2015. - 11.09.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
LiFePO4 cell ; modeling ; extended Kalman filter ; state-of-charge ; state-of-health ; Coulomb counting ; combined estimator
Sažetak
This paper presents the results of experimental characterization of an automotive LiFePO4 battery cell for the purpose of building of a control-oriented battery equivalent electrical circuit model suitable for designing a combined state-of-charge (SoC) and state-of-health (SoH) estimator. The SoC/SoH estimator design has been based on the time-series representation of the battery model utilized within the extended Kalman filter (EKF) parameter estimator, with SoC reconstruction based on the known open-circuit voltage vs. discharged charge curve. In order to provide a consistent SoC estimate during low-excitation intervals, EKF-based estimation has been combined with a Coulomb (charge) counting approach. The effectiveness of the proposed SoC/SoH estimator has been verified by means of computer simulations on the developed battery model for different battery operating regimes.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
120-0361621-1896 - MODELIRANJE I UPRAVLJANJE HIBRIDNIM VOZILIMA (Petrić, Joško, MZOS ) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb