Naslov
Simultaneous State and Parameter Estimation for an Electric Scooter Li-NMC Battery Pack

Autori
Maletić, Filip ; Hrgetić, Mario ; Deur, Joško

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

Izvornik
Digital proceedings of the 14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES) / - Zagreb : SDEWES, 2019, 1-14

Skup
14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES)

Mjesto i datum
Dubrovnik, Hrvatska, 01.10.2019. - 06.10.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
Electric vehicles ; State-of-Charge ; State-of-Health ; capacity ; Extended Kalman filter ; Sigma-point Kalman filter

Sažetak
Accurate, real-time estimation of battery State-of-Charge and State-of-Health represents crucial part of modern battery management systems. Nonlinear and battery degradation-dependent behaviour of output voltage complicates the design of those estimation algorithms, which should be based on parameter-varying models. To this end, the paper proposes a combined state and parameter estimation algorithm, whose performance is experimentally validated for real driving cycles of an electric scooter battery pack. Algorithm is based on nonlinear Kalman filters, and it estimates all relevant parameters of first-order battery equivalent circuit model, such as resistance and open-circuit voltage parameters as well as battery remaining capacity.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA