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Hybrid State of Charge Estimation of Lithium-Ion Battery Using the Coulomb Counting Method and an Adaptive Unscented Kalman Filter

This paper establishes an accurate and reliable study for estimating the lithium-ion battery’s State of Charge (SoC). An accurate state space model is used to determine the parameters of the battery’s nonlinear model. African Vultures Optimizers (AVOA) are used to solve the issue of identifying the...

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Gardado en:
Principais autores: Hend M. Fahmy, Rania A. Swief, Hany M. Hasanien, Mohammed Alharbi, José Luis Maldonado, Francisco Jurado
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2023-07-01
Series:Energies
Assuntos:
Li-ion batteries
battery management system (BMS)
state of charge (SoC)
battery model
parameter identification
Kalman filters
Acceso en liña:https://www.mdpi.com/1996-1073/16/14/5558
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