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

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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Bibliographic Details
Main Authors: Hend M. Fahmy, Rania A. Swief, Hany M. Hasanien, Mohammed Alharbi, José Luis Maldonado, Francisco Jurado
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Energies
Subjects:
Li-ion batteries
battery management system (BMS)
state of charge (SoC)
battery model
parameter identification
Kalman filters
Online Access:https://www.mdpi.com/1996-1073/16/14/5558

Internet

https://www.mdpi.com/1996-1073/16/14/5558

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