State of Charge Estimation of Flooded Lead Acid Battery Using Adaptive Unscented Kalman Filter

State of Charge Estimation of Flooded Lead Acid Battery Using Adaptive Unscented Kalman Filter

Flooded Lead Acid (FLA) batteries remain a cost-effective choice in various industries. Accurate State of Charge (SOC) estimation is crucial for effective battery management systems. This paper thoroughly examines the behavior of Open-Circuit Voltage (OCV) during hysteresis in FLA batteries, proposi...

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Bibliographic Details
Main Authors: Abdul Basit Khan, Abdul Shakoor Akram, Woojin Choi
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Energies
Subjects:
hysteresis modeling
flooded battery
SOC estimation
Unscented Kalman Filter
Online Access:https://www.mdpi.com/1996-1073/17/6/1275

Internet

https://www.mdpi.com/1996-1073/17/6/1275

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