Joint Battery State of Charge Estimation Method Based on a Fractional-Order Model with an Improved Unscented Kalman Filter and Extended Kalman Filter for Full Parameter Updating

Joint Battery State of Charge Estimation Method Based on a Fractional-Order Model with an Improved Unscented Kalman Filter and Extended Kalman Filter for Full Parameter Updating

State estimation of batteries is crucial in battery management systems (BMSs), particularly for accurately predicting the state of charge (SOC), which ensures safe and efficient battery operation. This paper proposes a joint SOC estimation method based on a fractional-order model, utilizing a multi-...

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Bibliographic Details
Main Authors: Jingjin Wu, Yuhao Li, Qian Sun, Yu Zhu, Jiejie Xing, Lina Zhang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Fractal and Fractional
Subjects:
fractional-order model
state of charge (SOC)
battery management system
multi-innovation
online update of battery parameters
Online Access:https://www.mdpi.com/2504-3110/8/12/695
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