Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries

Accurate estimation of the state of charge (SOC) and state of health (SOH) is crucial for safe and reliable operation of batteries. Voltage measurement bias strongly affects state estimation accuracy, especially in Lithium Iron Phosphate (LFP) batteries, owing to the flat open-circuit voltage (OCV)...

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Veröffentlicht in:	IEEE transactions on power electronics 2025-02, Vol.40 (2), p.3033-3042
Hauptverfasser:	Yi, Baozhao, Du, Xinhao, Zhang, Jiawei, Wu, Xiaogang, Hu, Qiuhao, Jiang, Weiran, Hu, Xiaosong, Song, Ziyou
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Batteries Battery charge measurement Bias-compensated algorithm Electronic mail Estimation Kalman filters lithium iron phosphate batteries Machine learning algorithms State estimation State of charge Voltage measurement voltage measurement bias
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