SOC and SOH Prediction of Lithium‐Ion Batteries Based on LSTM–AUKF Joint Algorithm

SOC and SOH Prediction of Lithium‐Ion Batteries Based on LSTM–AUKF Joint Algorithm

ABSTRACT Lithium batteries are increasingly favored for energy storage due to their high energy density, long cycle life, and robust charge and discharge rates. However, safety concerns necessitate the implementation of a battery management system (BMS) to monitor battery status, maintain energy bal...

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Bibliographic Details
Main Authors: Yancheng Song, Jiaqi Lu, Huai Zhang, Guangjun Liu
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Energy Science & Engineering
Subjects:
AUKF
LSTM
number‐model fusion method
SOC and SOH prediction
Online Access:https://doi.org/10.1002/ese3.1992

Internet

https://doi.org/10.1002/ese3.1992

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