Prediction of the Remaining Useful Life of Lithium–Ion Batteries Based on Mode Decomposition and ED-LSTM

The prediction of remaining useful life (RUL) of lithium–ion batteries is key to the reliability assessment of batteries and affects safe application of batteries. This article introduces a CEEMDAN-RF-MHA-ED-LSTM method. Using CEEMDAN, the battery capacity data were decomposed to obtain intrinsic mo...

Full description

Bibliographic Details

Published in:	Batteries
Main Authors:	Bingzeng Song, Guangzhao Yue, Dong Guo, Hanming Wu, Yonghai Sun, Yuhua Li, Bin Zhou
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Subjects:	lithium–ion battery life prediction modal decomposition particle swarm optimization algorithm long short-term memory network
Online Access:	https://www.mdpi.com/2313-0105/11/3/86