Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model
ABSTRACT Accurately predict the remaining useful life (RUL) of lithium‐ion batteries for energy storage is of critical significance to ensure the safety and reliability of electric vehicles, which can offer efficient early warning signals in a timely manner. Considering nonlinear changes in the agin...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-11-01
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Series: | Energy Science & Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1002/ese3.1952 |
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