Indirect Prediction for Lithium-Ion Batteries RUL Using Multi-Objective Arithmetic Optimization Algorithm-Based Deep Extreme Learning Machine

Indirect Prediction for Lithium-Ion Batteries RUL Using Multi-Objective Arithmetic Optimization Algorithm-Based Deep Extreme Learning Machine

Lithium-ion batteries (LIBs) experience aging degradation during long-term operation. Accurate prediction of the remaining useful life (RUL) in advance is crucial to ensure continuous and reliable energy supply of the battery management system (BMS). Aiming at the problem of limited robustness of de...

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Bibliographic Details
Main Authors: Linna Li, Zhong Huang, Guorong Ding
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Lithium-ion batteries SOH estimation
RUL prediction
MOAOA-DELM
health indexes
Online Access:https://ieeexplore.ieee.org/document/10265251/

Internet

https://ieeexplore.ieee.org/document/10265251/

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