Indirect Prediction of Lithium-Ion Battery RUL Based on CEEMDAN and CNN-BiGRU

Indirect Prediction of Lithium-Ion Battery RUL Based on CEEMDAN and CNN-BiGRU

Predicting the remaining useful life (RUL) of lithium-ion batteries is crucial for enhancing their reliability and safety. Addressing the issue of inaccurate RUL predictions caused by the nonlinear decay resulting from capacity regeneration, this paper proposes an indirect lithium-ion battery RUL pr...

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Bibliographic Details
Main Authors:	Kai Lv, Zhiqiang Ma, Caijilahu Bao, Guangchen Liu
Format:	Article
Language:	English
Published:	MDPI AG 2024-04-01
Series:	Energies
Subjects:	lithium-ion battery capacity regeneration remaining useful life complete ensemble empirical mode decomposition with adaptive noise bidirectional gate recurrent unit network
Online Access:	https://www.mdpi.com/1996-1073/17/7/1704

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