A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

As widely used for secondary energy storage, lithium-ion batteries have become the core component of the power supply system and accurate remaining useful life prediction is the key to ensure its reliability. Because of the complex working characteristics of lithium-ion batteries as well as the mode...

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Bibliographic Details
Main Authors: Shunli Wang, Siyu Jin, Dekui Bai, Yongcun Fan, Haotian Shi, Carlos Fernandez
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472100785X