Remaining useful life prediction of li-ion batteries based on an improved transformer model

Precise Remaining Useful Life (RUL) prediction of Li-ion battery is crucial for health management and state estimation. With the rapid growth of new energy vehicles, it is a pressing need to enhance RUL prediction techniques. Under the development of artificial intelligence technology, physical meth...

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Bibliographic Details
Main Authors: Qingsong Wang, Annuo Yu, Hao Ding, Ming Cheng, Giuseppe Buja
Format: Article
Language:English
Published: China electric power research institute 2024-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10748584/
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