Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Iterative Transfer Learning and Mogrifier LSTM

Lithium-ion battery health and remaining useful life (RUL) are essential indicators for reliable operation. Currently, most of the RUL prediction methods proposed for lithium-ion batteries use data-driven methods, but the length of training data limits data-driven strategies. To solve this problem a...

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Bibliographic Details
Main Authors: Zihan Li, Fang Bai, Hongfu Zuo, Ying Zhang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Batteries
Subjects:
Online Access:https://www.mdpi.com/2313-0105/9/9/448