Attention-Based Long Short-Term Memory Recurrent Neural Network for Capacity Degradation of Lithium-Ion Batteries

Attention-Based Long Short-Term Memory Recurrent Neural Network for Capacity Degradation of Lithium-Ion Batteries

Monitoring cycle life can provide a prediction of the remaining battery life. To improve the prediction accuracy of lithium-ion battery capacity degradation, we propose a hybrid long short-term memory recurrent neural network model with an attention mechanism. The hyper-parameters of the proposed mo...

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Bibliographic Details
Main Authors: Tadele Mamo, Fu-Kwun Wang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Batteries
Subjects:
lithium-ion battery
capacity degradation
long short-term memory
attention mechanism
Online Access:https://www.mdpi.com/2313-0105/7/4/66

Internet

https://www.mdpi.com/2313-0105/7/4/66

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