Ensemble Model Based on Stacked Long Short-Term Memory Model for Cycle Life Prediction of Lithium–Ion Batteries

Ensemble Model Based on Stacked Long Short-Term Memory Model for Cycle Life Prediction of Lithium–Ion Batteries

To meet the target value of cycle life, it is necessary to accurately assess the lithium–ion capacity degradation in the battery management system. We present an ensemble model based on the stacked long short-term memory (SLSTM), which is used to predict the capacity cycle life of lithium–ion batter...

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Bibliographic Details
Main Authors: Fu-Kwun Wang, Chang-Yi Huang, Tadele Mamo
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
lithium–ion battery
ensemble model
gradient boosted regression
long short-term memory
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/10/10/3549

Internet

https://www.mdpi.com/2076-3417/10/10/3549

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