Capacity Prediction and Validation of Lithium-Ion Batteries Based on Long Short-Term Memory Recurrent Neural Network

Capacity Prediction and Validation of Lithium-Ion Batteries Based on Long Short-Term Memory Recurrent Neural Network

Capacity prediction of lithium-ion batteries represents an important function of battery management systems. Conventional machine learning-based methods for capacity prediction are inefficient to learn long-term dependencies during capacity degradations. This paper investigates the deep learning met...

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Bibliographic Details
Main Authors: Zheng Chen, Qiao Xue, Yitao Wu, Shiquan Shen, Yuanjian Zhang, Jiangwei Shen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Lithium-ion batteries
capacity prediction
aging factors
long short-term memory (LSTM)
Online Access:https://ieeexplore.ieee.org/document/9203802/

Internet

https://ieeexplore.ieee.org/document/9203802/

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