Data Augmentation and Feature Selection for the Prediction of the State of Charge of Lithium-Ion Batteries Using Artificial Neural Networks

Data Augmentation and Feature Selection for the Prediction of the State of Charge of Lithium-Ion Batteries Using Artificial Neural Networks

Lithium-ion batteries are a key technology for the electrification of the transport sector and the corresponding move to renewable energy. It is vital to determine the condition of lithium-ion batteries at all times to optimize their operation. Because of the various loading conditions these batteri...

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Bibliographic Details
Main Authors: Sebastian Pohlmann, Ali Mashayekh, Manuel Kuder, Antje Neve, Thomas Weyh
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
lithium-ion batteries
state of charge
machine learning
artificial neural networks
data augmentation
Online Access:https://www.mdpi.com/1996-1073/16/18/6750

Internet

https://www.mdpi.com/1996-1073/16/18/6750

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