Electrochemical Impedance Spectrum Equivalent Circuit Parameter Identification Using a Deep Learning Technique

Electrochemical Impedance Spectrum Equivalent Circuit Parameter Identification Using a Deep Learning Technique

Physical models are suitable for the development and optimization of materials and cell designs, whereas models based on experimental data and electrical equivalent circuits (EECs) are suitable for the development of operation estimators, both for cells and batteries. This research work develops an...

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Bibliographic Details
Main Authors: Asier Zulueta, Ekaitz Zulueta, Javier Olarte, Unai Fernandez-Gamiz, Jose Manuel Lopez-Guede, Saioa Etxeberria
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Electronics
Subjects:
neural networks
deep learning
electrical equivalent circuit
electrochemical impedance spectroscopy
model-based estimators
lead–acid batteries
Online Access:https://www.mdpi.com/2079-9292/12/24/5038

Internet

https://www.mdpi.com/2079-9292/12/24/5038

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