A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature

A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature

Electrochemical capacitors (ECs) have only recently been considered as an alternative power source for telemetry sensors of drilling equipment for geothermal or oil and gas exploration. The lifecycle analysis and modelling of ECs is underrepresented in literature in comparison to other storage devic...

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Bibliographic Details
Main Authors: Darius Roman, Saurabh Saxena, Jens Bruns, Robu Valentin, Michael Pecht, David Flynn
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Machine learning
energy storage
electrochemical capacitors
supercapacitors
data analysis
Online Access:https://ieeexplore.ieee.org/document/9350313/

Internet

https://ieeexplore.ieee.org/document/9350313/

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