Modeling Battery Energy Storage Systems Based on Remaining Useful Lifetime through Regression Algorithms and Binary Classifiers

Modeling Battery Energy Storage Systems Based on Remaining Useful Lifetime through Regression Algorithms and Binary Classifiers

This research work implements an initial methodology for the assessment of Battery Energy Storage Systems (BESSs) based on Remaining Useful Lifetime (RUL), and its main contribution is the modeling and estimation of Health and Charge indicators through regression algorithms and binary classifiers du...

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Bibliographic Details
Main Authors: Rolando Gilbert Zequera, Viktor Rjabtšikov, Anton Rassõlkin, Toomas Vaimann, Ants Kallaste
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
charge
discharge
battery
capacity
classifier
regression
Online Access:https://www.mdpi.com/2076-3417/13/13/7597

Internet

https://www.mdpi.com/2076-3417/13/13/7597

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