Machine Learning approach for Prediction of residual energy in batteries

Machine Learning approach for Prediction of residual energy in batteries

The ability to predict battery residual life (RL) in advance is critical for ensuring a reliable supply of energy and the most efficient use of that energy. When it comes to precisely predicting the level of charge of batteries, battery management systems must be durable and trustworthy (SoC). Becau...

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Bibliographic Details
Main Authors: T. Jayakumar, Natesh M. Gowda, R. Sujatha, Shankar Nayak Bhukya, G. Padmapriya, S. Radhika, V. Mohanavel, M. Sudhakar, Ravishankar Sathyamurthy
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Residual energy
Prediction
Batteries
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472201962X

Internet

http://www.sciencedirect.com/science/article/pii/S235248472201962X

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