Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters

Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters

This work investigates the effectiveness of deep neural networks within the realm of battery charging. This is done by introducing an innovative control methodology that not only ensures safety and optimizes the charging current, but also substantially reduces the computational complexity with respe...

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Bibliographic Details
Main Authors:	Andrea Pozzi, Enrico Barbierato, Daniele Toti
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Sensors
Subjects:	machine learning deep learning neural networks computational complexity predictive control battery management systems
Online Access:	https://www.mdpi.com/1424-8220/23/9/4404

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