Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems

Lithium-ion batteries play a pivotal role in enabling eco-friendly mobility, particularly in electric vehicles, but optimizing their charging process to improve battery lifespan, safety, and overall efficiency remains a significant challenge. Traditional predictive control methods are limited by the...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Andrea Pozzi, Alessandro Incremona, Daniele Toti
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Imitation learning neural networks stochastic control battery management systems
Online Access:	https://ieeexplore.ieee.org/document/10973123/