Influence of the Reward Function on the Selection of Reinforcement Learning Agents for Hybrid Electric Vehicles Real-Time Control

Influence of the Reward Function on the Selection of Reinforcement Learning Agents for Hybrid Electric Vehicles Real-Time Control

The real-time control optimization of electrified vehicles is one of the most demanding tasks to be faced in the innovation progress of low-emissions mobility. Intelligent energy management systems represent interesting solutions to solve complex control problems, such as the maximization of the fue...

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Bibliographic Details
Main Authors: Matteo Acquarone, Claudio Maino, Daniela Misul, Ezio Spessa, Antonio Mastropietro, Luca Sorrentino, Enrico Busto
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
artificial intelligence
fuel consumption
hybrid electric vehicles
real-time control
reinforcement learning
Online Access:https://www.mdpi.com/1996-1073/16/6/2749

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https://www.mdpi.com/1996-1073/16/6/2749

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