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
Published in:	Energies (Basel) Vol. 16; no. 6; p. 2749
Main Authors:	Acquarone, Matteo, Maino, Claudio, Misul, Daniela, Spessa, Ezio, Mastropietro, Antonio, Sorrentino, Luca, Busto, Enrico
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-03-2023
Subjects:	artificial intelligence Control systems Electric charge Electric vehicles Emissions Energy consumption Energy management Energy management systems Energy use Fuel consumption Fuel economy hybrid electric vehicles Hybrid vehicles Learning Mathematical optimization Methods Missions Optimization Powertrain Real time real-time control Reinforcement reinforcement learning Reinforcement learning (Machine learning) State of charge Italy
Online Access:	Get full text
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