Machine Learning for Internal Combustion Engine Optimization with Hydrogen-Blended Fuels: A Literature Review

Machine Learning for Internal Combustion Engine Optimization with Hydrogen-Blended Fuels: A Literature Review

This study explores the potential of hydrogen-enriched internal combustion engines (H2ICEs) as a sustainable alternative to fossil fuels. Hydrogen offers advantages such as high combustion efficiency and zero carbon emissions, yet challenges related to NO<sub>x</sub> formation, storage,...

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Bibliographic Details
Main Authors: Mateusz Zbikowski, Andrzej Teodorczyk
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Energies
Subjects:
hydrogen
internal combustion engine
machine learning
Online Access:https://www.mdpi.com/1996-1073/18/6/1391
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