Automotive
Technical Paper

Artificial Neural Network-Based Performance and Emission Prediction for Hydrogen-Combustion Multicylinder Engines

2025-36-0237

12/18/2025

Features
Event
SAE Brasil 2025 Congress
Authors
Bruno Roberto Pasa Federal University of Santa Maria
Juliano Pereira Silveira Federal University of Santa Maria
Jean Lucca Souza Fagundez Federal University of Santa Maria
Thompson Diórdinis Metzka Lanzanova Federal University of Santa Maria
Mario Eduardo Santos Martins Federal University of Santa Maria
Nina Paula Gonçalves Salau Federal University of Santa Maria
Abstract
Content
22xx
Meta Tags
Topics
Internal combustion engines
Hydrogen engines
Greenhouse gas emissions
Air / fuel ratio
Ignition timing
Nitrogen oxides
Engines
Emissions
Affiliated or Co-Author
Federal University of Santa Maria
Details
Pages
10
Citation
Pasa, Bruno Roberto et al., "Artificial Neural Network-Based Performance and Emission Prediction for Hydrogen-Combustion Multicylinder Engines," SAE Technical Paper 2025-36-0237, 2025-, https://doi.org/10.4271/2025-36-0237.
Additional Details
Publisher
SAE International
Published
Dec 18, 2025
Product Code
2025-36-0237
Content Type
Technical Paper
Language
English