Detection and Reduction of Harmful Ammonia Emissions from Lean-Burn Combustion Engines using Artificial Neural Networks

• Unité de recherche: INNOSUISSE
• Numéro de projet: 102.928 IP-ICT
• Titre du projet anglais: Detection and Reduction of Harmful Ammonia Emissions from Lean-Burn Combustion Engines using Artificial Neural Networks

Mots-clé (Anglais)

ICT, Neuronal networks

Résumé des résultats (Abstract) (Anglais)

A novel strategy using artificial neural networks to mitigate harmful emissions in aftertreatment systems of lean-burn combustion engines is realised. This supports emission compliance with upcoming ultra-low legislative limits while saving production costs by eliminating an expensive sensor.