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

• Forschungsstelle: INNOSUISSE
• Projektnummer: 102.928 IP-ICT
• Projekttitel Englisch: Detection and Reduction of Harmful Ammonia Emissions from Lean-Burn Combustion Engines using Artificial Neural Networks

Schlüsselwörter (Englisch)

ICT, Neuronal networks

Abstract (Englisch)

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.