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

Research unit

INNOSUISSE

Project number

102.928 IP-ICT

Project title

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

Texts for this project

	German	French	Italian	English
Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	ICT, Neuronal networks
Abstract (English)	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.