You are here: Home :: Area NEM :: Engineering :: Machine construction

Ulrich Eckhardt, Michael Palocz-Andresen, Peer D. Oetjen, Tobias Weber

Determination of On-Road Vehicle Emission Characteristics Using Artificial Neural Networks

On-board emission measurement in vehicles will be of increasing importance in the future. For example this technology can be used on heavy commercial vehicles for an ecologically oriented charging of toll fares. In on-board emission measurement, determination of pollutants as NO, CO, HC (referred to C₃H₈) and the greenhouse gas CO₂ is required. However, some of these parameters are difficult or impossible to measure directly and have to be determined by mathematical modelling. In this paper we report the determination of these parameters using artificial neural networks based on the motor and driving parameters. The method can be developed further for compliance with the emission standards.

tm – Technisches Messen, Oldenbourg Wissenschaftsverlag

Print ISSN: 0171-8096
Volume: 72, 09/2005
Pages: 524 - 530

Journal homepage (external site)

Show all available items of this journal

 

Area NEM