A Computer Tool for Modelling CO2 Emissions in Driving Tests for Vehicles with Diesel Engines

The dynamic development of transport in recent decades reflects the level economic world. sector today is one main barriers to achievement European Union’s climate protection objectives. More and more restrictive legal regulations define permissible emission limits for amounts toxic substances emitted into atmosphere. Numerical CO2 modeling tools are way replace costly on-road testing. Driving cycles, which an approximation vehicle’s operating conditions, basis any vehicle approval procedure. paper presents a computer tool that uses neural networks simulate driving tests. Data obtained from tests on Mercedes E350 chassis dynamometer were used construction model. All collected operational parameters vehicle, input data built model, create simulation control runs tests: Environmental Protection Agency, Supplemental Federal Test Procedure, Highway Fuel Economy Schedule, New Cycle, Random Cycle Low, High, Mobile Air Conditioning Common Artemis Cycles, Worldwide Harmonized Light-Duty Vehicle Procedure. Using developed tool, impact emissions was analyzed context four types fuels: Diesel, Fatty Acid Methyl Esters, rapeseed oil, butanol (butyl alcohol). As result processing this same mass consumption fuels given vehicle.