Optimization of Performance and CO2 Emission of a Common Rail DI Diesel Operated Vehicle Using AVL Cruise 2010-01-1526
The global economy strives towards clean energy in the phase of
climate change and the automotive industry is researching in
improving the efficiency of automobiles. In respect to that, direct
injection types of diesel engines are becoming popular. However,
improving the performance and reducing the CO₂ emission of a
vehicle is necessary in order to meet the fuel economy targets.
A turbocharged common rail direct injection diesel engine is
selected for investigation purpose to study its performance and
average fuel consumption values over typical driving cycles (UDC,
EUDC and BS IV). Experimental work is carried out to collect the
vehicle performance and fuel economy test data.
The simulation tools are used to speed up the product
development process and to bring the new products into the market.
The AVL Cruise simulation technique allows us to speed up the
optimization of vehicle and powertrain parameters in an early stage
of the product development process. The simulation model is used
for parametric studies of the vehicle. Many design iterations are
performed in order to reduce the product development time.
One-dimensional simulation modeling is made and analyzed using
AVL Cruise for a manual front-wheel-drive vehicle. Detailed
comparisons with experimental results were analyzed. The result
shows that the fuel economy of a vehicle is a function of vehicle
mass, aerodynamic drag and engine efficiency. The same model was
further used to predict the performance and fuel economy for new
vehicle development program by optimizing the vehicle and
powertrain parameters through simulation.
Citation: Srinivasan, P., Umashankar, K., Kothalikar, U., and Deshpande, A., "Optimization of Performance and CO2 Emission of a Common Rail DI Diesel Operated Vehicle Using AVL Cruise," SAE Technical Paper 2010-01-1526, 2010, https://doi.org/10.4271/2010-01-1526. Download Citation
P. Srinivasan, K. S. Umashankar, U. M. Kothalikar, Anirudh Deshpande