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Abstract |
Heavy Truck Modeling for Fuel Consumption: Simulations and Measurements
Fuel consumption for heavy trucks depends on many factors like
roads, weather, and driver behavior that are hard for a
manufacturer to influence. However, one design possibility is the
powertrain configuration. Here a new simulation program for heavy
trucks is created to find the configuration of the powertrain that
gives the lowest fuel consumption for each transport task. For efficient simulations the model uses production code for speed
and gear control, and it uses exchangeable data sets to allow
simulation of the whole production range of engine types, on
recorded road profiles from all over the world.
Combined with a graphical user interface this application is
called STARS (Scania Truck And Road Simulation). The forces of rolling resistance and air resistance in the model
are validated through an experiment where the propeller shaft
torque of a heavy truck is measured.
It is found that the coefficient of rolling resistance is strongly
dependent on tire temperature, not only on vehicle speed as
expected. This led to the development of a new model for rolling
resistance. The model includes the dynamic behavior of the tires
and relates rolling resistance to tire temperature and vehicle
speed. In another experiment the fuel consumption of a test truck in
highway driving is measured. The altitude of the road is recorded
with a barometer and used in the corresponding simulations.
Despite of the limited accuracy of this equipment the simulation
program manage to predict a level of fuel consumption only 2 %
lower than the real measurements. It is concluded that STARS is a good tool for predicting fuel
consumption for trucks in highway driving and for comparing
different powertrain configurations.
Tony Sandberg
2001
Informationsansvarig: webmaster
Senast uppdaterad: 2021-11-10
