Independent thesis Advanced level (professional degree), 20 credits / 30 HE credits
With an unstable oil market and increasing prices, the focus has never been
higher on reducing the fuel consumption costs. Using a navigation system that
presents the fastest route, can today help a driver to reduce the fuel consumption
by reducing the risk of not finding the target. A further development of
such system is eco-routing: route optimization with regard to fuel consumption.
Eco-routing is today being introduced to the market by several passenger
An essential part of an eco-routing system is estimation of fuel consumption.
The requirements of a fuel consumption model for trucks is studied in
this thesis. Two estimation methods were evaluated and compared, one of
the methods was estimating fuel consumption using look up tables consisting
fuel consumption data. The other method was estimation doing real time calculations
with a fuel consumption model. With a simplified real time model
the modelling error was approximately lower than 5% for rural and highway
driving, however for city driving the accuracy was significantly reduced. Ecorouting
simulations for a truck showed a mean saving of 8.5% for a set of long
2012. , 92 p.