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Estimation of Fuel Consumption for Real Time Implementation
KTH, School of Electrical Engineering (EES), Automatic Control.
2012 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

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

car manufacturers.

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

haulage routes.

Place, publisher, year, edition, pages
2012. , 92 p.
EES Examensarbete / Master Thesis, XR-EE-RT 2012:008
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-98871OAI: diva2:539678
Educational program
Master of Science in Engineering - Design and Product Realisation
Available from: 2012-07-06 Created: 2012-07-04 Last updated: 2012-07-06Bibliographically approved

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