liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Controller Design Enabling Automated and Fuel-Efficient Driving Strategies for Heavy Duty Vehicles in Urban Environments
Linköping University, Department of Electrical Engineering, Vehicular Systems.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The automative industry drives the development towards more autonomous vehicles, this because of both safety and energy conservation reasons. This thesis focuses on solutions to lower the fuel consumption for heavy duty vehicles, which is more and more requested. Both due to increasing fuel costs and to greater environmental awareness. Through extensive simulations with a vehicle model, developed at and provided by Scania CV AB, different driving strategies are evaluated and analysed. This determined how to achieve a low fuel consumption when driving heavy vehicle in an urban environment. The simulations shows that the fuel consumption can be lowered by coasting the vehicle when deceleration and thus minimize the use of the brakes. One should also when possible, select a higher gear to lower the fuel consumption due to engine friction. These strategies are used to develop a controller which lowers the fuel consumption without increasing the trip time for the vehicle. The controller is able to alter the velocity of the vehicle within a reference window which results in both a lower fuel consumption and a shorter trip time for the driving cycle used.

Place, publisher, year, edition, pages
2015. , 73 p.
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-123304ISRN: LiTH-ISY-EX--15/4861--SEOAI: diva2:881265
Subject / course
Vehicular Systems
Available from: 2015-12-15 Created: 2015-12-10 Last updated: 2015-12-15Bibliographically approved

Open Access in DiVA

15_EX_4861_EE(11115 kB)43 downloads
File information
File name FULLTEXT01.pdfFile size 11115 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Vehicular Systems
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 43 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 149 hits
ReferencesLink to record
Permanent link

Direct link