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Segmented road grade estimation for fuel efficient heavy duty vehicles
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2010 (English)Conference paper (Refereed)
Abstract [en]

Long haulage road transport consumes considerable amounts of energy in today's world. Predictive control strategies based on digital maps can significantly lower the portion being wasted in traditional cruise control operated highway driving. Such control strategies rely on high quality stored road grade information. This paper describes a newly developed method to estimate the road grade using sensors commonly found on standard heavy duty vehicles. The method utilizes a piecewise linear road model derived from highway design methodologies. The estimation method has been implemented and evaluated experimentally, and is shown to give better results compared to an existing method.

Place, publisher, year, edition, pages
IEEE , 2010. 1045-1050 p.
Keyword [en]
Estimation, Global Positioning System, Predictive models, Roads, Sensors, Vehicles
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-79944DOI: 10.1109/CDC.2010.5717298ISI: 000295049101048ScopusID: 2-s2.0-79953128370ISBN: 978-1-4244-7746-3OAI: diva2:495853
© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20120213Available from: 2012-02-13 Created: 2012-02-09 Last updated: 2012-02-13Bibliographically approved

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Sahlholm, PerJohansson, Karl Henrik
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