Effects of using synthesized driving cycles on vehicle fuel consumption

J.A.J. Hereijgers, E. Silvas, T. Hofman, M. Steinbuch

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademicpeer review


Creating a driving cycle (DC) for the design and validation of new vehicles is an
important step that will influence the eciency, functionality and performance of the final systems. In this work, a DC synthesis method is introduced, based on multi-dimensional Markov Chain, where both the velocity and road slope are investigated. Particularly, improvements on the DC synthesis method are proposed, to reach a more realistic slope prole and more accurate fuel consumption and CO2 emission estimates. The eects of using synthesized DCs on fuel consumption are investigated considering three dierent vehicle models: conventional ICE, and full hybrid and mild hybrid electric vehicles. Results show that short but representative synthetic DCs will results in more realistic fuel consumption estimates (e.g. in the 5%-10% range) and in much faster simulations. Using the results of this proposed method also eliminates the need to use very simplied DCs, as the New European Driving Cycle(NEDC), or long, measured DCs.
Originele taal-2Engels
Pagina's (van-tot)7766-7771
Aantal pagina's6
Nummer van het tijdschrift1
StatusGepubliceerd - 1 jan 2017
Evenement20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, Frankrijk
Duur: 9 jul 201714 jul 2017
Congresnummer: 20

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