A methodology originally developed to predict vehicle emissions was applied to prediction of fuel consumption for 56 over-the-road heavy-duty trucks recruited in southern California. The method employed measurements exercised over chassis dynamometer cycles and the properties of those cycles. Nine driving cycle properties and their combinations were used to predict fuel consumption over an “unseen” cycle, based on measurements from up to four different baseline driving cycles. The results showed that the use of average velocity and average positive acceleration was suitable for the translation of fuel consumption between cycles, producing the lowest prediction error among the cases considered.
Heavy Duty Truck Fuel Consumption Prediction Based on Driving Cycle Properties
International Journal of Sustainable Transportation ; 6 , 6 ; 338-361
2012-11-01
24 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Heavy Duty Truck Fuel Consumption Prediction Based on Driving Cycle Properties
Online Contents | 2012
|Modeling heavy-duty|medium-duty fuel consumption based on drive cycle properties
Kraftfahrwesen | 2015
|Medium-and Heavy-Duty Truck Fuel Economy and Consumption Trends
SAE Technical Papers | 1981
|Medium- and Heavy-Duty Truck Fuel Economy and Consumption Trends
Kraftfahrwesen | 1981
|