Next Article in Journal
Model-Based System Design for MIL, SIL, and HIL
Previous Article in Journal
Power for traction characterized by normal distributions
 
 
World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Previous articles were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Energy Consumption Prediction of a Vehicle along a User-Specified Real-World Trip

by
Dominik Karbowski
1,*,
Sylvain Pagerit
1 and
Andrew Calkins
2
1
Argonne National Laboratory
2
NAVTEQ North America
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2012, 5(4), 1109-1120; https://doi.org/10.3390/wevj5041109
Published: 28 December 2012

Abstract

Standard cycles provide an easy way to evaluate the energy consumption of vehicles, but it is the energy consumption that occurs on real-world trips that really matters to the driver and, to a larger extent, society. This study shows how digital maps and vehicle simulation tools can be used to estimate energy consumption on a real-world trip. The user (1) selects a trip in the mapping service ADAS-RP (Advanced Driver Assistance Systems Research Platform), (2) defines a vehicle model in the vehicle powertrain simulation tool Autonomie, and (3) runs and analyzes the simulation in that same tool. For each section of the trip, ADAS-RP provides various information that can include speed limits, historic data on traffic pattern speeds, the slopes of the routes, and the positions of stop signs and traffic lights. The first stage of processing this information is to schedule the stops and to create an intermediate speed target that takes those stops into account. The final driver demand speed includes transitions – accelerations and decelerations – between sections with different intermediate speed targets, or around stops. The ADAS-RP/Autonomie process is then used to compute the energy consumption of a hybrid electric vehicle and a conventional vehicle on 10 trips defined across the United States and Germany. The hybrid vehicle is more fuel efficient, especially on congested routes and routes with downhill slopes, the effect of which is analyzed in further detail.
Keywords: vehicle simulation; trip prediction; geographic information system (GIS) vehicle simulation; trip prediction; geographic information system (GIS)

Share and Cite

MDPI and ACS Style

Karbowski, D.; Pagerit, S.; Calkins, A. Energy Consumption Prediction of a Vehicle along a User-Specified Real-World Trip. World Electr. Veh. J. 2012, 5, 1109-1120. https://doi.org/10.3390/wevj5041109

AMA Style

Karbowski D, Pagerit S, Calkins A. Energy Consumption Prediction of a Vehicle along a User-Specified Real-World Trip. World Electric Vehicle Journal. 2012; 5(4):1109-1120. https://doi.org/10.3390/wevj5041109

Chicago/Turabian Style

Karbowski, Dominik, Sylvain Pagerit, and Andrew Calkins. 2012. "Energy Consumption Prediction of a Vehicle along a User-Specified Real-World Trip" World Electric Vehicle Journal 5, no. 4: 1109-1120. https://doi.org/10.3390/wevj5041109

Article Metrics

Back to TopTop