Title
Effects of using Synthesized Driving Cycles on Vehicle Fuel Consumption
Author
Hereijgers, K.
Silvas, E.
Hofman, T.
Steinbuch, M.
Publication year
2017
Abstract
Creating a driving cycle (DC) for the design and validation of new vehicles is an important step that will influence the efficiency, 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 profile and more accurate fuel consumption and CO2 emission estimates. The effects of using synthesized DCs on fuel consumption are investigated considering three different 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 simplified DCs, as the New European Driving Cycle(NEDC), or long, measured DCs.
Subject
2015 Fluid & Solid Mechanics
IVS - Integrated Vehicle Safety
TS - Technical Sciences
Emission Traffic
Industrial Innovation
Driving cycle
Efficiency
Markov Chain
Monte Carlo
Powertrain Design
To reference this document use:
http://resolver.tudelft.nl/uuid:10c6c230-62fc-4114-afbd-4cd6b804c4ed
DOI
https://doi.org/10.1016/j.ifacol.2017.08.1183
TNO identifier
781891
ISSN
2405-8963
Source
IFAC-PapersOnLine, 50 (1), 7505-7510
Document type
article