Next Article in Journal
Impact of Fuel Cell and Storage System Improvement on Fuel Consumption and Cost
Previous Article in Journal
Data Management for Geographically and Temporally Rich Plug-in Hybrid Vehicle “Big Data”
World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue 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.
Open AccessArticle

Evaluation of PHEVs Fuel Efficiency and Cost Using Monte Carlo Analysis

Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL, 6064, USA
*
Authors to whom correspondence should be addressed.
World Electr. Veh. J. 2009, 3(1), 196-208; https://doi.org/10.3390/wevj3010196
Published: 27 March 2009
PDF [2048 KB, uploaded 14 May 2018]

Abstract

Plug-in Hybrid Electric Vehicles (PHEVs) offer a great opportunity to significantly reduce petroleum consumption. The potential fuel displacement is influenced by several parameters, including powertrain configuration, component technology, drive cycle, distance… The objective of this paper is to evaluate the impact of component assumptions on fuel efficiency using Monte Carlo analysis. When providing simulation results, researchers agree that a single value cannot be used due to large amount of uncertainties. In previous papers, we have used triangular distribution, but assuming that all inputs were correlated lead to improper results. Monte Carlo allows users to properly evaluate uncertainties while taking dependencies into account. To do so, uncertainties are defined for several inputs, including efficiency, mass and cost. For each assumption, an uncertainty distribution will be defined to evaluate the fuel efficiency and cost of a particular vehicle with a determined probability.
Keywords: simulation; modeling; PHEV; Monte Carlo; cost simulation; modeling; PHEV; Monte Carlo; cost
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Faron, G.; Pagerit, S.; Rousseau, A. Evaluation of PHEVs Fuel Efficiency and Cost Using Monte Carlo Analysis. World Electr. Veh. J. 2009, 3, 196-208.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
World Electr. Veh. J. EISSN 2032-6653 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top