Estimating the CO <sub>2</sub> Emissions Reduction Potential of Various Technologies in European Trucks Using VECTO Simulator

2017-24-0018

09/04/2017

Features
Event
13th International Conference on Engines & Vehicles
Authors Abstract
Content
Heavy-duty vehicles (HDVs) account for some 5% of the EU’s total greenhouse gas emissions. They present a variety of possible configurations that are deployed depending on the intended use. This variety makes the quantification of their CO2 emissions and fuel consumption difficult. For this reason, the European Commission has adopted a simulation-based approach for the certification of CO2 emissions and fuel consumption of HDVs in Europe; the VECTO simulation software has been developed as the official tool for the purpose. The current study investigates the impact of various technologies on the CO2 emissions of European trucks through vehicle simulations performed in VECTO. The chosen vehicles represent average 2015 vehicles and comprised of two rigid trucks (Class 2 and 4) and a tractor-trailer (Class 5), which were simulated under their reference configurations and official driving cycles. The effects of aerodynamics, auxiliary systems, curb-weight, tyre rolling resistance, engine internal losses, and engine and gearbox efficiency were investigated. Factors exhibited a varying reduction potential that depended on the vehicle category and the driving cycle. Results indicate where focus should be given for improving the energy performance of trucks in view of the Commission’s future efforts to propose CO2 reduction targets for HDVs.
Meta TagsDetails
DOI
https://doi.org/10.4271/2017-24-0018
Pages
19
Citation
Zacharof, N., Fontaras, G., Grigoratos, T., Ciuffo, B. et al., "Estimating the CO 2 Emissions Reduction Potential of Various Technologies in European Trucks Using VECTO Simulator," SAE Technical Paper 2017-24-0018, 2017, https://doi.org/10.4271/2017-24-0018.
Additional Details
Publisher
Published
Sep 4, 2017
Product Code
2017-24-0018
Content Type
Technical Paper
Language
English