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Energy Assessment of Different Powertrain Options for Heavy-Duty Vehicles and Energy Implications of Autonomous Driving

Sigle, Sebastian and Hahn, Robert (2023) Energy Assessment of Different Powertrain Options for Heavy-Duty Vehicles and Energy Implications of Autonomous Driving. Energies. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/en16186512. ISSN 1996-1073.

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Official URL: https://www.mdpi.com/2473160

Abstract

Heavy-duty vehicles (HDVs) are responsible for a significant amount of CO2 emissions in the transport sector. The share of these vehicles is still increasing in the European Union (EU); nevertheless, rigorous CO2 emission reduction schemes will apply in the near future. Different measures to decrease CO2 emissions are being already discussed, e.g., the electrification of the powertrain. Additionally, the impact of autonomous driving on energy consumption is being investigated. The most common types are fuel cell vehicles (FCEVs) and battery-only vehicles (BEVs). It is still unclear which type of powertrain will prevail in the future. Therefore, we developed a method to compare different powertrain options based on different scenarios in terms of primary energy consumption, CO2 emissions, and fuel costs. We compared the results with the internal combustion engine vehicle (ICEV). The model includes a model for the climatization of the drivers cabin, which we used to investigate the impact of autonomous driving on energy consumption. It became clear that certain powertrains offer advantages for certain applications and that sensitivities exist with regard to primary energy and CO2 emissions. Overall, it became clear that electrified powertrains could reduce the CO2 emissions and the primary energy consumption of HDVs. Moreover, autonomous vehicles can save energy in most cases.

Item URL in elib:https://elib.dlr.de/197429/
Document Type:Article
Title:Energy Assessment of Different Powertrain Options for Heavy-Duty Vehicles and Energy Implications of Autonomous Driving
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sigle, SebastianUNSPECIFIEDhttps://orcid.org/0000-0003-1533-2043UNSPECIFIED
Hahn, RobertUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:9 September 2023
Journal or Publication Title:Energies
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.3390/en16186512
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue "Renewable Energies, Electrified Mobility, and Sustainable Infrastructures and Processes: Recent Research and Development"
ISSN:1996-1073
Status:Published
Keywords:powertrain options; efficiency; energy consumption; powertrain comparison; autonomous vehicles; heavy duty truck; daycycle; Dymola simulation; CO2 reduction
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - FFAE - Fahrzeugkonzepte, Fahrzeugstruktur, Antriebsstrang und Energiemanagement, V - VMo4Orte - Vernetzte Mobilität für lebenswerte Orte, V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC
Location: Stuttgart
Institutes and Institutions:Institute of Vehicle Concepts > Vehicle Energy Concepts
Institute of Vehicle Concepts > Fahrzeugsysteme und Technologiebewertung
Deposited By: Sigle, Sebastian
Deposited On:03 Nov 2023 12:24
Last Modified:03 Nov 2023 12:24

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