Energy Assessment of Different Powertrain Options for Heavy-Duty Vehicles and Energy Implications of Autonomous Driving
Sebastian Sigle () and
Robert Hahn
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Sebastian Sigle: German Aerospace Center (DLR), Institute of Vehicle Concepts, 70569 Stuttgart, Germany
Robert Hahn: German Aerospace Center (DLR), Institute of Vehicle Concepts, 70569 Stuttgart, Germany
Energies, 2023, vol. 16, issue 18, 1-20
Abstract:
Heavy-duty vehicles (HDVs) are responsible for a significant amount of CO 2 emissions in the transport sector. The share of these vehicles is still increasing in the European Union (EU); nevertheless, rigorous CO 2 emission reduction schemes will apply in the near future. Different measures to decrease CO 2 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, CO 2 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 driver’s 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 CO 2 emissions. Overall, it became clear that electrified powertrains could reduce the CO 2 emissions and the primary energy consumption of HDVs. Moreover, autonomous vehicles can save energy in most cases.
Keywords: powertrain options; efficiency; energy consumption; powertrain comparison; autonomous vehicles; heavy duty truck; daycycle; Dymola simulation; CO 2 reduction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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