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Automotive Electrification Challenges Shown by Real-World Driving Data and Lifecycle Assessment

handle: 20.500.14342/4441
Electric mobility is considered a solution to reduce carbon emissions. We expanded a lifecycle assessment with data on technical limitations and driving habits (based on real-world data) in order to identify the environmentally optimal drivetrain for each individual driving behavior with current and projected technologies, focusing on CO2 emissions. By combining all data, an environmentally optimal European drivetrain mix is calculated, which is dominated by fuel-cell electric vehicles (50% in 2020, 47% in 2030), followed by plug-in hybrid-electric vehicles (37%, 40%), battery-electric vehicles (BEV) (5%, 12%), and Diesel vehicles (2%, 1%). Driving behavior defines the most environmental drivetrain and the coexistence of different drivetrains is currently still necessary. Such information is crucial to identify limitations and unmet technological needs for full electrification. If range is not considered a limitation, the environmentally optimal drivetrain mix is dominated by BEVs (71%, 75%), followed by fuel cell electric vehicles (25%, 19%) and plug-in electric vehicles (4%, 6%). This confirms the potential environmental benefits of BEVs for current and future transportation. Developments in battery energy density, charging, and sustainable production, as well as a change in driving behavior, will be crucial to make BEVs the environmentally optimal drivetrain choice.
- Technische Universität Braunschweig Germany
- Ramon Llull University Spain
- Ramon Llull University Spain
- MERCEDES-BENZ AG Germany
- MERCEDES-BENZ AG Germany
automotive fleet analysis, Electric vehicles, TJ807-830, TD194-195, environmental impact, Renewable energy sources, Life cycle assessment, life cycle assessment, GE1-350, Medi ambient--Anàlisi d'impacte, Sustainable transport, Electrification forecast, sustainable transport, Environmental effects of industries and plants, Electrificació, Sustainable urban development, electric vehicle, Environmental sciences, 629, electric vehicle; life cycle assessment; environmental impact; sustainable transport; electrification forecast; automotive fleet analysis, electrification forecast, Environmental impact analysis, Vehicles elèctrics, 504, Automotive fleet analysis, Desenvolupament urbà sostenible
automotive fleet analysis, Electric vehicles, TJ807-830, TD194-195, environmental impact, Renewable energy sources, Life cycle assessment, life cycle assessment, GE1-350, Medi ambient--Anàlisi d'impacte, Sustainable transport, Electrification forecast, sustainable transport, Environmental effects of industries and plants, Electrificació, Sustainable urban development, electric vehicle, Environmental sciences, 629, electric vehicle; life cycle assessment; environmental impact; sustainable transport; electrification forecast; automotive fleet analysis, electrification forecast, Environmental impact analysis, Vehicles elèctrics, 504, Automotive fleet analysis, Desenvolupament urbà sostenible
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
