The Hybrid Electric Vehicle Team of Virginia Tech (HEVT) is participating in the 2012 - 2014 EcoCAR 2: Plugging in to the Future Advanced Vehicle Technology Competition series organized by Argonne National Lab (ANL), and sponsored by General Motors Corporation (GM) and the U.S. Department of Energy (DOE) The goals of the competition are to reduce well-to-wheel (WTW) petroleum energy consumption, WTW greenhouse gas and criteria emissions while maintaining vehicle performance, consumer acceptability and safety. Following the EcoCAR 2 Vehicle Development Process (VDP), HEVT will design, build, and refine an advanced technology vehicle over the course of the three year competition using a 2013 Chevrolet Mahbu donated by GM as a base vehicle. The team considered 3 candidate powertram architectures and selected a series-parallel EREV with P2 and P4 motors While EcoCAR 1 is very similar to EcoCAR 2, one major difference is the evaluation method for emissions and energy consumption EcoCAR 1 used the CAFE method (55% UDDS, 45% HwFET), where EcoCAR 2 uses a 4-cycle method that includes the more aggressive US06 cycle which features higher vehicle speeds and accelerations For the described series-parallel EREV, the EV range was reduced by 24% between EcoCAR 1 CAFE and EcoCAR2 4-cycle methods. For this vehicle, the result is a difference of 14 miles in EV range. For a BEV designed for 200+ mile range, the range reduction would be more than 50 miles, necessitating an additional 10 kWh or more of battery energy. Thus, the new EcoCAR 2 4-cycle energy consumption evaluation method increases the powertram power and energy design requirements, but offers a more realistic representation of real world driver behavior.
Impact of US06 drive cycle on EcoCAR 2 plug-in hybrid electric vehicle architecture design and component sizing
EVS, Electric Vehicle Symposium, 26 ; 1416-1423
2012
8 Seiten, 3 Bilder, 7 Tabellen, 10 Quellen
Aufsatz (Konferenz)
Englisch
Energieverbrauch , Entwicklungsprozess , Beschleunigung , Architekturentwurf , Plug-in-Hybridfahrzeug , Elektrofahrzeug , Verbraucher , Parallel-Serien-Umsetzer , Fahrzyklus , Kapitalgesellschaft , Treibhausgas , Auswertung , Fahrerverhalten , Energiebedarf , Modellieren (Gestalten) , Hybridfahrzeug
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