Over the past couple of years, several advanced powertrain technologies, including electric vehicles (EV), hybrid electric vehicles (HEV), hybrid hydraulic vehicles (HHV) and alternative fueled vehicles have been implemented in medium and heavy duty applications. However, due to the limitation of component availability, the existing small market for these vehicles and the variety of applications, significant research remains necessary to properly size the components to maximize fuel displacement while minimizing costs. In this study, several advanced powertrain configurations were selected and implemented on a transit bus application and were then modeled in Autonomie, Argonne vehicle modeling and simulation tool. This paper describes a generic sizing algorithm process and evaluate the impact of advanced technologies on fuel efficiency for real world drive cycles. Several vehicle sizing algorithms were developed to automatically size different powertrain configurations for medium and heavy duty applications. While the philosophies remain similar as the light duty algorithms, specific implementation have been performed, including: (1) Ability to select any drive cycle, (2) Ability to size the electric machine and the energy storage system to capture only a percentage of the regenerative braking or to perform a portion of the cycle in EV mode, (3) Ability to consider multiple performance and grade requirements Three powertrain technologies (conventional series HEV and power split HEV) have been simulated for transit buses on other 30 real world drive cycles. The behavior is representative to driving one of these cycles and could be generalized to be representative of transit buses real journeys. The split 2-mode revealed to be the more efficient from a fuel-economy point of view. Both the hybrid proved to have a significant fuel economy over conventional propulsion.
Medium and heavy duty hybrid electric vehicle sizing to maximize fuel consumption displacement on real world drive cycle
EVS, Electric Vehicle Symposium, 26 ; 1965-1973
2012
9 Seiten, 21 Bilder, 7 Tabellen, 1 Quelle
Conference paper
English
Fahrzyklus , Antriebsstrang , automatisches Getriebe , Kostenminimierung , Kraftstoffverbrauch , Brennstoffzellenfahrzeug , Elektromaschine , Hybridfahrzeug , Elektrofahrzeug , Prozentsatz , Energiespeicher , Rekuperationsbremsung , Propulsion , Leistung , Reisebus , Kostensenkung , Simulation , Algorithmus , Regelungsentwurf , Nutzfahrzeug
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