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Validation of Sizing Algorithm for Several Vehicle Powertrains
FISITA2016/F2016-VDCA-036

Authors

Kim, Namdoo; Moawad, Ayman; Vijayagopal, Ram; Rousseau, Aymeric - Argonne National Laboratory, 9700 S. Cass Avenue, Argonne, IL, 60439-4815, USA

Abstract

KEYWORDS – Hybrid electric vehicle (HEV), Plug-in hybrid electric vehicle (PHEV), Battery electric vehicle (BEV), Sizing algorithm, Autonomie

ABSTRACT –

The U.S. Department of Energy Vehicle Technologies Office (VTO) is developing more energy-efficient and environmentally friendly highway transportation technologies that will enable America to use less petroleum. The VTP has a program that studies the potential benefits of advanced technologies and attempts to clarify and refine the requirements for vehicle components. Working with VTO, Argonne National Laboratory researchers have developed automated sizing processes to define the requirements of each component system for several powertrain applications. This paper describes the sizing algorithms for different powertrains. Because of the impact of the component max-torque shapes, maintaining a constant power-to-weight ratio among several powertrains leads to an inconsistent comparison between technologies. Therefore, each powertrain has a unique algorithm to meet specific vehicle technical specifications. This paper also validates the sizing algorithm using assumptions from current production vehicles. Vehicle sizing results for several vehicles are compared with the corresponding values for vehicles in the market today.

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