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Representing GHG Reduction Technologies in the Future Fleet with Full Vehicle Simulation
ISSN: 1946-3952, e-ISSN: 1946-3960
Published April 03, 2018 by SAE International in United States
Citation: Moskalik, A., Bolon, K., Newman, K., and Cherry, J., "Representing GHG Reduction Technologies in the Future Fleet with Full Vehicle Simulation," SAE Int. J. Fuels Lubr. 11(4):469-482, 2018, https://doi.org/10.4271/2018-01-1273.
As part of an ongoing assessment of the potential for reducing greenhouse gas (GHG) emissions of light-duty vehicles, the U.S. Environmental Protection Agency (EPA) has implemented an updated methodology for applying the results of full vehicle simulations to the range of vehicles across the entire fleet. The key elements of the updated methodology explored for this article, responsive to stakeholder input on the EPA’s fleet compliance modeling, include (1) greater transparency in the process used to determine technology effectiveness and (2) a more direct incorporation of full vehicle simulation results.
This article begins with a summary of the methodology for representing existing technology implementations in the baseline fleet using EPA’s Advanced Light-duty Powertrain and Hybrid Analysis (ALPHA) full vehicle simulation. To characterize future technologies, a full factorial ALPHA simulation of every conventional technology combination to be considered was conducted. The vehicle simulation results were used to automatically generate response surface equations (RSEs), enabling the use of a quick and easily implemented set of specific equations to estimate fleet-wide emissions in place of running time-consuming full vehicle simulations for each potential technology package applied to each model in the fleet. Since the regressions were not extended to represent technology combinations that were not actually simulated, the emissions estimates produced from the RSEs match the ALPHA simulation results with a high degree of conformity.
For each vehicle in the fleet, the reduction in emissions for a future technology package can be estimated using RSEs associated with the initial and final technology packages, and considering the particular vehicle’s weight, road load (RL), and power. As part of the effectiveness assessment based on weight, RL, and power, this article will also examine the effect of performance changes in the vehicles.
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