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Journal Article

Cycle-Average Heavy-Duty Engine Test Procedure for Full Vehicle Certification - Numerical Algorithms for Interpreting Cycle-Average Fuel Maps

2016-09-27
2016-01-8018
In June of 2015, the Environmental Protection Agency and the National Highway Traffic Safety Administration issued a Notice of Proposed Rulemaking to further reduce greenhouse gas emissions and improve the fuel efficiency of medium- and heavy-duty vehicles. The agencies proposed that vehicle manufacturers would certify vehicles to the standards by using the agencies’ Greenhouse Gas Emission Model (GEM). The agencies also proposed a steady-state engine test procedure for generating GEM inputs to represent the vehicle’s engine performance. In the proposal the agencies also requested comment on an alternative engine test procedure, the details of which were published in two separate 2015 SAE Technical Papers [1, 2]. As an alternative to the proposed steady-state engine test procedure, these papers presented a cycle-average test procedure.
Technical Paper

An Integrated Engine Cycle Simulation Model with Species Tracking in Piping System

1996-02-01
960077
Due to compressibility, reactivity, evaporation and mixing, the gas species concentration varies significantly along the intake and exhaust pipes of an engine. An understanding of this behavior is vital to correctly predict catalyst performance because the behavior of a catalyst very much depends on the instantaneous local species concentrations, rather than those in the cylinder. Also, knowing this behavior is more important to assess the effects of exhaust gas recirculation (EGR). The objective of this research is to develop a tool that is capable of predicting the instantaneous species concentration throughout the entire intake and exhaust system, and to lay out a foundation to model catalysts in the near future. This is done by first developing a complete engine cycle simulation model that is able to accurately predict wave dynamics in the piping system. Then, species tracking is accomplished by solving the species conservation equations.
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