Search Results

Calibrating the engine control unit to satisfy pollutant and performance objectives can be a challenging task. Due to the large number of variables and their interactive complexities, many firms apply design of experiment methods and modeling techniques to the acquired test data. This establishes a “black box” or “gray box” simulation model that predicts power and emissions as a function of the engine parameters. An offline optimization procedure on the fitted model(s) will identify the engine control strategy that best satisfies pollutant and performance objectives. A review of the literature reveals that the General Linear Modeling method and Neural Network modeling architectures are widely used in the development of “black box” or “gray box” simulation models. While Neural Network methods are “assumption free”, the General Linear Model method is limited to those problems in which the errors, ε, are normally distributed and have constant variance, σ2.

A data logging system was installed on two natural gas field demonstration vehicles. The systems were equipped with cellular telephones and modems. This enabled daily performance monitoring of the engines and vehicles from across the country. The impacts and implication of this remote access on such a demonstration project are discussed in detail in this paper.

The optical spark plug probe and ionization head gasket probe developed at Sandia Laboratories were applied to one cylinder of a production multicylinder automotive gasoline engine. The purpose of this application is to eventually study combustion phenomena leading to high emissions under cold start and cold idle conditions. As a first step in studying cold start combustion and emissions issues, diagnostic instrumentation was simultaneously applied to a production engine under steady state idle, road load and an intermediate load-speed condition. The preliminary application of such instrumentation is the subject of the present paper. The spark plug probe was redesigned for ease of use in production engines and to provide a more robust design. The two probes were geometrically oriented to obtain radial line-up between the optical windows and ionization probes. Data were taken simultaneously with both probes at the three load-speed conditions mentioned above.

A heavy-duty 320 kW diesel engine has been converted to natural gas operation. Conversion technology was selected to minimize costs while reaching NOx emissions goals of less than 3.2 g/kW-hr. Two engines are being converted using quiescent and high swirl combustion systems. The first engine with low swirl cylinder heads of the base diesel engine, and a combustion system developed for it was tested on a steady state cycle that has been shown to simulate the US heavy duty transient test cycle. It shows NOx emissions of 2.9 g/kW-hr and total HC emissions of 5.4 g/kW-hr. It is suspected that the HC emission is high because of high valve overlap. Experience with other similar engines suggests that non-methane HC emission is about 0.4-0.8 g/kW-hr. It is also expected that modified valve events and/or an oxidation catalyst can reduce HC emissions to much lower levels. The efficiency of the low swirl natural gas engine at this NOx level is 36 percent at rated condition.