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	Engine control system schematic.
	Fuel property classifier.

Fuel property-adaptive combustion control and fuel property-adaptive exhaust-treatment system management were studied by engineers at Southwest Research Institute (SwRI).

Approach

The on-board fuel property classification approach aimed at classifying the properties of the engine fuel by using the engine input-output response characteristics that might be possibly measured from the standard engine sensors at certain operating conditions. The engine operating conditions, the control inputs to the engine, and the corresponding engine outputs and responses measured from the standard engine and vehicle sensors were fed into a neural network-based fuel property classifier.

The classified fuel property information was then provided to the engine control system to select the optimal parameters/maps

/strategies for:

• Engine models

• In-cylinder combustion

• After-treatment system management and fault diagnostics

The fuel property classifier employed the signals measured from the engine standard sensors. No dedicated sensor was required for the classifier.

For more information about our powertrain control capabilities, or how you can contract with SwRI, please contact Jayant Sarlashkar at jsarlashkar@swri.org or (210) 522-5506.

powertraincontroltech.swri.org

| Engine and Vehicle R&D Department | Engine, Emissions & Vehicle Research Division | SwRI Home |

Southwest Research Institute^® (SwRI^®), headquartered in San Antonio, Texas, is a multidisciplinary, independent, nonprofit, applied engineering and physical sciences research and development organization with 11 technical divisions.

December 28, 2012