Neural network based transient fuel control method

Data processing: vehicles – navigation – and relative location – Vehicle control – guidance – operation – or indication – With indicator or control of power plant

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701106, 12340647, 123675, F02D 4126

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active

060980125

ABSTRACT:
A system and method for use in a motor vehicles is disclosed for calculating a fuel multiplier during transient engine operation. The fuel multiplier modifies the amount of fuel released from a fuel actuator into an engine. The fuel control system uses neural network logic to establish the fuel multiplier. The neural network logic involves taking inputs from engine sensors, processing the inputs through an input layer, a hidden layer and an output layer resulting in a fuel multiplier.

REFERENCES:
patent: 5410477 (1995-04-01), Ishii et al.
patent: 5479571 (1995-12-01), Parlos et al.
patent: 5542403 (1996-08-01), Borland et al.
patent: 5584277 (1996-12-01), Chen et al.
patent: 5781700 (1998-07-01), Puskorius et al.
Joseph R. Asik, Jennifer M. Peters, Garth M. Meyer, and Donald X. Tang, Ford Motor Co.;Transient A/F Estimation and Control Using a Neural Network; International Congress & Exposition, Detroit, Michigan, Feb. 24-27, 1997, SAE Technical Paper Series 9070619.

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