Research of Neural Network Control on Ignition Spark Angle of Vehicle Electronic-Control Gasoline Engine

摘要

Correct ignition spark angle is important to enhance the dynamic performance and economy, reduce exhaust emission for electronic-control gasoline engine. Ignition Spark Angle is affected by many factors and characterized with dispersivity, nonlinear and uncertainty. Based on electronic-control engine pedestal experiments, this article tried to obtain the ignition spark angles by back propagation neural network method. The built neural network model composites multiple factors, was proved to be effectively and accurately to obtain the Ignition spark angles.