Air Fuel Ratio Identification of Gasoline Engine during Transient Conditions Based on Elman Neural Networks

Air fuel ratio is a key index affecting power performance and fuel economy and exhaust emissions of the gasoline engine, whose accurate model is the foundation of accuracy air fuel ratio control. Taking HL495 engine as experimental device, a method of indenting air fuel ratio based on Elman neural network was provided in this paper. Experiment results show the air fuel ratio model based on Elman neural network has simple structure and can accurately approximate the air fuel ratio transient process and average relative error is less than 1 %. The air fuel ratio based on Elman neural network is better than the air fuel ratio model based on BP neural network