Application of the Chaos-RBF Neural Network on Oil Film Parameters Identification to Gasoline Engines under Transient Conditions

As it was difficult to determine the transient operating conditions of oil film parameter accurately, this article put forward an oil film parameter distinguish method in the gasoline engine transient conditions based on Chaos-RBF. The recognition ability with least square method was compared and analyzed, the Chaos-RBF neural network verified model has better ability of nonlinear identification which could effectively improve the oil film dynamic parameter identification precision and oil film dynamic characteristics under different working conditions was obtained.