Abstract: An intelligent modeling method of a Selective Catalytic Reduction (SCR) reaction process of diesel vehicle exhaust includes the following steps: S1: acquiring a time sequence data set of an SCR reaction process of diesel vehicle exhaust for modeling, where the time sequence data set includes an input variable sequence and an output variable sequence; S2: selecting a multi-layer type-II fuzzy neural network as an SCR reaction process model of diesel vehicle exhaust based on the input variable sequence and the output variable sequence obtained in Si. The intelligent modeling method of the SCR reaction process of diesel vehicle exhaust can effectively model dynamic characteristics of the SCR reaction process such as nonlinearity, time delay and uncertain interference, and improve the accuracy, robustness and generalization ability of the SCR reaction process model.