Learning adaptive control method and simultaneous reduction system on exhaust gas and particulate matter of diesel vehicle for retrofit

摘要

The present invention relates to a technology for purifying exhaust gas by installing a diesel engine and modifying a diesel vehicle in operation. Particularly, when the diesel engine is installed in addition to a diesel vehicle currently in operation, particulate matter (PM) is discharged from the diesel engine. Matters) and to provide a method for the exhaust gas purification of diesel fuel vehicles, which is particularly effective in simultaneously reducing nitrogen oxides (NOx), and a diesel engine modified exhaust gas purification system designed to be suitable for implementing the method.;According to the present invention, by adding a complex system composed of a catalytic particulate matter removal filter (DPF) and a cooled exhaust gas recirculation device (Cooled EGR) to the engine of the existing diesel engine running, By reducing particulate matter (PM) and nitrogen oxide simultaneously, the reduction target value can be achieved stably.;In addition, according to the present invention, it is possible to generate a control map for the reduction of nitrogen oxides by applying a self-learning adaptive control method and to realize the optimum control, thereby obtaining a control map as in the conventional method. Many required tests and the enormous cost can be saved, and the self-learning adaptation control prevents the emission reduction from falling even when the vehicle is aging.;Diesel, particulate matter (PM), diesel particulate removal filter (IDF), exhaust gas recirculation (EGR), learning adaptation control, retrofit, control map, learning control