The internal mixture formation by gasoline direct injection offers a remarkable potential to improve the engine performances and to reduce the pollutant emission, due to the large possibilities of process control. On the other hand, the control mechanisms their selves are more complex and sensitive at speed or load variations than the ones used for external mixture formation. The spray characteristics, as well as the shape of injection rate have to be accurately adapted to every condition of load, speed and surrounding.
This paper presents a method for the effective optimization of GDI techniques for SI engines, which is exemplified by a system with direct injection by high pressure modulation. The method is based on the interactive optimization of the processes within the injection system respectively during the spray evolution, by a feed-back strategy between separate numerical simulations of both processes.
The characterization and optimization of the injection system respectively of the injection characteristics is performed using the 1D code AMESim. The analysis of the spray evolution is conducted by mean of the 3D code FIRE. For the data exchange between the two codes a new element integrated in the code AMESim was developed.
For both modules the calibration is ensured by appropriate hydraulically and optically experimental analysis methods.