STEPS TOWARDS AN OPTIMIZATION OF THE DYNAMIC EMISSION BEHAVIOR OF IC ENGINES: Measurement Strategies - Modeling - Model Based Optimization

New technologies have been applied to IC engines in order to fulfill rising demands concerning consumption, drivability and emissions. These additional technologies result in a high amount of process inputs that are controlled by the Electronic Control Unit (ECU). Thus, the task of finding optimum settings for all variables becomes more and more complex. In this contribution, model-based approaches are presented which help finding optimal engine control setting maps. The optimization itself bases on fast neural networks. The quality of these nets decisively depends on good measurement data. Therefore, a new advanced measurement strategy will be presented which was designed to dynamically cover the whole area of interest where the engine is run.

Despite an optimum stationary engine performance unfavorable combustion conditions are likely to occur during transient conditions leading to dynamic emission peaks. To compensate for that, predictive control functions are proposed and their parameters are determined by model-based optimization routines.