Fast measurement by integrating model-based methods and advanced test-cell automation

Modern calibration engine control unit requires a huge number of measurements to fill their maps. Steady state measurements at the engine test bed are still very important to find the optimal settings of all control parameters for an engine operating point. Model-based methods - like design of experiments - are more and more used to reduce the needed numbers of experiments for an engine calibration. Nevertheless, since the number of controllable engine parameters arises, new methods for accelerating each measurement are needed. This paper presents methods to shorten the measurement time by using transitions between measurement points and avoidance of stabilization