Improving the Calibration Process of Internal Combustion Engines by Using an Innovative Multidimensional Optimization Algorithm

This paper presents an innovative method for the calibration of internal combustion engines. While common calibration strategies and optimizations are usually based on stationary operation points, this new method uses quasi-stationary engine experiments. On the one hand, the time necessary for establishing a steady state of the engine can thus be omitted. Consequently, the duration of calibration runs can be reduced. On the other hand, an enhanced approach generates validated data from the transient or quasi-stationary test runs in order to complete the various engine maps. First validations of the method using a numeric engine model were carried out. Compared to a conventional steady state calibration and depending on the optimization parameter, the duration could be decreased by up to 74% from 350 hours to approximately 91 hours with constant quality of the measurement data.