ABSTRACT
Tuning or calibration of vehicle components is essentially determining the optimum attributes, which fulfill the legislative standards as well as refine the car’s character to meet all the expectations of the driver for drivability and comfort. In the past decades, the improving technology in the automotive sector can be seen with cars having better engine performance, less consumption, better handling and reduced emissions. Model-based tuning is a statistical, model-based approach which reduces the amount of actual experiments/test runs needed to accurately describe the behavior of the UUT within the design space. A model-based validation is a task carried out to test and evaluate the robustness of the results from the tuning task. The raw data plausibility check was followed by empirical modeling of the output variables. The pareto front consists of points a majority of which are from the model extrapolation.
