Engine Calibration has got much more complex over the years due to the growing automotive complexity overall. While the need to validate the developed calibration on Physical test infrastructure is something that will never go away, smart calibrators around the world have long used their own data-driven approaches to do modelbased or offline calibration where possible.
In this webinar we cover the basics of Design of Experiments (DoE) and Engine Calibration optimization.
This webinar also has introductory material to Gannet calG, a data analytics tool developed by calibrators, that has engineering workflow and regulatory understanding built into it.
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