The effect of the ECU on drivability can be dramatic and requires time for proper calibration. Traditionally, experienced drivers test a vehicle during tip-in/tip-out maneuvers and provide a subjective drivability rating, iterating on ECU calibrations until the subjective feel is acceptable. Using simulation-based methods, it is possible to conduct much of this analysis upfront using objective methods. An objective metric can be obtained by extracting key features from the acceleration results. Formal optimization methods can identify a calibration set that provides a much better drivability response for the initial in-vehicle tests, thus reducing the time required. In this session, you will learn how MathWorks tools for data analysis, vehicle modeling, and calibration were applied to perform the objective drivability calibration.

Key topics:

• Extracting key features from acceleration results.
• Using formal optimization methods to identify a calibration set.
• Applying MathWorks tools for data analysis, vehicle modeling, and calibration.