Background in powertrain calibration required; basic knowledge of MATLAB recommended.
Day 1 of 2  

Problem Definition 
Get an overview of the general effects of the engine actuators used in the course and review a blockdiagram problem statement for the calibration problem to be solved over the twoday course.

Design of Experiments 
Develop an efficient Design of Experiments (DoE) test plan for the calibration problem definition using the minimal amount of expensive dynamometer test points.

Test Data Import, Filtering, and Meta Variable Setup 
Import data into ModelBased Calibration Toolbox™ and filter it for bad data. Using the directly measured data, calculate meta variables that may not be directly measured (e.g., mechanical power, brake specific fuel consumption).

Statistical Modeling of Measured Engine Data 
Develop accurate statistical engine models required for calibration development. Export those models to MATLAB and Simulink so that others can reuse them in HIL and powertrain simulation models.

Day 2 of 2  

Set Up and Run Calibration Optimization Problem in CAGE Tool 
Import models into the Calibration Generator tool (CAGE) in ModelBased Calibration Toolbox, set up empty lookup table structures, and enter the optimization problem definition.

Fill Calibration Tables, Judge Results, and Export for ECU Implementation 
Fill the optimal calibration tables, judge the sensitivity of the final calibrations and their validity relative to a validation data set, and export calibration tables for ECU implementation.

Student WalkIn Example Application Support  Work with the instructor to solve specific calibration problems using the skills learned in the formal course. 