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Model-Based Calibration Toolbox 3.7

Product Description

Working with the Model-Based Calibration Toolbox

The Model-Based Calibration Toolbox supports the three key steps of powertrain calibration:

  • Designing an efficient test
  • Processing data and producing engine response models
  • Performing the calibration

Designing the Test

The Model-Based Calibration Toolbox enables you to design a test plan based on Design of Experiments, a methodology that saves test time by letting you perform only those tests that are needed to determine the shape of your engine response.

The toolbox offers a full range of proven experimental designs, including:

  • Classical: Box-Behnken, Central-Composite, and Full Factorial
  • Space-filling: Latin Hypercube and Lattice
  • Optimal: V, D, and A optimality criteria

You can use the experimental design to define the test points to be run in an engine dynamometer. You can then bring the test data into the Model-Based Calibration Toolbox to develop engine models.

Managing Designs

The Design Editor in the Model-Based Calibration Toolbox lets you generate, augment, and visually compare designs without needing to know the detailed mathematics of Design of Experiments.

 
mb_design_eval

 

Investigation of the properties of designs using the Design Evaluation Tool. Click on image to see enlarged view

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Recorded Webinar

Best Practices for Verification, Validation, and Test in Model-Based Design