主要内容

Design of Experiments

Experimental design for testing complex powertrain systems

Design of experiments is crucial for the efficient collection of data for complex powertrain systems. Model-Based Calibration Toolbox™ offers a full range of proven experimental designs, including space-filling, optimal, and classical designs. You can define operating constraints, and generate test points using statistical design of experiments methods. You can augment existing designs and visually compare designs. Use the experimental design to define the test points to run in a test facility. You then bring the test data into Model-Based Calibration Toolbox to develop empirical models.

To get started with interactive design creation, see Set Up Design Inputs. When you know what design type you need, you might want to automate with a script. To learn more, see Automate Design and Modeling with Scripts.

Apps

MBC Model FittingCreate experimental designs and statistical models for model-based calibration

Functions

expand all

mbcdoe.designProperties and methods for design of experiment (doe) design objects
AddConstraintAdd design constraint
AugmentAdd design points
ConstrainedGenerateGenerate constrained space-filling design of specified size
CreateCandidateSetCreate candidate set for optimal designs
CreateConstraintCreate design constraint
DiscrepancyDiscrepancy value
FixPointsFix design points
GenerateGenerate design points
getAlternativeTypesAlternative model or design types
MaximinMaximum of minimum of distance between design points
MergeMerge designs
MinimaxMinimum of maximum distance between design points
OptimalCriteriaOptimal design criteria
RemovePointsRemove all nonfixed design points
Scatter2DPlot design points
mbcdoe.generatorProperties and methods for design of experiment (doe) generator objects
getAlternativeTypesAlternative model or design types
mbcdoe.candidatesetProperties and methods for design of experiment (doe) candidate set objects
getAlternativeTypesAlternative model or design types
mbcdoe.designconstraintProperties and methods for design of experiment (doe) design constraint objects
EvaluateEvaluate model, boundary model, or design constraint
getAlternativeTypesAlternative model or design types
MatchInputsMatch design constraint inputs

Topics

Featured Examples