Learn more about Model-Based Calibration

Version 2.0 (R13+) Model-Based Calibration Toolbox Software

This table summarizes what's new in V2.0 (R13+):

New Features and Changes	Version Compatibility Considerations	Fixed Bugs and Known Problems	Related Documentation at Web Site
Yes Details below	No	No bug fixes	V2.0 product documentation

New features and changes introduced in this version are organized by these topics:

• CAGE New Features

• Model Browser New Features

CAGE New Features

• Optimization capability for base map calibration in CAGE. For example you could mazimise fuel economy at a single point or over a drive cycle within emissions requirements, using Fuel and NoX models. You can perform multi-objective optimizations, such as minimizing fuel consumption while maximizing torque within emissions constraints. You can also incorporate your own algorithms in provided templates.

• Automatic fill of Tradeoff, using the optimization scripts.

• Significantly faster CAGE evaluation.

• Support for more blocks in CAGE strategy parsing -- all standard Simulink lookup tables and the relational operator block.

• Considerable usability improvements in the new Surface Viewer in CAGE.

• Use of boundary models in CAGE (in the response surface viewer and optimization views).

• Improved multi-model tradeoff (one model for all sites, greatly reducing file size).

Model Browser New Features

• Boundary modelling for understanding complex operating envelopes using nonparametric surfaces.

• Stepwise improvements in terms of speed and large data set handling. Automatic stepwise is available for RBF models and prune as a stepwise option for all linear models.

• More efficient fitting and handling of large data sets (size ~ 1000 to 10000 points).

• New and improved Data Editor with increased functionality. There are new viewing options similar to the Design Editor so you can view your data in many ways simultaneously. You can now access the Data Editor to view and export your modeling data from all nodes in the model tree. For example, this allows you to extract the value of MBT from all your local models and export them to the workspace. The Data Editor retains a memory of view settings.

• User-defined and transient models available as one-stage models.

• New Tree Regression methods for fitting RBF's.

• Local Multi-Models for site specific models. You can fit a variety of different models to each test and choose criteria to automatically select the best fit for each.

• Ability to fit the same model to all tests using Local Average Fit. This allows you to fit global models to your data while also being able to view the fit to each test individually.

• Much improved data selection and matching to designs.

• New enhancements to design augmentation. You can easily use the data matching functions to add all your data to a design as fixed points, in order to augment the design and collect more data.

• Flexible summary statistics for models and you can use these criteria to automatically select best models, in addition to using them as diagnostic statistics when comparing models.

• Memory of settings for a test plan retained by response surface, cross-section view, and validation data.

• Ability to display boundary models in Model Browser response surface viewer and cross-section viewer.

Version 2.1 (R14) Model-Based Calibration Toolbox Software

Compatibility Summary for Model-Based Calibration Toolbox Software

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