Model-Based Calibration Toolbox
Model-Based Calibration Toolbox uses MATLAB functions for data analysis and visualization, statistics, and optimization to fit the models and generate a graphical representation of an engine's behavior. The toolbox provides the MBC Model Fitting app to help you ensure that test points taken in the laboratory match the original experimental design. Using the app, you can fit different model types to the collected data.
The toolbox provides the Design Editor for analyzing engine data and transforming it into a form that is suitable for modeling. With the Design Editor you can perform a variety of preprocessing operations, including filtering to remove unwanted data, adding test notes to document findings, transforming or scaling raw data, grouping test data, and matching test data to experimental designs.
Model-Based Calibration Toolbox provides a library of empirical model types for modeling engine behavior such as torque, fuel consumption, and emissions. Models include polynomials, splines, radial basis functions, growth models, user-defined MATLAB files, and Simulink models.