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Model-Based Calibration Toolbox
Model-Based Calibration Toolbox™ provides apps and design tools for modeling and calibrating complex nonlinear systems. It can be used in a wide range of applications, including powertrain systems such as engines, electric machines, pumps, and fans, as well as nonautomotive systems such as jet engines, marine hydrofoils, and drilling equipment. You can define optimal test plans, automatically fit statistical models, and generate calibrations and lookup tables for high-degree-of-freedom systems that would require exhaustive testing using traditional methods. Using the toolbox apps or MATLAB® functions, you can automate the model fitting and calibration process.
Models created with Model-Based Calibration Toolbox can be exported to Simulink® to support control design, sensitivity analysis, hardware-in-the-loop testing, and other simulation activities. Calibration tables can be exported to ETAS INCA and ATI Vision.
Get Started
Learn the basics of Model-Based Calibration Toolbox
Engine Calibration Applications
Gasoline and diesel engine calibration case studies
Design of Experiments
Experimental design for engine testing
Empirical Engine Modeling
Statistical modeling of engine responses and boundaries using experimental data
Calibration Setup
Model, variable, table, and data set setup for calibration problems
Optimization
Generation of optimal calibrations for engine performance, economy, and emissions
Feature Calibration
Lookup table filling for engine control unit strategies using models
Tradeoff Calibration
Graphical tradeoff of competing objectives over table operating points
Automation Scripting
Automate engine design, modeling, and optimization