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Model-Based Calibration Toolbox

Model and calibrate complex powertrain systems

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