ECU Calibration

Optimally calibrate engines

ECU calibration is the process of determining the optimal calibration tables for an engine. This multistep process involves designing tests, collecting data, analyzing the data, and calibrating lookup tables to model the engine. This process helps to identify the optimal balance of engine performance, emissions, and fuel economy. You can also use models developed during ECU calibration for control design, hardware-in-the-loop (HIL) testing, or powertrain simulation.

MATLAB^® and Model-Based Calibration Toolbox^™ provide ECU calibration tools for:

• Designing a test plan based on Design of Experiments
• Analyzing experimental data with a variety of empirical models
• Optimally calibrating lookup tables for the ECU
• Exporting calibrated models to Simulink^® to use them in HIL testing

Examples and How To

• Mazda Speeds Next-Generation Engine Development of SKYACTIV TECHNOLOGY (User Story)
• Calibration of Engine Performance at Mercedes-AMG (Technical Article)
• Optimizing Performance and Fuel Economy of a Dual-Clutch Transmission Powertrain with Model-Based Design (Technical Article)
• Ford Motor Company Accelerates the Calibration of Onboard Engine Diagnostics (User Story)
• Using Model-Based Calibration Toolbox Multimodels for Cycle-Optimized Diesel Calibration (Ford Paper)
• Objective Determination of Minimum Engine Mapping Requirements for Optimal SI DIVCP Engine Calibration (SAE Paper)

See also: Model-Based Calibration Toolbox, powertrain, design optimization, real-time testing