Parameters

Modern ECUs contain many map-based physical models1 to replace or monitor real sensors, e. g.:

Engine torque
Air charge/Air mass
Exhaust gas temperature
Fuel system corrections

To provide an optimal prediction quality, these models contain parameters such as maps (see also Maps) and curves (see also Curves) that need to be calibrated using real measurement data (e. g., from test bench or vehicle).

The high number of actuators in modern engines leads to a continuous increase in the complexity and the number of parameters of these functions.

A manual calibration is either very time consuming or even impossible.

ASCMO-MOCA supports the calibration and optimization tasks in an efficient and user-friendly way.

Example

You can find an example of parameter optimization for a sensor in the chapter Tutorial: Working with ASCMO-MOCA. In this tutorial, different maps and curves will be optimized in order to reduce the deviation between the measured values and the model prediction.