Fields of Application of ASCMO-MOCA

This section provides a general overview of the wide range of application fields of ASCMO-MOCA.

Calibration of ECU Sensor Data

  • Optimization of parameters

  • Optimization of time-dependent (dynamic) functions

  • Parameterization of ECU models (cylinder fill, torque, ...)

The use of ASCMO-MOCA in the area of calibration offers a series of advantages:

  • Significant increase in efficiency through reduced measuring and analysis efforts

  • Improved complexity handling

  • Improved data quality

  • Multiple use of models

Research, Function and System Development

  • Quick calibration and evaluation of experimental engines
  • Use of models of real engines for test and development of new functions (e.g., controller strategies)
  • Analysis and optimization of unknown systems.

The advantages in the area of research and development lie primarily in a quicker and more improved system understanding, coupled with a variety of possibilities for impact analysis.

Fields of Application of ASCMO-MOCA Runtime

The Runtime version of ASCMO-MOCA is designed to fulfill the special requirements of using the software with limited access to special functionalities. Reasons for doing this are to hide away special IP or to avoid that an user changes something critical.

This version can be either installed and used in parallel to the main (Developer) version or as standalone.

Note  

The Runtime version does not allow to create or modify functions.

 

The following activities can be carried out with ASCMO-MOCA Runtime:

  • Import of stationary or transient data followed by name-mapping.
  • Definition of conversion rules (Conversion Parameters / formulas).
  • Import, export, creation, deletion and editing of parameters and system constants.
  • Iterative optimization and calibration of parameters.

The installation of ASCMO-MOCA Runtime is particularly recommended if the one who has created the project with the optimization task is not the same as the one who executes the optimization.

This supports intellectual property protection and safety:

  • You do not have to share special know-how about the function or the optimization logic with others.
  • No critical parameters and settings are changed by the user who performs the optimization. Such changes could result in unexpected behavior.