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ETAS ASCMO: Advanced Simulation for Calibration, Modelling and Optimization

durch ETAS Inc

Data-based modeling and model-based calibration

ETAS ASCMO (Advanced Simulation for Calibration, Modelling and Optimization) is a solution for data-based system modeling and optimization. By using advanced AI methods from the field of machine learning, ASCMO enables you to accurately model, analyze, and optimize the behavior of complex systems on the basis of a small set of measurement data.

ASCMO has a footprint in combustion engine development and calibration worldwide. But naturally ASCMO also supports use cases in the electric vehicle powertrain system. From global engine efficiency models to thermal component models, accurate modeling with efficient use of data is of great benefit for both steady-state and transient system behavior – regardless of the type of powertrain system.

Your benefits...
  • Improved efficiency and accuracy: More precise adjustments of control systems and less required calibration resources.
  • Enhanced optimization capabilities: Optimal performance characteristics for automotive systems, management of conflicting objectives.
  • Reduced development time and costs: More effective and streamlined processes, faster iterations, and more agile development cycles.

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