ETAS ASCMO provides very accurate mathematical models of complex systems. ETAS ASCMO differs from other solutions in that it employs newly developed statistical learning procedures that permit to achieve high levels of model accuracy quite easily.
Accurate and intuitive
ETAS ASCMO describes the behavior of complex systems such as the powertrain of modern vehicles by a very accurate mathematical model. The model can describe the behavior of the powertrain over the entire operating range. Based on the model, the control of the powertrain can be optimized automatically. ETAS ASCMO applies newly developed statistical learning procedures that permit to achieve a high level of model accuracy easily and differentiate the tool from other solutions. With its intuitive operation, the tool interactively guides the user through complex task sequences.
Based on measurement data
Based on measurement data captured from the actual system on the test bench, ETAS ASCMO automatically feeds the mathematical model with parameter values. For planning the measurements, the tool uses statistical design of experiments (DoE) methods. The DoE module of ETAS ASCMO selects the position and placement of measuring points in such a way that a model of maximum accuracy will be created with a minimum of measuring effort. This approach has ensured a proven reduction of measuring activity in excess of 80 percent in a number of practical applications.
Optimization in multiple dimensions
Through an interactive graphical display of projections, ETAS ASCMO is able to show n-dimensional dependencies in the model. ETAS ASCMO’s powerful optimization algorithms resolve calibration target conflicts and minimize consumption and emissions in the driving cycle. By screening the model, ETAS ASCMO is capable of generating hundreds of thousands of virtual measurement data that effectively replace real-world measurements on the test bench.
Open and flexible
ETAS ASCMO is open and flexible. The tool supports all data formats relevant to test bench and calibration functions. ETAS ASCMO is capable of exporting existing models in a variety of formats. With the aid of the MATLAB® interface integrated in ETAS ASCMO, customer-specific functions and models can be easily integrated and script-based sequences automated. It is also possible to connect a test bench automation system.
Functions at a Glance
- Automatic generation of accurate data-based models of complex systems, such as internal combustion engines
- Efficient design of experiments and a simple parameterization of the model based on a minimum number of measurements on the real system
- Interactive graphical display of multidimensional dependencies
- Powerful automatic multi-objective optimization and parameterization of characteristic maps
- Open and flexible exchange of data and models
- Powerful MATLAB® interface
