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ASCMO, …ASCET TIP, ASCET V4.0, ASCET V4.1, ASCET V4.2, ASCET V5.0, …SoftwareLiMa (ETAS License Manager) LiMa (ETAS License Manager)

This LiMa upgrade contains the support for machine based FlexNet-Embedded (FNE) licenses. In case of new ordered machine based license(s) for formerly released ETAS-SW, this upgrade supports additionally the activation of new FlexNet-Embedded (FNE) license type. All existing FlexNet-Publisher (FNP) license types are still supported.

If you need more detailed information about this ETAS License Manager …

29.11.2024
ASCMOASCMO, ASCMO-DESK, ASCMO-DYNAMIC, ASCMO-MOCA, ASCMO-STATICSoftwareASCMO V5.14 ETAS ASCMO V5.14

ASCMO V5.14 is the version released November 2024.

ETAS ASCMO is the ideal solution for data-based modeling and model-based calibration. It enables users to accurately model, analyze, and optimize the behavior of complex systems based on only a few measurements and using advanced algorithms. Both, steady-state and transient system behaviors can be captured. Furthermore, it allows optimizing parameters of physics …

21.11.2024
ASCMOASCMO-DYNAMICManual / Technical DocumentationBenutzerhandbuch ASCMO-DYNAMIC 01.10.2024
ASCMOASCMOManual / Technical DocumentationASCMO-Benutzerhandbuch 25.09.2024
ASCMOASCMO-MOCAManual / Technical DocumentationBenutzerhandbuch ASCMO-MOCA 21.09.2024
ASCMO, …ASCMO, INCA-FLOWFlyer / Brochure / White PaperSuccess Story: ODCM to Improve the Efficiency of Model-Based Calibration Overcoming the limitation of manual ICE calibration with automated measurement and smart model-based calibration

At the initial stages of development, the precise operational limits of a new engine are often not known in detail. ETAS addresses this challenge with its INCA-FLOW and ETAS ASCMO tools. Through ASCMO-ODCM (Online DoE with Constraint Modelling), the test plan is dynamically adjusted based on real-time feedback from the engine, …

08.08.2024
ASCMOASCMOManual / Technical DocumentationETAS ASCMO Release Notes 29.05.2024
ASCMO, …ASCMO, INCA-FLOWFlyer / Brochure / White PaperFuel Cell Stack Power Prediction Model Using Gaussian Process Regression Mode Modell zur Vorhersage der Leistung von Brennstoffzellen-Stacks mittels dem Gaußschen Prozess-Regressionsmodus

Ein Modell zur Vorhersage der Stack-Leistung von Brennstoffzellen, das die verschiedenen Parameter der Stack-Steuerung berücksichtigt, ist wichtig für die Optimierung der Steuerung der einzelnen Nebenaggregate in einem System, das dem eines echten Fahrzeugs entspricht.

Die Erstellung eines Modells zur …

05.08.2023
ASCMO, …ASCET TIP, ASCET V4.0, ASCET V4.1, ASCET V4.2, ASCET V5.0, …Manual / Technical DocumentationSicherheitshinweis 01.07.2023
ASCMOASCMOFlyer / Brochure / White PaperASCMO Flyer ETAS ASCMO Datenbasierte Modellierung und modellbasierte Applikation

ETAS ASCMO ist die ideale Lösung für die datenbasierte Modellierung und modellbasierte Applikation. Anwender können das Verhalten komplexer Systeme mit wenigen Messdaten mit modernsten Algorithmen präzise modellieren, analysieren und optimieren. Dabei lässt sich das Verhalten im stationären und transienten Betrieb abbilden.

Auf …
29.06.2023
ASCMOASCMOKnown Issue ReportKnown Issue Report ASCMO Known Issue Report ASCMO

Even after careful development and extensive release testing, we occasionally find defects in our products after they have been released into the marketplace. We correct minor problems in the course of our regular maintenance and development activities.

For more significant problems, we publish a Known Issue Report (KIR) to inform you about the technical effects of a known problem as well as offer …

09.07.2022