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ASCMO, … | ASCMO, INCA-FLOW | Flyer / Brochure / White Paper | Automated in-vehicle engine calibration to optimize emissions levels using machine learning
Automated in-vehicle engine calibration to optimize emissions levels using machine learning
The growing concern with environmental impact is a major drive for the tighter emissions imposed on combustion engines. The compliance with those restrictions is pushing new hardware and software solutions that, nevertheless, increase system complexity leading to more iterations and hence longer development time, a risk to profitability. In this … | 09/12/2021 |
ASCMO | ASCMO, ASCMO-MOCA | RealTimes Article | Automated optimization of ECU function calibration
Automated optimization of ECU function calibration
Hyundai Motor’s successful approach to automating and optimizing calibrations
Hyundai Motor improves calibration efficiency through automated mapping optimization
As engines are increasingly equipped with various actuators for better performance, fuel efficiency, and tighter emissions regulations, the complexity and degrees of freedom of engine systems are also increasing. … | 03/09/2021 |
ASCMO, … | ASCMO, ASCMO-MOCA, COSYM, EATB | RealTimes Article | Developing low-emission powertrains with AI and in the cloud
Developing low-emission powertrains with AI and in the cloud
Huge efficiency gains from cloud-based simulation
The adoption of real-world driving emissions in vehicle emissions legislation has introduced a new measure of complexity to powertrain development, which was already a costly and complex process. To prevent further escalation of the time and cost involved, ETAS is pushing ahead with the virtualization of road and bench testing. … | 03/09/2021 |
ASCMO | ASCMO | RealTimes Article | Embedded Artificial Intelligence: New capabilities in engine controls development
Embedded Artificial Intelligence
New capabilities in engine controls development
The latest engine control units (ECUs) come with a new generation of high-performance system-on-chips to increase available computational power. These devices have the ability to provide onboard resources to support unexpected feature growth and on-demand customer requirements. Infineon and ETAS worked together with Ford Research to demonstrate the use of … | 03/09/2021 |
ASCMO | ASCMO-MOCA | Vidéo | Optimization of Model Parameters with ASCMO-MOCA
Optimization of Model Parameters with ASCMO-MOCA
The focus of this video is to show the basics of efficient optimization of parameters in physics based models such as those used in the ECU and simulation environment.
We will explain how the simple and intuitive operation of the ETAS ASCMO-MOCA tool can be used to efficiently perform even complex optimization tasks.
… | 01/04/2021 |
ASCMO | ASCMO | Manual / Technical Documentation | OSS Attributions for ASCMO
OSS Attributions for ASCMO | 10/08/2019 |
ASCMO, … | ASCMO, INCA-FLOW | RealTimes Article | Optimisation des moteurs essence
Optimisation des moteurs essence
Application basée sur des modèles chez Hyundai
Increasingly efficient engines and systems are being developed by Hyundai Motor Company (HMC) in order to meet the demanding requirements with respect to performance, fuel consumption, and pollutant emissions. The many degrees of freedom afforded by the large number of systems are reflected in the wide range of parameters that must be adjusted … | 25/05/2019 |
ASCMO, … | ASCET V6.0, ASCET V6.1, ASCET V6.2, ASCET V6.3, ASCET V6.4, … | FAQ / Use Case | ASCET: How to create an ASCET PSL model
ASCET: How to create an ASCET PSL model
I want to use an ASCET model for calibration with ETAS ASCMO-MOCA. In this article, Steffen Roser (Support Engineer at ETAS) provides hints and screenshots regarding how to generate an ASCET-PSL model that can be imported to ASCMO-MOCA. | 02/05/2018 |
ASCMO, … | INCA-FLOW | Article technique | Optimisation des moteurs essence (ATZelektronik)
Le respect des nouvelles conditions strictes de contrôle RDE nécessite une optimisation du comportement des moteurs à combustion sur l’ensemble de la plage de régimes (« globale »). Cet objectif peut être atteint à l’aide de processus de Gauss. Ce processus d’apprentissage machine permet de simuler le comportement du moteur sur banc d’essai avec une probabilité … | 18/07/2017 |
ASCMO, … | ETAS License Manager (LiMa) | FAQ / Use Case | Installation of component ETAS License Manager (x86) failed. Error Code 1603
Installation or uninstallation of any ETAS product failed. Error message was: Installation of Package 'ETAS License Manager (x86)' failed with error code '1603' and error message 'Fatal error during installation.'. This behavior occurs for many reasons and also specific to the system. The most often reasons and according resolutions are listed in this FAQ article. | 22/02/2017 |
ASCMO | ASCMO | FAQ / Use Case | A simple approach to solving transient problems with ETAS ASCMO
In engine calibration, DoE (Design of Experiments) is a widely used method for solving multi-parameter problems with conflicting goals. The models typically used with this method are limited to stationary problems and are unable to represent transient characteristics of dynamic systems. Although highly accurate models exist and are available with tools like ETAS ASCMO-DYNAMIC, the high complexity of the transient DoE process comes with a much … | 21/01/2017 |