PC-based system optimization

  • 20-Aug-2012 01:04 EDT
ETAS_ASCMO_horizontal_EN.jpg

 

ETAS ASCMO accurately predicts complex system behaviors by using a model based on a minimal number of measurements taken from the actual system, thus significantly reducing the effort required for testing on real-world systems—e.g., at the test bench or in the vehicle. As part of this process, the tool applies newly developed statistical learning procedures that permit a high level of model accuracy with relative ease. Once the accurate model has been completed, the control of an entire powertrain can be optimized automatically. With its easy and intuitive operation, ASCMO interactively guides the user through complex task sequences. Based on measurement data captured from the actual system on the test bench, the tool automatically feeds the mathematical model with parameter values. Statistical DOE (design of experiments) methods are used in measurement planning. The company claims that this approach has delivered a proven reduction of measuring activity in excess of 80% in a number of practical applications.

Booth 301 at SAE Commercial Vehicle Engineering Congress.

Share
HTML for Linking to Page
Page URL
Grade
Rate It
0.00 Avg. Rating

Read More Articles On

2016-12-07
Christopher Grundler, the Director of OTAQ for the U.S. EPA, answered questions about Phase 2 rule-making for heavy trucks, global harmonization of emissions regulations, and his outlook for a new national NOx standard. Grundler will be the featured speaker on opening day of the SAE 2017 Government/Industry Meeting taking place January 25-27 in Washington D.C.
2017-03-03
Making off-highway equipment, such as construction or agriculture machines, more efficient continues to be a priority after the final phase-in of the U.S. EPA Tier 4 Final emissions regulations. “Some of the companies we work with are running out of credits and unfortunately still struggling with Tier 4,” explained Tristan Donley, Technical Director, Off-Highway Heavy Vehicles North American for Exa, a supplier of software for computational fluid dynamics (CFD).
2017-01-03
With the new SCALEXIO LabBox, dSPACE offers a compact high-performance system for hardware-in-the-loop tests.
2017-05-17
The accuracy of an NO gas sensor (the primary component of NOx) can be compromised when exposed to ambient temperatures above 86°F (30°C) and significantly more so above 104°F (40°C).

Related Items

Standard
2014-07-09
Standard
2013-05-03
Book
2009-03-30
Training / Education
2011-04-12
Standard
2015-10-15
Article
2017-01-03