White Paper: Automated Model Initialization Using Test Data
Building a vehicle model with sufficient accuracy for fuel economy analysis is a time-consuming process, even with modern simulation tools. Obtaining the right kind of data for modeling a vehicle can itself be challenging, given that while OEMs advertise the power and torque capability of their engines, the efficiency data for the components or the control algorithms are not usually made available for independent verification.
So, where does one go to get the data they need to create accurate fuel economy analysis?
Fortunately, the U.S. Department of Energy (DOE) funds the testing of vehicles at Argonne National Laboratory, and the test data are publicly available. Argonne is also the premier DOE laboratory for the modeling and simulation of vehicles. By combining the resources and expertise with available data, a process has been created to automatically develop a model for any conventional vehicle that is tested at Argonne.
In this white paper you will learn:
The process for analyzing the publically available data provided by Argonne National Laboratory.
How engine fuel maps, gears sift maps and other vehicle specs can lead to more accurate fuel economy statistics.
The advantages and limitations of using Argonne data for determining fuel economy statistics.
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