To verify the accuracy of a model, the outputs predicted by the component and powertrain models need to be compared to test data. Several advanced vehicles, tested at Argonne’s APRF, have been validated in Autonomie using the process described below.
The goal is to:
- Automatically realign the data when different sources are used (e.g., emission bench, dynamometer).
- Select the proper sensor when the same parameter can be measured/recorded from different sources.
- Quantify the uncertainty of each sensor by comparing its values with measured or calculated parameters by using powertrain equations.
- Reuse existing post-processing capabilities developed initially for simulation purposes to automatically calculate effort, flow, power, energy, and efficiencies, as well as use the analytical tools already available in Autonomie.
- Automate report generation so that complete analysis can be summarized in an HTML document within minutes
On the light duty side, several conventional vehicles (e.g., Chevy Equinox, Ford Explorer) have been validated within 1% fuel economy. Hybrid electric vehicles (e.g., Honda Insight, Toyota Prius, Lexus RX400) and Plug-in HEVshave been validated within 5% for both fuel economy and battery State-of-Charge for several driving cycles.
Medium and Heavy Duty vehicles have also been validated working closely with truck manufacturers and government agencies.
Last update September 2010