Validation of longitudinal vehicle estimation techniques on a heavy truck test-bed

Commercial vehicles display a large variation in their parameters, and due to many current trends in vehicle control systems, identifying these parameters has been the subject of much research. Using the National Center for Asphalt Technology's test track and instrumented Freightliner vehicles as a test bed, this paper sets out to provide analysis of real world and simulated estimation results and explore how sensor accuracies can degrade these results. Various vehicle parameters are identified using both the existing test conditions of the facility and simulated data. The estimation accuracy and performance are then analyzed for validation and use in other vehicle design arenas.