This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Virtual Road Torque Data Collection
ISSN: 0148-7191, e-ISSN: 2688-3627
Published January 09, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
The traditional method of collecting the Road Torque Data of a vehicle is by instrumenting and running the vehicle on different road terrains. Every time, physical testing becomes tedious & most challenging task due to unavailability of unit under tests, kind of resource required and so on. However, in view of response to the fast emerging technology & limit less competition, it has become mandatory to develop & launch products in market within no time. In recent times, there is increased demand for physical road torque data measurements for a vehicle program based on its application and different powertrain configurations, which clearly shows that unless we front load the data to design it is practically impossible to meet the deadlines. Each of these measurements cost and consumes valuable resources of the company in collecting and analyzing the data. These challenges triggered us to develop a methodology, which will give us quick estimate of the required parameters from road torque data measurements in the absence of physical prototype. The developed methodology will reduce the time required to conduct road torque data measurements by quickly assessing the change in drivability performance with respect to the changes in different driveline parameters and to reduce the repetition of physical measurements in the cases of update in engine calibration for the vehicles built for different applications. The scope of this work is to estimate the demand torque at the driver wheels, gearshift pattern and gear utilization percentage of a vehicle by taking the vehicle speed and altitude of a particular road segment as input along with some vehicle parameters like mass, frontal area, rolling resistance of tires and coefficient of drag. For analysis of changes in road torque (RLD) with changes in driveline components, engine performance calibration and different applications of vehicle. The developed methodology will help in assessing the changes in driveline duty cycle for change in powertrain parameters & application. The developed methodology is having a user interface and some control buttons to carry out the required calculations. Major Deliverables of this methodology are percentage gear utilization and duty cycle generation for durability testing of powertrain components. The results from the algorithm compared with the results of physical measurements & analysis and a fair amount of correlation achieved.
|Technical Paper||Adaptation of the Engine to the Vehicle|
|Technical Paper||A Real-Time Fuel-Optimal Cruise Controller for Heavy Trucks Using Road Topography Information|
|Technical Paper||Enhanced Vehicle Stability with Engine Drag Control|
CitationMullapudi, D., Rajput, P., Chaskar, M., and Gosavi, S., "Virtual Road Torque Data Collection," SAE Technical Paper 2019-26-0289, 2019, https://doi.org/10.4271/2019-26-0289.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
|[Unnamed Dataset 2]|
|[Unnamed Dataset 3]|
|[Unnamed Dataset 4]|
|[Unnamed Dataset 5]|
|[Unnamed Dataset 6]|
- Gosavi, S.S. and Chavan, G.A., “Development of Customer Correlated and Accelerated Driveline Durability Test Cycle,” SAE Technical Paper 2009-01-0412, 2009, doi:10.4271/2009-01-0412.
- Schudt, J.A., Kodali, R., Shah, M., and Babiak, G., “Virtual Road Load Data Acquisition in Practice at General Motors,” SAE Technical Paper 2011-01-0025, 2011, doi:10.4271/2011-01-0025.
- Joseph, B., Attibele, P., Lee, Y.-L., and Haq, S., “A PG-Based Powertrain Model to Generate Component Loads for Fatigue Reliability Testing,” SAE Technical Paper 2003-01-1223, 2003, doi:10.4271/2003-01-1223.
- Duran, A. and Earleywine, M., “GPS Data Filtration Method for Drive Cycle Analysis Applications,” SAE Technical Paper 2012-01-0743, 2012, doi:10.4271/2012-01-0743.