This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Testing and Benchmarking a 2014 GM Silverado 6L80 Six Speed Automatic Transmission
Technical Paper
2017-01-5020
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
As part of its midterm evaluation of the 2022-2025 light-duty greenhouse gas (GHG) standards, the Environmental Protection Agency (EPA) has been acquiring fuel efficiency data from testing of recent engines and vehicles. The benchmarking data are used as inputs to EPA’s Advanced Light Duty Powertrain and Hybrid Analysis (ALPHA) vehicle simulation model created to estimate GHG emissions from light-duty vehicles.
For complete powertrain modeling, ALPHA needs both detailed engine fuel consumption maps and transmission efficiency maps. EPA’s National Vehicle and Fuels Emissions Laboratory has previously relied on contractors to provide full characterization of transmission efficiency maps. To add to its benchmarking resources, EPA developed a streamlined more cost-effective in-house method of transmission testing, capable of gathering a dataset sufficient to broadly characterize transmissions within ALPHA. This technique targets the range of transmission operation observed during vehicle testing over the EPA city and highway drive cycles.
This paper describes the method and test results of the benchmarking process used to gather transmission data. With this method, the transmission is tested as a complete system, as opposed to disassembling the transmission components and testing each separately. To develop this test method, a 6-cylinder EcoTec 4.3L engine with a 6L80 six speed automatic transmission from a 2014 Chevrolet Silverado was installed in an engine dyno test cell. The transmission dataset includes gear efficiencies, torque converter slippage and K factors, oil temperature and pressure, and OBD/epid CAN bus data.
The transmission data collected using this benchmarking method were supplied as inputs to the EPA ALPHA model including transmission gear efficiency, torque converter K factors, and spin losses. The ALPHA results were then validated to vehicle chassis dynamometer test data.
Recommended Content
Authors
Topic
Citation
Stuhldreher, M., Kim, Y., Kargul, J., Moskalik, A. et al., "Testing and Benchmarking a 2014 GM Silverado 6L80 Six Speed Automatic Transmission," SAE Technical Paper 2017-01-5020, 2017, https://doi.org/10.4271/2017-01-5020.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| [Unnamed Dataset 1] | ||
| [Unnamed Dataset 2] | ||
| [Unnamed Dataset 3] | ||
| [Unnamed Dataset 4] | ||
| [Unnamed Dataset 5] | ||
| [Unnamed Dataset 6] |
Also In
References
- U.S. Environmental Protection Agency and Department of Transportation, “2017 and Later Model Year Light-duty Vehicle Greenhouse Gas Emissions and Corporate Average Fuel Economy Standards: Final Rule,” Federal Register vol. 77, no. 199, October 15, 2012.
- Lee, B., Lee, S., Cherry, J., Neam, A. et al., "Development of Advanced Light-Duty Powertrain and Hybrid Analysis Tool," SAE Technical Paper 2013-01-0808, 2013, https://doi.org/10.4271/2013-01-0808.
- U.S. Environmental Protection Agency “Code of Federal Regulations”
- Stuhldreher, M., "Fuel Efficiency Mapping of a 2014 6-Cylinder GM EcoTec 4.3L Engine with Cylinder Deactivation," SAE Technical Paper 2016-01-0662, 2016, https://doi.org/10.4271/2016-01-0662.
- Dekraker, P., Stuhldreher, M., and Kim, Y., "Characterizing Factors Influencing SI Engine Transient Fuel Consumption for Vehicle Simulation in ALPHA," SAE Int. J. Engines 10(2):529-540, 2017, https://doi.org/10.4271/2017-01-0533.
- Newman, K., Kargul, J., and Barba, D., "Benchmarking and Modeling of a Conventional Mid-Size Car Using ALPHA," SAE Technical Paper 2015-01-1140, 2015, https://doi.org/10.4271/2015-01-1140.
- Seetharaman S and Kahraman A., “Load-Independent Spin Power Losses of a Spur Gear Pair: Model Formulation,” ASME. J. Tribol.131(2):022201-022201-11, 2009, doi:10.1115/1.3085943.
- Moskalik, A., Hula, A., Barba, D., and Kargul, J., "Investigating the Effect of Advanced Automatic Transmissions on Fuel Consumption Using Vehicle Testing and Modeling," SAE Int. J. Engines 9(3):1916-1928, 2016, https://doi.org/10.4271/2016-01-1142.
- Dekraker, P., Kargul, J., Moskalik, A., Newman, K. et al., "Fleet-Level Modeling of Real World Factors Influencing Greenhouse Gas Emission Simulation in ALPHA," SAE Int. J. Fuels Lubr. 10(1):217-235, 2017, https://doi.org/10.4271/2017-01-0899.
- US EPA, DOT/NHTSA, “Draft Technical Assessment Report: Midterm Evaluation of Light Duty Vehicle Greenhouse Gas Emission Standards and Corporate Average Fuel Economy Standards for Model Years 2022-2025,” Publication EPA-420-D-16-900, July 2016.