This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Benchmarking and Modeling of a Conventional Mid-Size Car Using ALPHA
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 14, 2015 by SAE International in United States
Annotation ability available
The Advanced Light-Duty Powertrain and Hybrid Analysis (ALPHA) tool was created by EPA to evaluate the Greenhouse Gas (GHG) emissions of Light-Duty (LD) vehicles . ALPHA is a physics-based, forward-looking, full vehicle computer simulation capable of analyzing various vehicle types combined with different powertrain technologies. The software tool is a MATLAB/Simulink based desktop application. The ALPHA model has been updated from the previous version to include more realistic vehicle behavior and now includes internal auditing of all energy flows in the model. As a result of the model refinements and in preparation for the mid-term evaluation of the 2017-2025 LD GHG rule, we are revalidating the model with newly acquired vehicle data.
This paper presents the benchmarking, modeling and continued testing of a 2013 Chevy Malibu 1LS. During the initial benchmarking phase, the engine and transmission were removed from the vehicle and tested and evaluated on separate test stands. Data from the benchmarking was provided to the ALPHA model to perform full vehicle simulations over several drive cycles and vehicle road loads. Subsequently, the vehicle was reassembled and underwent further evaluation and testing to refine the inputs to the model. This paper presents the collected data, the methods for developing the model inputs from the data, the results of running the ALPHA model, and the lessons learned during the modeling and assessment activity.
|Journal Article||Development and Testing of an Automatic Transmission Shift Schedule Algorithm for Vehicle Simulation|
|Technical Paper||Neuro-Genetic Optimization of Transmission Ratios for Automotive Performance and Emissions|
CitationNewman, 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.
- 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 10.4271/2013-01-0808
- US EPA, DOT/NHTSA Final Rulemaking to Establish Light-Duty Vehicle Greenhouse Gas Emission Standards and Corporate Average Fuel Economy Standards, Joint Technical Support Document http://www.epa.gov/otaq/climate/regulations/420r10901.pdf Aug. 2012
- Newman , K. , Kargul , J. , and Barba , D. Development and Testing of an Automatic Transmission Shift Schedule Algorithm for Vehicle Simulation SAE Technical Paper 2015-01-1142 2015 10.4271/2015-01-1142
- MSC Software Automotive Chuggle Simulation Using ADAMS http://support.mscsoftware.com/cgi-bin/kb_files/GM_Chuggle_2001_NAUC.pdf?name=ri%2F1-13%2F1-13B2-2141%2FGM_Chuggle_2001_NAUC.pdf
- Meng , Y. , Jennings , M. , Tsou , P. , Brigham , D. et al. Test Correlation Framework for Hybrid Electric Vehicle System Model SAE Int. J. Engines 4 1 1046 1057 2011 10.4271/2011-01-0881
- Moskalik , A. , Dekraker , P. , Kargul , J. , and Barba , D. Vehicle Component Benchmarking Using a Chassis Dynamometer SAE Technical Paper 2015-01-0589 2015 10.4271/2015-01-0589
- Stuhldreher , M. , Schenk , C. , Brakora , J. , Hawkins , D. et al. Downsized boosted engine benchmarking method and results SAE Technical Paper 2015-01-1266 2015 10.4271/2015-01-1266
- Safoutin , M. , Cherry , J. , McDonald , J. , and Lee , S. Effect of Current and SOC on Round-Trip Energy Efficiency of a Lithium-Iron Phosphate (LiFePO4) Battery Pack SAE Technical Paper 2015-01-1186 2015 10.4271/2015-01-1186