This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
A Java Implementation of Future Automotive Systems Technology Simulator (FASTSim) Fuel Economy Simulation Code Modules
Technical Paper
2018-01-0412
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Future Automotive Systems Technology Simulator (FASTSim) is a free and open-source tool developed by National Renewable Energy Lab (NREL). Among the attractive capabilities of the FASTSim is that it can perform computationally efficient fuel economy simulations of automotive vehicles with reasonable accuracy for standard or arbitrary drive cycles. The modeling capability includes vehicles with various types of powertrains such as: conventional vehicles (CVs), hybrid-electric vehicles (HEVs), plugin hybrid electric vehicles (PHEVs) and battery-only electric vehicles (BEVs). The public version of FASTSim available from NREL is implemented in Excel, which achieves the goal of good accessibility to a broad audience, but has some limitations, including: i) bottleneck in computations when importing arbitrary drive cycles, ii) slower computations in general than other scripting or programming languages, and iii) less portable to integration with other applications and/or other platforms. This paper documents the development of a free and open-source coding of the fuel economy simulation modules of FASTSim in Java programming language. It is demonstrated that the Java implementation produces the same results (within accuracy limits) as the Excel version for the various types of powertrains, with a test set including thousands of arbitrary drive cycles from California Household Travel Survey (CHTS). The computation speed of the Java implementation was bench-marked at approximately two orders of magnitude faster than the Excel version, which makes the Java implementation convenient for researchers seeking to analyze large sets of arbitrary drive cycles.
Recommended Content
Authors
Citation
Hamza, K., Laberteaux, K., and Willard, J., "A Java Implementation of Future Automotive Systems Technology Simulator (FASTSim) Fuel Economy Simulation Code Modules," SAE Technical Paper 2018-01-0412, 2018, https://doi.org/10.4271/2018-01-0412.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 |
Also In
References
- US Department of Energy http://energy.gov/sites/prod/files/2014/05/f15/52723.pdf 2011
- Laberteaux , K. Hamza , K. A Study on Opportune Reduction in Greenhouse Gas Emissions via Adoption of Electric Drive Vehicles in Light Duty Vehicle Fleets SAE World Congress 2017 Detroit, MI
- Brooker , A , Gonder , J , Wang , L , Wood , E , Lopp , S , and Ramroth , L FASTSim: A Model to Estimate Vehicle Efficiency, Cost and Performance SAE World Congress 2015 Detroit, MI
- US Department of Energy https://energy.gov/eere/vehicles/vehicle-technologies-office-modeling-and-simulation 2014
- National Renewable Energy Laboratory http://www.nrel.gov/transportation/fastsim.html 2014
- Transportation Secure Data Center https://www.nrel.gov/transportation/secure-transportation-data.html 2017
- Argonne National Laboratory https://www.anl.gov/technology/project/autonomie-automotive-system-design 2014
- US Environmental Protection Agency https://www.epa.gov/regulations-emissions-vehicles-and-engines/advanced-light-duty-powertrain-and-hybrid-analysis-alpha#v1.0
- Lee , W. , Choi , D. , and Sunwoo , M. Modelling and Simulation of Vehicle Electric Power System Journal of Power Sources 109 58 66 2002
- An , F. Santini , D. J. and Mass Impacts on Fuel Economies of Conventional vs. Hybrid Electric Vehicles SAE World Congress Detroit, MI 2004
- Granovskii , M. , Dincer , I. , and Rosen , M. Economic and Environmental Comparison of Conventional, Hybrid, Electric and Hydrogen Fuel Cell Vehicles Journal of Power Sources 159 1186 1193 2006
- Samaras , C. and Meisterling , K. Life Cycle Assessment of Greenhouse Gas Emissions from Plug-in Hybrid Vehicles: Implications for Policy Environmental Science and Technology 42 9 3170 3176 2008
- Bradley , T. and Frank , A. Design, Demonstrations and Sustainability Impact Assessments for Plug-In Hybrid Electric Vehicles Renewable and Sustainable Energy Reviews 13 115 128 2009
- Raykin , L. , Roorda , M. , and MacLean , H. Impacts of Driving Patterns on Tank-to-Wheel Energy Use of Plug-In Hybrid Electric Vehicles Transportation Research D 17 243 250 2012
- Karabasoglu , O. and Michalek , J. Influence of Driving Patterns on Life Cycle Cost and Emissions of Hybrid and Plug-In Electric Vehicle Power Trains Energy Policy 60 445 461 2013
- Neubauer , J. Wood , E. and Accounting for Driver Aggression in the Simulation of Conventional and Advanced Vehicles SAE World Congress 2013 Detroit, MI
- Hamza , K. and Laberteaux , K. An Energy Reallocation Model for Estimation of Equivalent Greenhouse Gas Emissions of Various Charging Behaviors of Plugin Hybrid Electric Vehicles SAE International Journal of Alternative Powertrains 5 139 147 2016
- Laberteaux , K. Hamza , K. and Highlighting the Differential Benefit in Greenhouse Gas Reduction via Adoption of Plugin Hybrid Vehicles for Different Patterns of Real Driving SAE World Congress 2017 Detroit, MI
- Hamza , K. and Laberteaux , K. A Cluster Analysis Study of Opportune Adoption of Electric Drive Vehicles for Better Greenhouse Gas Reduction ASME IDETC 2016 Charlotte, NC
- http://fastsimjava.khamza.org 2018
- National Renewable Energy Laboratory https://www.nrel.gov/transportation/transportationdata/docs/caltrans_data_dictionary.doc 2013
- US Environmental Protection Agency http://www.epa.gov/nvfel/testing/dynamometer.htm