Formula Hybrid SAE
User-friendly tools are needed for undergraduates to learn about component sizing, powertrain integration, and control strategies for student competitions involving hybrid vehicles. A TK Solver tool was developed at the University of Idaho for this purpose. The model simulates each of the dynamic events in the Formula Hybrid Society of Automotive Engineers (FHSAE) competition, predicting average speed, acceleration, and fuel consumption for different track segments. Model inputs included manufacturer's data along with bench tests of electrical and internal combustion (IC) engine components and roll-down data. This vehicle performance model was used to design the 2014 vehicle’s hybrid architecture, determine the energy allocation, and to select the batteries. Model predictions have been validated in full vehicle tests under simulated race conditions. The TK Solver tool has proven effective in making decisions about sizing gasoline and electric power components, establishing an optimal coupling connection between the electric motor and the gasoline engine, selecting and configuring the battery pack, tuning the gasoline engine, and making recommendations for energy management under different driving conditions. The resulting vehicle is being readied to compete in the 2014 FHSAE competition.
- Record URL:
- Record URL:
- Summary URL:
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
National Institute for Advanced Transportation Technology
University of Idaho, Moscow
115 Engineering Physics Building
Moscow, ID United States 83844-0901Research and Innovative Technology Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Rinker, Dylan
- Beyerlein, Steve
- Odom, Edwin
- Hess, Herb
- Publication Date: 2013-9
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Appendices; Figures; Photos; References; Tables;
- Pagination: 69p
Subject/Index Terms
- TRT Terms: Decision support systems; Electric batteries; Hybrid vehicles; Mathematical models; Power train components; Power trains; Vehicle components; Vehicle design; Vehicle tests
- Identifier Terms: Society of Automotive Engineers; University of Idaho
- Subject Areas: Design; Energy; Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;
Filing Info
- Accession Number: 01505736
- Record Type: Publication
- Report/Paper Numbers: KLK908_N13-01, N13-01
- Contract Numbers: DTRT12GUTC17
- Files: UTC, TRIS, RITA, ATRI, USDOT
- Created Date: Jan 27 2014 11:27AM