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Abstract: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 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.
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