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.
Technovations in Transportation
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