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There is insufficient time within a single technical elective to learn principles of internal combustion engine operation as well as specialized simulation tools such as GT Suite or Kiva. A number of authors have recognized this constraint, and they have structured their internal combustion engine text around use of programming languages such as FORTRAN, C++, and MATLAB®. This paper reports on how the capabilities of MATLAB® have been synergized with learning activities and homework assignments to set the stage for a successful final engine simulation project. The MATLAB® code involved in this effort can accept basic input parameters such as bore, stroke, compression ratio, spark advance, throttle position, RPM, air/fuel equivalence ratio, and volumetric efficiency. The code returns output power and torque using the Wiebe function and bulk temperature. The model uses a two-zone heat release model to predict power, torque, brake specific fuel consumption, and volumetric emissions.

Over the last five years the Vandal Hybrid Racing team at the University of Idaho has developed a compact, lightweight, and mass centralized vehicle design with a rule-based energy management system. Major areas of innovation are a close fitting frame design made possible by the location of major components and engine modifications to improve performance. The innovative design features include a custom designed engine, battery pack and simplistic hybrid coupling system. The vehicle also incorporates a trailing link suspension, and realization of a rule-based Energy Management System (EMS) which determines the power split of the combustion and electric systems. The EMS oversees the operation of the Lynch electric motor and the YZ250F engine that is housed in a custom crankcase. The battery pack can initially store 2 MJ of energy in a single 50 lb. lithium polymer battery pack that is located underneath the cockpit.