Type of Document Master's Thesis Author König, Daniel Hermann Author's Email Address email@example.com URN etd-12142010-034953 Title Optimization of the Control Strategy for a Range Extender Vehicle Degree Master of Science Department Mechanical Engineering Advisory Committee
Advisor Name Title Ferris, John B. Committee Member Nelson, Douglas J. Committee Member Rinderknecht, Stephan Committee Member Winner, Hermann Committee Member Keywords
- control strategy
- range extender
- hybrid vehicle
Date of Defense 2010-12-21 Availability restricted AbstractThe Subject of this work is the optimization of the control stratgy for a Plug-In Range Extender in
order to decrease CO2 emissions with respect to the regulations. Therefore, the vehicle is
equipped with a gasoline combustion engine, a high voltage battery and two electric motors. One
electric motor propells the front axle and the other one is connected to the combustion engine to
generate electric power. The control is restricted by customer requirements due to the concept of
A Model-in-the-Loop is created to simulate the control strategy with support of a battery model.
Therefore, the control strategy is optimized in a Matlab/Simulink environment. The simulation
results are compared to tests on the dynamometer rig. The optimization highly depends on the
specific goal function, which can be a global optimization or a local minimum to balance the State
of Charge. Furthermore, customer related drive cycles are taken into account to analyze the
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