Hybrid Vehicle Control and Testing

Hybrid Vehicle Control and Testing

Advised by Professor Peter H. Meckl, Herrick Lab, Purdue University, Jan 2019 ~ May 2019


The hybrid electric vehicle utilizes three certain power management strategies to reduce the fuel consumption and increase the power efficiency. The hybrid electric vehicle has three behaviors of the three power management strategies, including Regression Modeling for Implementation, Equivalent Consumption Minimization Strategy and Proportional State-of-Charge Algorithm. I performed experiments on actual vehicles, collected experimental data and wrote MATLAB code to process the data. I compared them in whole driving cycle and in a certain short time interval, in terms of the torque at wheel provided by both Electric Motor and Internal Combustion Engine and the total power of both Electric Motor and Internal Combustion Engine. I modified and refined the MATLAB Simulink Torque Calibration code to solve the problem that the torque at wheel by EM would be set to 0 and EM provided negative torque whenever the braking happened. Finally, total energy and fuel consumption for the whole driving cycle are compared among the three strategies.

Calculation of Energy from Electric Motor and Energy from Internal Combustion Engine (MATLAB Simulink)

Outputs of Power from Internal Combustion and Power from Electric Motor in Torque Request Coordination (MATLAB Simulink)

State-of-Charge Calculator outputs Torque of Electric Motor from Wheel in Total (MATLAB Simulink)

Power Consumption of One of The Three Power Management Strategies (Dynamic Program) During the Testing Process