Hybrid Electric Power System Validation through Parameter Optimization

<p>Battery models can be developed from first principles or from empirical methods. The work presented in this thesis is semi-empirical, the model was validated using test data through parameter optimization. Simulink Parameter Estimation toolbox was used to identify the battery parameters and validate the battery model with test data. Experimental data was obtained by discharging the battery of a modified 2013 Chevrolet Malibu hybrid electric vehicle. The resulting battery model provided accurate simulation results over the validation data. For the constant current discharge, the mean squared error between measured and simulated data was 0.26 volts for the terminal voltage and 6.07e-4 (%) for state of charge. For the extended variable current discharge, the mean squared error between measured and simulated data was 0.21 volts for terminal voltage and 9.25e-4 (%) for state of charge. The validated battery model was implemented in the hybrid electric vehicle model and an optimization routine was conducted in Simulink to validate a launch control strategy. The vehicle model was subject to two maximum acceleration tests from 0-60mph. Test 1 corresponded to a maximum acceleration in EV-only mode and test 2 corresponded to a maximum acceleration in HEV mode or launch control mode. In both tests, the simulated data matched the experimental data with a root mean square error below 0.45 mph for vehicle speed and 3.5 volts for bus voltage.</p>

Name thesis:degree_name

Master of Science in Mechanical Engineering

Level thesis:degree_level

Thesis - Open Access

Discipline thesis:degree_discipline

Mechanical Engineering

Year

2015

Author dc:creator

• Khalifi, Hasnaa

• hybrid electric
• power
• parameter optimization
• Electrical and Computer Engineering
• Power and Energy

Repository record dc:identifier

https://commons.erau.edu/edt/220

OAI identifier oai:identifier

oai:commons.erau.edu:edt-1219