Date of Award
4-2019
Degree Name
Master of Science in Engineering
Department
Mechanical and Aerospace Engineering
First Advisor
Dr. Jennifer Hudson
Second Advisor
Dr. Richard Meyer
Third Advisor
Dr. Koorosh Naghshineh
Fourth Advisor
Dr. Zach Asher
Keywords
hybrid electric vehicle, optimal energy management, state of charge, forward-looking, serial-parallel
Access Setting
Masters Thesis-Open Access
Abstract
In today’s sophisticated era of technology, resolving environmental problems is a matter of grave concern. Developing hybrid electric vehicles is a good step towards environmental preservation, since they use less fuel compared to conventional vehicles because of the combination of electric and mechanical energy. A hybrid electric vehicle reduces dependence on fossil fuels and hence lowers emissions. Specifically, a hybrid powertrain that includes a conventional gasoline engine and a brushless DC motor offers great potential to meet stringent CO2 regulations and fuel economy requirements. This thesis focuses on the effects of initial state of charge (SOC) stored in Hybrid Electric Vehicle’s battery that affects engine operation and fuel economy. The battery management system (BMS) that manages the electrical driving machine and generator machine based on vehicle speed and SOC plays a vital role. This thesis focuses on developing an optimal energy management strategy based upon logical operators for a serialparallel HEV considering regenerative braking on flat and hilly terrain. This thesis also emphasizes optimizing engine operation without overrunning the generator machine. The results show that changes in initial SOC affect vehicle speed on hilly terrain; hence keeping SOC at an optimum level along with vehicle speed is necessary to maintain vehicle fuel economy and safety of electrical circuits.
Recommended Citation
Jadhav, Abhijit Bhaskar, "Optimal Energy Management for Forward-Looking Serial-Parallel Hybrid Electric Vehicle Using Rule-Based Control Strategy" (2019). Masters Theses. 4315.
https://scholarworks.wmich.edu/masters_theses/4315