Title :
Light Fuel-Cell Hybrid Electric Vehicles Based on Predictive Controllers
Author :
Na, Woonki ; Park, Taesik ; Kim, Taehyung ; Kwak, Sangshin
Author_Institution :
Dept. of Electr. & Comput. Eng., Bradley Univ., Peoria, IL, USA
Abstract :
This paper presents a predictive control-based fuel-cell hybrid electric vehicle system. Employing hybrid power sources, an ultracapacitor (UC), and a battery, the hybrid system maximizes the energy efficiency and protects the battery while achieving faster torque response based on predictive controllers residing in the boost converter, UC manager, and motor drive. The predictive controller implemented in the brushless dc (BLDC) motor drive improves the motor current response. Overall, the proposed hybrid system improves the dc-bus current response, and, hence, motor torque response, compared with a conventional proportional-integral (PI) controller-based system. The effectiveness of the proposed system has been verified through simulation and experiment.
Keywords :
DC motor drives; PI control; brushless DC motors; fuel cell vehicles; hybrid electric vehicles; power convertors; predictive control; PI control; UC manager; boost converter; brushless dc motor drive; energy efficiency; hybrid power sources; light fuel-cell hybrid electric vehicles; motor current response; motor torque response; predictive controllers; proportional-integral controller-based system; ultracapacitor; Batteries; Control systems; Converters; Fuel cells; Inductors; Motor drives; Voltage control; Fuel cells; hybrid power systems; predictive control;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2010.2087045