Title :
A real-time optimization control strategy for power management in fuel cell/battery hybrid power sources
Author :
Li, Chun-Yan ; Zheng, Geng ; Liu, Guo-Ping
Author_Institution :
Inst. of Autom., Beijing, China
Abstract :
The power management strategy can greatly affect the fuel economy of hybrid power systems. This work presents an optimization based power management strategy of hybrid fuel cell power sources during real-time operation. In this approach, local optimization strategy is adopted because it doesn´t need the priori knowledge of the future power demand. Every step, the current power demand is measured and the real-time optimal power distribution is determined by maximizing the efficiency of the hybrid system. Simulation and experimental results are presented to show that this real-time power management optimization strategy is feasible and can provide good fuel economy.
Keywords :
automotive electrics; battery powered vehicles; fuel cell vehicles; fuel economy; hybrid power systems; machine control; optimal control; power control; battery hybrid power sources; fuel cell hybrid power sources; fuel economy; hybrid fuel cell power source; power demand; power management; real-time optimal power distribution; real-time optimization control strategy; Batteries; Fuels; Load modeling; MATLAB; Mathematical model; Optimization; System-on-a-chip; Fuel cell hybrid; Power management; Real-time optimization;
Conference_Titel :
Control (CONTROL), 2012 UKACC International Conference on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4673-1559-3
Electronic_ISBN :
978-1-4673-1558-6
DOI :
10.1109/CONTROL.2012.6334742