Title :
Fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid ship
Author :
Lisi Zhu ; Jingang Han ; Dongkai Peng ; Tianzhen Wang ; Tianhao Tang ; Charpentier, Jean-Frederic
Author_Institution :
Dept. of Electr. Eng. & Autom., Shanghai Maritime Univ., Shanghai, China
Abstract :
In this paper, energy management strategy based on fuzzy logic is proposed for a fuel cell hybrid ship, combining proton exchange membrane fuel cell (PEMFC), battery and ultra-capacitor (UC). This hybrid system aims to optimize power distribution among each energy unit. The simulation model of the fuel cell hybrid power system is established in the MATLAB/SIMULINK simulation environment. The fuzzy logic energy strategy is verified by simulation according to the typical drive cycle of ship. The simulation results show that the proposed energy management strategy is able to satisfy power required by the ship, reduce the dynamic load of fuel cell, maintain the state of charge (SOC) of battery and SOC of the UC, and optimize the performance, fuel economy and efficiency of the hybrid system.
Keywords :
energy management systems; fuzzy logic; hybrid power systems; marine power systems; proton exchange membrane fuel cells; supercapacitors; MATLAB simulation environment; PEMFC; SIMULINK simulation environment; battery hybrid ship; battery state of charge; energy management strategy; fuel cell dynamic load; fuel cell hybrid power system; fuel cell hybrid ship; fuel economy; fuzzy logic; power distribution optimization; proton exchange membrane fuel cell; ultra-capacitor hybrid ship; Batteries; Fuel cells; Fuzzy logic; Hybrid power systems; Marine vehicles; Power generation; System-on-chip; energy management strategy; fuel cell; fuzzy logic; hybrid power system;
Conference_Titel :
Green Energy, 2014 International Conference on
Conference_Location :
Sfax
Print_ISBN :
978-1-4799-3601-4
DOI :
10.1109/ICGE.2014.6835406
