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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.11 P.1878~1885


Simulation and analysis of energy optimization for PEMFC hybrid system

Author(s):  LIU Cheng-ze, ZHU Xin-jian

Affiliation(s):  Department of Automation, Shanghai Jiao Tong University, Shanghai 200030, China

Corresponding email(s):   liucz22@sjtu.edu.cn

Key Words:  PEMFC, Hybrid system, Energy optimization, Fuzzy control

LIU Cheng-ze, ZHU Xin-jian. Simulation and analysis of energy optimization for PEMFC hybrid system[J]. Journal of Zhejiang University Science A, 2006, 7(11): 1878~1885.

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author="LIU Cheng-ze, ZHU Xin-jian",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%T Simulation and analysis of energy optimization for PEMFC hybrid system
%A LIU Cheng-ze
%A ZHU Xin-jian
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1878

T1 - Simulation and analysis of energy optimization for PEMFC hybrid system
A1 - LIU Cheng-ze
A1 - ZHU Xin-jian
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 11
SP - 1878
EP - 1885
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1878

The control objective and several key parameters of PEMFC hybrid system are analyzed. Control strategy design and energy optimization simulation are made individually for given cycle case and realtime operating case. For the given cycle case, genetic algorithm is adopted to solve the multi-constraint combinatorial optimization problem. Simulation result showed the algorithm’s feasibility. As far as the realtime operation is concerned, based on the original fuzzy control strategy, the fuel cell voltage and voltage variance parameters are introduced to apply two-level modification on the fuzzy control output. The result reveals that the improved fuzzy control strategy can enhance the fuel cell efficiency and reduce the power fluctuations.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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