Efficiency Enhancement of an Open Cathode Fuel Cell Through a Systemic Management

被引:32
作者
Kandidayeni, Mohsen [1 ]
Macias, Alvaro F. [1 ]
Boulon, Loic [1 ]
Kelouwani, Sousso [2 ]
机构
[1] Univ Quebec Trois Rivieres, Hydrogen Res Inst, Dept Elect & Comp Engn, Trois Rivieres, PQ G8Z 4M3, Canada
[2] Univ Quebec Trois Rivieres, Hydrogen Res Inst, Dept Mech Engn, Trois Rivieres, PQ G9A 5H7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Fuel cell efficiency improvement; fuzzy logic control; optimization; power mapping; systemic management; thermal management strategy; TEMPERATURE CONTROL; PERFORMANCE IMPROVEMENT; ONLINE IDENTIFICATION; PARTICLE SWARM; POWER; OPTIMIZATION; STRATEGY; PARAMETERS; ALGORITHM; TRACKING;
D O I
10.1109/TVT.2019.2944996
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper addresses the design of a systemic management to improve the energetic efficiency of an open cathode proton exchange membrane fuel cell (PEMFC) in a hybrid system. Unlike the other similar works, the proposed approach capitalizes on the usage of both thermal management strategy and current control to meet the requested power from the system by the minimum fuel consumption. To do so, firstly, an experimentally based 3D mapping is performed to relate the requested power form the PEMFC to its operating temperature and current. Secondly, the reference temperature which leads to gaining the demanded power by the minimum current level is determined to minimize the hydrogen consumption. Finally, the temperature control is formulated by an optimized fuzzy logic scheme to reach the determined reference temperature by acting on the cooling fan of the PEMFC system, whilst the current is being regulated by its controller. The inputs of the fuzzy controller are the PEMFC current and temperature error and the sole output is the duty factor of the fan. The proposed methodology is tested on an experimental test bench to be better evaluated in a real condition. The obtained results from the proposed systemic management indicate promising enhancement of the system efficiency compared to a commercial controller. The proposed method of this work is extendable and applicable in fuel cell hybrid electric vehicles.
引用
收藏
页码:11462 / 11472
页数:11
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