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Real‐time thermal Management of Open‐Cathode PEMFC system based on maximum efficiency control strategy
Author(s) -
Yin Liangzhen,
Li Qi,
Wang Tianhong,
Liu Lu,
Chen Weirong
Publication year - 2019
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2207
Subject(s) - proton exchange membrane fuel cell , stack (abstract data type) , control theory (sociology) , pid controller , trajectory , model predictive control , nonlinear system , computer science , control system , cathode , control engineering , engineering , temperature control , control (management) , fuel cells , electrical engineering , chemical engineering , quantum mechanics , artificial intelligence , astronomy , programming language , physics
Improving the efficiency of the proton exchange membrane fuel cell (PEMFC) system is the main problem should be solved for the commercialization of PEMFC. In this paper, the efficiency characteristic of PEMFC system under load and stack temperature variation is analyzed through theoretical modeling and experimental verification. For high efficiency operation of PEMFC system, the maximum efficiency control strategy (MECS) is proposed for thermal management of PEMFC system. According to the efficiency characteristics of PEMFC system, the optimal efficiency trajectory of system is obtained under maximum efficiency optimization (MEO). As PEMFC system is a nonlinear system with the characteristics of time‐variation, and uncertainty, a constrained generalized predictive control (CGPC) is proposed to realize real‐time optimal efficiency trajectory tracking. The MECS based on MEO and CGPC is implemented on‐line, experimentally validated on the established H‐300 open‐cathode PEMFC system. The experimental result shows better tracking ability compared with PID control and testifies the validity of MECS for increasing the system efficiency. Therefore, the proposed MECS can provide better system dynamic response and higher system efficiency.