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WU Ziqiang,WANG Wei,HUANG Liang,XIE Changjun.Bi-objective Optimization for Steady-state Output Power and Efficiency of Fuel Cell[J].JOURNAL OF POWER SUPPLY,2019,17(2):32-39
Bi-objective Optimization for Steady-state Output Power and Efficiency of Fuel Cell
Received:November 29, 2018  Revised:March 28, 2019
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DOI:10.13234/j.issn.2095-2805.2019.2.32
Keywords:fuel cell system  steady-state output power and efficiency  differential evolution algorithm  bi-objective optimization
Fund Project:This research was supported by the National Natural Science Foundation of China (51477125), the Hubei Science Fund for Distinguished Young Scholars (2017CFA049), and the Hubei province technological innovation major project (2018AAA059).
           
AuthorInstitutionEmail
WU Ziqiang Wuhan University of Technology, Wuhan , China
WANG Wei Wuhan University of Technology, Wuhan , China
HUANG Liang Wuhan University of Technology, Wuhan , China
XIE Changjun Wuhan University of Technology, Wuhan , China
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Abstract:
      At present, the research on the fuel cell performance basically focuses on analyzing one single objective of the fuel cell, which may lead to significant deviation of other important parameters and affect the performance of the fuel cell system. Moreover, for a power generation device, its power and efficiency are an inseparable pair of important parameters. In this paper, a bi-objective optimization algorithm for the steady-state output power and efficiency of a fuel cell system is proposed. The relationship between the steady-state output power and efficiency of a fuel cell and the influencing variables is obtained through the model analysis. On this basis, a control method for these variables is used to achieve the optimal output power and efficiency. However, due to the system's complex non-linearity, an adaptive differential evolution multi-objective optimization algorithm with constraint mechanism is adopted in simulations to realize the optimization of objectives.
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