APPLICATION OF IMPROVED BAT ALGORITHM IN OPTIMIZATION OF PEMFC OPERATING PARAMETERS

被引：0

作者：

Mao, Yijun ^{[1
]}

Xu, Hongtao ^{[1
]}

机构：

[1] School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 11期

关键词：

adaptive inertia weight; bat algorithm; numerical analysis; proton exchange membrane fuel cell; statistical methods;

D O I：

10.19912/j.0254-0096.tynxb.2023-1125

中图分类号：

学科分类号：

摘要：

For the multi-dimensional and non-linear characteristics of the operating parameters optimization of the proton exchange membrane fuel cell（PEMFC）with the straight channel，this paper proposes an improved bat algorithm（IBA）to optimize it. Firstly，this paper initializes the population with tent map strategy to improve the diversity and ergodicity of the initial population. Secondly，the adaptive inertia weight is used to enhance the dynamic updating ability of individual bat speeds to prevent the algorithm from falling into the local optimum. Four sets of standard test functions verify the superiority of IBA. Then a new comprehensive performance evaluation objective is proposed by the orthogonal experiment method（OEM）and the entropy weight method（EWM），and it is used as the optimization objective of the algorithm. Finally，IBA is applied to simulate and optimize the operating parameters of the PEMFC with the straight channel. The simulation results show that the optimization result of IBA is improved by 8.6% compared with the original bat optimization algorithm，indicating that the IBA has higher solution accuracy for the simulation optimization of operating parameters of the PEMFC. © 2024 Science Press. All rights reserved.

引用

页码：727 / 737

页数：10

共 29 条

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