改进蝙蝠算法在优化PEMFC运行参数研究中的应用

毛逸君, 徐洪涛

太阳能学报 ›› 2024, Vol. 45 ›› Issue (11) : 727-737.

PDF(2590 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(2590 KB)
太阳能学报 ›› 2024, Vol. 45 ›› Issue (11) : 727-737. DOI: 10.19912/j.0254-0096.tynxb.2023-1125

改进蝙蝠算法在优化PEMFC运行参数研究中的应用

  • 毛逸君, 徐洪涛
作者信息 +

APPLICATION OF IMPROVED BAT ALGORITHM IN OPTIMIZATION OF PEMFC OPERATING PARAMETERS

  • Mao Yijun, Xu Hongtao
Author information +
文章历史 +

摘要

质子交换膜燃料电池工况参数的优化具有多维度和非线性的特点,因此该文提出一种改进蝙蝠优化算法对其进行优化。首先,在种群初始化过程中采用Tent混沌映射策略,以提高初始种群遍历性和多样性。其次,通过自适应权重策略提高蝙蝠个体速度动态更新能力,避免算法陷入局部最优,并使用4种标准测试函数验证改进算法的优越性。然后,通过正交实验法和熵权法提出一种新的综合性能评价目标,并将其作为智能算法优化目标。最后,将改进后算法和综合性能评价目标应用于质子交换膜燃料电池运行工况参数的优化模拟。结果表明,对于质子交换膜燃料电池运行参数模拟优化,改进蝙蝠优化算法比原始蝙蝠优化算法的优化结果提高了8.6%,说明改进蝙蝠算法具有更好的精度。

Abstract

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.

关键词

质子交换膜燃料电池 / 数值分析 / 统计学方法 / 蝙蝠算法 / 自适应权重

Key words

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

引用本文

导出引用
毛逸君, 徐洪涛. 改进蝙蝠算法在优化PEMFC运行参数研究中的应用[J]. 太阳能学报. 2024, 45(11): 727-737 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1125
Mao Yijun, Xu Hongtao. APPLICATION OF IMPROVED BAT ALGORITHM IN OPTIMIZATION OF PEMFC OPERATING PARAMETERS[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 727-737 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1125
中图分类号: TM911.4   

参考文献

[1] PRAMUANJAROENKIJ A, KAKAÇ S.The fuel cell electric vehicles: the highlight review[J]. International journal of hydrogen energy, 2023, 48(25): 9401-9425.
[2] ZHANG S Y, XU H T, QU Z G, et al.Bio-inspired flow channel designs for proton exchange membrane fuel cells: a review[J]. Journal of power sources, 2022, 522: 231003.
[3] LI N, WANG W T, XU R Y, et al.Design of a novel nautilus bionic flow field for proton exchange membrane fuel cell by analyzing performance[J]. International journal of heat and mass transfer, 2023, 200: 123517.
[4] 罗熙. 基于电参数的燃料电池寿命测试方法研究[D]. 成都: 电子科技大学, 2019.
LUO X.Research on life test method of fuel cell based on electrical parameters[D]. Chengdu: University of Electronic Science and Technology of China, 2019.
[5] 刘玉峰, 施鲁浩, 杨来顺, 等. 变工况对带涡流发生器的PEMFC性能的影响[J]. 热科学与技术, 2022, 21(4): 347-355.
LIU Y F, SHI L H, YANG L S, et al.Influence of variable operating conditions on performance of PEMFC with vortex generator[J]. Journal of thermal science and technology, 2022, 21(4): 347-355.
[6] 赵鑫, 陈光, 张妍懿. 运行工况对PEMFC性能与水含量的影响分析[J]. 汽车工程, 2022, 44(3): 379-384.
ZHAO X, CHEN G, ZHANG Y Y.An analysis on the effects of operating conditions on the performance and water content of PEMFC[J]. Automotive engineering, 2022, 44(3): 379-384.
[7] 朱京宇, 谈金祝, 孙澳. 阴极相对湿度对质子交换膜燃料电池电化学性能的影响[J]. 南京工业大学学报(自然科学版), 2021, 43(4): 456-460.
ZHU J Y, TAN J Z, SUN A.Effects of cathode relative humidity on the electrochemical performance of proton exchange membrane fuel cell[J]. Journal of Nanjing Tech university (natural science edition), 2021, 43(4): 456-460.
[8] HU D H, WANG Y T, LI J W, et al.Investigation of optimal operating temperature for the PEMFC and its tracking control for energy saving in vehicle applications[J]. Energy conversion and management, 2021, 249: 114842.
[9] HAMRANG A, ABDOLLAHZADEH M, BILONDI A M, et al.Comparison of PEMFC performance with parallel serpentine and parallel serpentine-baffled flow fields under various operating and geometrical conditions; a parametric study[J]. International journal of hydrogen energy, 2023, 48(20): 7442-7459.
[10] 杨子荣, 李岩, 冀雪峰, 等. 质子交换膜燃料电池运行工况参数敏感性分析[J]. 吉林大学学报(工学版), 2022, 52(9): 1971-1981.
YANG Z R, LI Y, JI X F, et al.Sensitivity analysis of operating parameters for proton exchange membrane fuel cells[J]. Journal of Jilin University (engineering and technology edition), 2022, 52(9): 1971-1981.
[11] 仇俊政, 赵红, 牟亮, 等. 基于粒子群PID的质子交换膜燃料电池温度控制[J]. 制造业自动化, 2022, 44(8): 98-101.
QIU J Z, ZHAO H, MOU L, et al.Temperature control of proton exchange membrane fuel cell based on particle swarm optimization PID[J]. Manufacturing automation, 2022, 44(8): 98-101.
[12] CHEN Y, PI D C, WANG B, et al.Bi-subgroup optimization algorithm for parameter estimation of a PEMFC model[J]. Expert systems with applications, 2022, 196: 116646.
[13] DUAN F D, SONG F, CHEN S N, et al.Model parameters identification of the PEMFCs using an improved design of crow search algorithm[J]. International journal of hydrogen energy, 2022, 47(79): 33839-33849.
[14] ZHANG S Y, MAO Y J, LIU F, et al.Multi-objective optimization and evaluation of PEMFC performance based on orthogonal experiment and entropy weight method[J]. Energy conversion and management, 2023, 291: 117310.
[15] DONG P C, XIE G N, NI M.The mass transfer characteristics and energy improvement with various partially blocked flow channels in a PEM fuel cell[J]. Energy, 2020, 206: 117977.
[16] ZHANG S Y, QU Z G, XU H T, et al.A numerical study on the performance of PEMFC with wedge-shaped fins in the cathode channel[J]. International journal of hydrogen energy, 2021, 46(54): 27700-27708.
[17] SEZGIN B, CAGLAYAN D G, DEVRIM Y, et al.Modeling and sensitivity analysis of high temperature PEM fuel cells by using Comsol Multiphysics[J]. International journal of hydrogen energy, 2016, 41(23): 10001-10009.
[18] 梅楠. 梯形流道质子交换膜燃料电池气体流道及冷却流道研究[D]. 镇江: 江苏大学, 2022.
MEI N.Study on gas channel and cooling channel of trapezoidal channel proton exchange membrane fuel cell[D]. Zhenjiang: Jiangsu University, 2022.
[19] 王珂, 张拴羊, 徐洪涛, 等. 基于神经元的PEMFC仿生流道性能模拟研究[J]. 太阳能学报, 2022, 43(6): 454-459.
WANG K, ZHANG S Y, XU H T, et al.Simulation study of bionic channel-inspired of proton exchange membrane fuel cell based on neuron[J]. Acta energiae solaris sinica, 2022, 43(6): 454-459.
[20] LIU H C, YANG W M, TAN J, et al.Numerical analysis of parallel flow fields improved by micro-distributor in proton exchange membrane fuel cells[J]. Energy conversion and management, 2018, 176: 99-109.
[21] YANG X S, HOSSEIN GANDOMI A.Bat algorithm: a novel approach for global engineering optimization[J]. Engineering computations, 2012, 29(5): 464-483.
[22] 黎成. 新型元启发式蝙蝠算法[J]. 电脑知识与技术, 2010, 6(23): 6569-6572.
LI C.A new metaheuristic bat-inspired algorithm[J]. Computer knowledge and technology, 2010, 6(23): 6569-6572.
[23] 谢良波, 李宇洋, 王勇, 等. 基于自适应蝙蝠算法的室内RFID定位算法[J]. 通信学报, 2022, 43(8): 90-99.
XIE L B, LI Y Y, WANG Y, et al.Indoor RFID localization algorithm based on adaptive bat algorithm[J]. Journal on communications, 2022, 43(8): 90-99.
[24] 杨宇伦, 凌铭. 基于改进鸡群优化算法的质子交换膜燃料电池模型参数辨识[J]. 太阳能学报, 2023, 44(2): 269-278.
YANG Y L, LING M.Parameter identification of proton exchange membrane fuel cells model based on improved chicken swarm optimization algorithm[J]. Acta energiae solaris sinica, 2023, 44(2): 269-278.
[25] VALLE J, MACHICAO J, BRUNO O M.Chaotical PRNG based on composition of logistic and tent maps using deep-zoom[J]. Chaos, solitons & fractals, 2022, 161: 112296.
[26] 张佳丹, 顾圣平, 郑斯水, 等. 基于改进蝙蝠算法的梯级水库发电优化调度[J]. 人民黄河, 2020, 42(6): 53-57.
ZHANG J D, GU S P, ZHENG S S, et al.Optimal operation of cascade hydropower station reservoirs based on the improved bat algorithm[J]. Yellow river, 2020, 42(6): 53-57.
[27] 王廷元, 何先波, 贺春林. 一种基于自适应策略的混合鲸鱼优化算法[J]. 西华师范大学学报(自然科学版), 2021, 42(1): 92-99.
WANG T Y, HE X B, HE C L.A hybrid whale optimization algorithm based on adaptive strategy[J]. Journal of China West Normal University (natural sciences), 2021, 42(1): 92-99.
[28] KUMAR R, SINGH S, BILGA P S, et al.Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: a critical review[J]. Journal of materials research and technology, 2021, 10: 1471-1492.
[29] WANG Z, XING X G, YAN F.An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index[J]. Ecological indicators, 2021, 131: 108137.

PDF(2590 KB)

Accesses

Citation

Detail

段落导航
相关文章

/