APPLICATION OF IMPROVED BAT ALGORITHM IN OPTIMIZATION OF PEMFC OPERATING PARAMETERS

Mao Yijun; Xu Hongtao

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

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 727-737. DOI: 10.19912/j.0254-0096.tynxb.2023-1125

APPLICATION OF IMPROVED BAT ALGORITHM IN OPTIMIZATION OF PEMFC OPERATING PARAMETERS

Mao Yijun, Xu Hongtao

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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.

Key words

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

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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

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