Neural network prediction model for temperature distribution of proton exchange membrane fuel cell membrane electrode assembly

doi:10.19799/j.cnki.2095-4239.2021.0118

Abstract

Abstract:

The temperature distribution on the surface of the membrane electrode assembly of the proton exchange membrane fuel cell will affect the performance, life and reliability of proton exchange membrane fuel cell. In order to investigate the heat transfer of proton exchange membrane fuel cell, a prediction model of the temperature distribution of the membrane electrode assembly based on neural network is proposed. This study selected the radial basis function (RBF) neural network and generalized regression neural network (GRNN), two kinds of neural network, with the location of the current density and temperature point as network input, the different position as network output, the temperature of the parallel port of proton exchange membrane fuel cell, serpentine flow proton exchange membrane fuel cell neural network prediction model is established, respectively. The results showcase the average root mean square error of RBF neural network prediction is 0.464, the average absolute percentage error is 1.179%, the average root mean square error of GRNN neural network prediction is 0.7155, the average absolute percentage error is 2.27%. Compared with GRNN neural network, RBF neural network has higher accuracy. The relative error between the predicted value and the experimental value of 96% for the temperature distribution prediction model based on RBF neural network is within 5%. The relative error between the predicted value and the 95% experimental value of the temperature distribution prediction model based on RBF neural network for the membrane electrode assembly of PEMFC is less than 5%.

Key words: proton exchange membrane fuel cell, membrane electrode temperature distribution, artificial neural network

CLC Number:

TM 911.4

Zhihao LI, Hao PENG, Yaqin CHEN. Neural network prediction model for temperature distribution of proton exchange membrane fuel cell membrane electrode assembly[J]. Energy Storage Science and Technology, 2021, 10(6): 2053-2059.

Figures/Tables 10

References 15

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