Output voltage prediction method of fuel cell stack based on KMO-PCA-BP

被引：0

作者：

Hu B. ^{[1
]}

Wang X. ^{[2
]}

Xu L. ^{[3
]}

Su X. ^{[3
,4
]}

机构：

[1] Department of Control Engineering, Xinjiang Institute of Technology, Urumqi

[2] Department of Mathematics and Physics, Xinjiang Institute of Technology, Urumqi

[3] Key Laboratory of Hydrogen Energy Utilization Technology, Xinjiang Institute of Technology, Urumqi

[4] School of Electrical and Mechanical Engineering, Xinjiang Agricultural University, Urumqi

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 03期

关键词：

BP; Fuel cells; Output voltage; PCA; Prediction method; Proton exchange membrane;

D O I：

10.19912/j.0254-0096.tynxb.2022-0066

中图分类号：

学科分类号：

摘要：

The output voltage of the proton exchange membrane fuel cell is an important indicator of the health status and fault diagnosis of fuel cells. It is difficult to accurately predict the effect of the output voltage by parameters such as single cell voltage, operating temperature, gas flow and material flow, etc. For this reason, according to the data set collected by the fuel cell experimental platform, KMO correlation analysis is carried out to verify that the data set is suitable for principal component analysis. We use principal component analysis to reduce the dimensionality of the original data, and determine the 12 principal components that affect the output voltage of the fuel cell, as well as establish a fuel cell output voltage prediction model based on KMO measure (Kaiser Meyer Olkin, KMO)-Principal Component Analysis (PCA)-BP neural network (Back Propagation, BP). And we compared with the BP prediction model to verify the superiority of the algorithm. We use the data sets with an interval of 1 hour and 0.5 hours for comparison and verification to verify the generalization ability of the algorithm. The results of prediction show that the KMO-PCA-BP prediction model can accurately predict the output voltage of the fuel cell stack, and has high prediction accuracy and speed and strong generalization ability. It provides reference for fuel cell stack output voltage prediction, health management and fault diagnosis. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.

引用

页码：12 / 19

页数：7

共 20 条

[1] ZHANG X X, JIANG Y, SUN T F, Et al., Summary of research on water flooding and membrane dry fault diagnosis of proton exchange membrane fuel cells, Journal of Southwest Jiaotong University, 55, 4, pp. 828-838, (2020)
[2] JAVED K, GOURIVEAU R, ZERHOUNI N, Et al., Improving accuracy of long-term prognostics of PEMFC stack to estimate remaining useful life, Proceedings of the 2015 IEEE International Conference on Industrial Technology(ICIT), (2015)
[3] CHEN J Y, ZHOU D, LYU C, Et al., A novel health indicator for PEMFC state of health estimation and remaining useful life prediction, International journal of hydrogen energy, 42, 31, pp. 20230-20238, (2017)
[4] JOUIN M, GOURIVEAU R, HISSEL D, Et al., Joint particle filters prognostics for proton exchange membrane fuel cell power prediction at constant current solicitation, IEEE transactions on reliability, 65, 1, pp. 336-349, (2015)
[5] LI Y K, ZHAO X Q, LIU Z X, Et al., Experimental study on the voltage uniformity for dynamic loading of a PEM fuel cell stack, International journal of hydrogen energy, 40, 23, pp. 7361-7369, (2015)
[6] LIU P C, XU S C., Experimental study on voltage uniformity for proton exchange membrane fuel cell stack, SAE 2020 Vehicle Electrification and Autonomous Vehicle Technology Forum, (2020)
[7] DAI C H, SHI Q, CHEN W R, Et al., Review of the research on the voltage balance of proton exchange membrane fuel cells, Proceedings of the CSEE, 36, 5, pp. 1289-1302, (2016)
[8] ZOU W, FRONING D, SHI Y, Et al., A least-squares support vector machine method for modeling transient voltage in polymer electrolyte fuel cells, Applied energy, 271, (2020)
[9] ZHOU X Y, CHEN X L, LI B, Et al., Durability performance of polymer electrolyte membrane fuel cells under open-circuit voltage, New Energy & Intelligent Connected Vehicle Technology Conference, (2019)
[10] HAN M S, SHUL Y G, LEE H J, Et al., Accelerated testing of polymer electrolyte membranes under open-circuit voltage conditions for durable proton exchange membrane fuel cells, International journal of hydrogen energy, 42, 52, pp. 30787-30791, (2017)

← 1 2 →