Performance prediction for a fuel cell air compressor based on the combination of backpropagation neural network optimized by genetic algorithm (GA-BP) and support vector machine (SVM) algorithms

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成果类型：

期刊论文

作者：

Ding, Chenyi;Xia, Yan;Yuan, Zhipeng;Yang, Hanqian;Fu, Jianqin;...

通讯作者：

Yuan, ZP

作者机构：

[Yang, Hanqian; Chen, Zhichao; Yuan, Zhipeng; Ding, Chenyi] Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha 410004, Peoples R China.

[Xia, Yan] Hunan Prov Inst Prod & Goods Qual Inspect, Changsha 410007, Peoples R China.

[Fu, Jianqin] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China.

通讯机构：

[Yuan, ZP ] C

Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha 410004, Peoples R China.

语种：

英文

关键词：

Centrifugal air compressor;Fuel cell;Performance prediction;Backpropagation neural network;Support vector machine;Hybrid model

期刊：

Thermal Science and Engineering Progress

ISSN：

2451-9049

年：

2023

卷：

页码：

102070

DOI：

10.1016/j.tsep.2023.102070

基金类别：

CRediT authorship contribution statement Chenyi Ding: Writing – original draft, Software, Validation. Yan Xia: Resources, acquisition, Project administration. Zhipeng Yuan: Conceptualization, Methodology, Writing – review & editing. Hanqian Yang: Validation. Jianqin Fu: Resources, acquisition. Zhichao Chen: Data curation.

机构署名：

本校为第一且通讯机构

院系归属：

机电工程学院

摘要：

The centrifugal air compressor plays a critical role as a core component in fuel cells, and building an accurate prediction model is essential for evaluating its performance. In this study, three algorithms were used to establish the air compressor performance prediction model based on multiple samples. Through comparing the prediction results, it was found that the backpropagation neural network optimized by genetic algorithm (GA-BP) model fit the real sample data more closely than support vector machine (SVM) and backpropagation neural network (BPNN) models, and could better approximate the ...

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Performance prediction for a fuel cell air compressor based on the combination of backpropagation neural network optimized by genetic algorithm (GA-BP) and support vector machine (SVM) algorithms

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