Research on power operation typical characteristic state of proton exchange membrane fuel cell based on principal component analysis

被引:0
|
作者
Qiu, Yuqi [1 ]
Tian, Jiyang [2 ]
Zhang, Caizhi [1 ]
Zhang, Deyin [3 ]
Wang, Gucheng [4 ]
Chen, Leyuan [1 ]
Fu, Zuhang [1 ]
Li, Feiqiang [5 ]
机构
[1] Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing Automot Collaborat Innovat Ctr, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China
[2] Grirem Adv Mat Co Ltd, Natl Engn Res Ctr Rare Earth, Beijing 100088, Peoples R China
[3] Univ Sci & Technol Beijing, Inst Adv Mat & Technol, Beijing 100083, Peoples R China
[4] Temasek Polytech, Clean Energy Res Ctr, Singapore, Singapore
[5] Beijing SinoHytec Co Ltd, Beijing 100192, Peoples R China
基金
中国国家自然科学基金;
关键词
Dynamic response; Quick evaluation; Data dimensionality reduction; Empirical model; Health state; DYNAMIC PERFORMANCE; TRANSIENT-RESPONSE; EXCESS RATIO; PEMFC; PRESSURE; IDENTIFICATION; SYSTEM; STOICHIOMETRY; STARVATION; HYDROGEN;
D O I
10.1016/j.ijhydene.2024.09.076
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The stability, reliability, and lifespan of proton exchange membrane fuel cells (PEMFCs) are closely related to power dynamic response. Therefore, it is necessary to study in depth the relationship between the power operation state and typical characteristics. In this paper, the fuel cell system (FCS) power dynamic response based on constant power change amplitude and various power change amplitude is analyzed. Then, three typical power characteristics of the FCS, namely, low single-cell voltage, drastic voltage uniformity change, voltage undershoot and voltage overshoot, are investigated. Furthermore, to solve the high-dimensional datasets problem, a quick evaluation method based on data dimensionality reduction (DDR) is proposed. The innovation of this method is based on principal component analysis to extract typical characteristic relationships of power operation levels. The results demonstrate that the extracted new one-dimensional (1-D) eigenvectors index exhibits a positive correlation with power levels. Meanwhile, the power operation state empirical model is established through data regression. The Pearson coefficients of the empirical model are all greater than 0.9981. Thus, the new index and proposed method offer novel insights for improving the power adaptive control of fuel cells and quickly assessing their health state.
引用
收藏
页码:810 / 821
页数:12
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