基于I-V曲线的PEMFC膜电极衰退指标非线性最小二乘拟合方法

吴凡; 余婉秋; 王林辉; 王雅东; 徐佳宇; 詹志刚

doi:10.19912/j.0254-0096.tynxb.2025-0653

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

基于I-V曲线的PEMFC膜电极衰退指标非线性最小二乘拟合方法

更新时间：2026-10-15

- 基于I-V曲线的PEMFC膜电极衰退指标非线性最小二乘拟合方法
- Vol. 47, Issue 9, Pages: 107-113(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2025-0653
  CLC： TM911
- Online First：10 October 2026，
  
  Published：2026
- 稿件说明：
移动端阅览
吴凡, 余婉秋, 王林辉, et al. 基于I-V曲线的PEMFC膜电极衰退指标非线性最小二乘拟合方法[J]. 2026, 47(9): 107-113.
DOI：

吴凡, 余婉秋, 王林辉, et al. 基于I-V曲线的PEMFC膜电极衰退指标非线性最小二乘拟合方法[J]. 2026, 47(9): 107-113. DOI： 10.19912/j.0254-0096.tynxb.2025-0653.

摘要

提出一种基于I-V曲线的质子交换膜燃料电池（PEMFC）膜电极（MEA）衰退指标非线性分析方法

以满足PEMFC健康状态监测的需求。该方法可在无需额外电化学测试的情况下

通过最小二乘逼近法实时提取电池关键性能参数

包括电化学活性面积（SECSA）、氢气渗透电流（iH2）、极限电流（ilim）与高频电阻（RHFR）等。基于0~6000 h单电池运行实验数据进行分析

验证方法的可行性与有效性。结果表明

在0~4000 h阶段

该方法具有较高拟合精度

但在5000~6000 h

由于膜材料的衰退加剧与测试时间差

iH2的拟合误差较大

但该方法可在实际应用中实时获取MEA的衰退状态。

Abstract

A nonlinear analysis method based on - curves is proposed to assess membrane electrode assembly （MEA） degradation in a proton exchange membrane fuel cell （PEMFC）

aiming to meet the growing demand for health monitoring. This method enables real-time extraction of key performance parameters-electrochemically active surface area （）

hydrogen crossover current （）

limiting current （）

and high-frequency resistance （）—without additional electrochemical tests. By employing a nonlinear least squares fitting method

the degradation parameters are identified directly from curve data. The feasibility and effectiveness of the proposed method are validated using the data from a single-cell PEMFC tested over 6000 hours. During the 04000 h period

the model shows high fitting accuracy

while during the 50006000 h period

intensified membrane degradation and measurement time lag lead to an increased fitting error in . Despite this

the method remains effective for real-time evaluation of MEA degradation in practical PEMFC applications

and can be extended to evaluate single cells in a stack

thereby enabling online testing and assessment of the overall stack health condition.

关键词

Keywords

references

杨卫战, 谈金祝, 刘嘉然, 等. 模拟PEM燃料电池环境下质子交换膜损伤研究[J]. 太阳能学报, 2022, 43(9): 493-498.

Zhang T, Wang P Q, Chen H C, et al.A review of automotive proton exchange membrane fuel cell degradation under start-stop operating condition[J]. Applied Energy, 2018, 223: 249-262.

Yu X Z, Zhang C Z, Fan M, et al.Experimental study of dynamic performance of defective cell within a PEMFC stack[J]. International Journal of Hydrogen Energy, 2022, 47(13): 8480-8491.

Xu M J, Jin Z, Xiao M L, et al.Influence of compression effect on the MEA structure and performance based on M-N-C electrocatalysts for PEMFC[J]. International Journal of Hydrogen Energy, 2024, 86: 976-984.

Chen D F, Pei P C, Li Y H, et al.Proton exchange membrane fuel cell stack consistency: evaluation methods, influencing factors, membrane electrode assembly parameters and improvement measures[J]. Energy Conversion and Management, 2022, 261: 115651.

Yin T H, Chen D F, Hu T, et al.Experimental investigation and comprehensive analysis of performance and membrane electrode assembly parameters for proton exchange membrane fuel cell at high operating temperature[J]. Energy Conversion and Management, 2024, 315: 118740.

Jayawickrama S M, Fujigaya T.Effect of polymer-coating on carbon blacks for Pt utilization efficiency of polymer electrolyte membrane fuel cells[J]. Journal of Power Sources, 2021, 482: 228932.

Öztürk Aydın A, Bayrakçeken A.Heat-treated microporous Black Pearl 2000 carbon black as platinum catalyst support in the PEMFC cathode electrode[J]. Applied Surface Science, 2025, 703: 163395.

许丽凤, 谈金祝, 李易惠子, 等. 阴极Mg2+污染物对PEMFC电化学性能及电化学阻抗影响[J]. 太阳能学报, 2024, 45(3): 269-276.

Pei P C, Wu Z Y, Li Y H, et al.Improved methods to measure hydrogen crossover current in proton exchange membrane fuel cell[J]. Applied Energy, 2018, 215: 338-347.

Ren P, Pei P C, Chen D F, et al.Novel analytic method of membrane electrode assembly parameters for fuel cell consistency evaluation by micro-current excitation[J]. Applied Energy, 2022, 306: 118068.

朱显辉, 高彬, 师楠, 等. 基于Bezier曲线的薄膜太阳电池参数逆最小二乘辨识[J]. 太阳能学报, 2023, 44(6): 204-212.

Silva Crivellari A L, Ferreira Leão A S L, dos Santos B F Jr, et al. Comparative analysis between recursive least squares state space (RLSS) and nonlinear least squares (NLS) methods for parameter identification in buck converters applied to solar energy systems[J]. International Journal of Circuit Theory and Applications, 2025, 53(10): 6059-6074.

Downey A, Lui Y H, Hu C, et al.Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds[J]. Reliability Engineering & System Safety, 2019, 182: 1-12.

Harzer G S.Boosting high current density performance of durable, low Pt-loaded PEM fuel cells [D]. München: Technische Universität München, 2018.

Ren P, Pei P C, Li Y H, et al.Degradation mechanisms of proton exchange membrane fuel cell under typical automotive operating conditions[J]. Progress in Energy and Combustion Science, 2020, 80: 100859.

Zhao Y, Luo M J, Yang J W, et al.Numerical analysis of PEMFC stack performance degradation using an empirical approach[J]. International Journal of Hydrogen Energy, 2024, 56: 147-163.

Chen H, Zhan Z G, Jiang P X, et al.Whole life cycle performance degradation test and RUL prediction research of fuel cell MEA[J]. Applied Energy, 2022, 310: 118556.

Zihrul P, Hartung I, Kirsch S, et al.Voltage cycling induced losses in electrochemically active surface area and in H2/air-performance of PEM fuel cells[J]. Journal of the Electrochemical Society, 2016, 163(6): F492-F498.

Xie R Y, Ma R, Pu S C, et al.Prognostic for fuel cell based on particle filter and recurrent neural network fusion structure[J]. Energy and AI, 2020, 2: 100017.

Sharma R, Gyergyek S, Li Q F, et al.Evolution of the degradation mechanisms with the number of stress cycles during an accelerated stress test of carbon supported platinum nanoparticles[J]. Journal of Electroanalytical Chemistry, 2019, 838: 82-88.

Pei P C, Chen D F, Wu Z Y, et al.Nonlinear methods for evaluating and online predicting the lifetime of fuel cells[J]. Applied Energy, 2019, 254: 113730.

Du Q, Zhan Z G, Wen X F, et al.A hybrid model to assess the remaining useful life of proton exchange membrane fuel cells[J]. Processes, 2023, 11(5): 1583.

Rahman M A, Mojica F, Sarker M, et al.Development of 1-D multiphysics PEMFC model with dry limiting current experimental validation[J]. Electrochimica Acta, 2019, 320: 134601.

Zhang H, Zhu L J, Harandi H B, et al.Microstructure reconstruction of the gas diffusion layer and analyses of the anisotropic transport properties[J]. Energy Conversion and Management, 2021, 241: 114293.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

大型海上风电机组结构在风波联合作用下的非线性动力响应分析

考虑桨距角的风力发电机组叶根螺栓的疲劳计算方法

基于BES-BP-PID的PEMFC热管理系统温度控制

水下无人平台用氢燃料电池流道仿真研究

基于DWT-LSTM混合驱动方法的PEMFC多步提前老化预测

Related Author

林仁

陈俊岭

冯又全

刘兆

张云飞

张子潼

张雪霞

陈维荣

Related Institution

School of Mechanical and Electronic Engineering, Wuhan University of Technology

Faculty of Chemical Engineering, University of Petroleum

State Key Laboratory of Heavy Oil Processing, University of Petroleum

Military-Power Pivot Laboratory of General Staff Communication Agency,Chongqing Communication Institute of PLA

Hunan Engineering Research Center of New Energy Vehicle Lightweight

AI问答

⁰