上海交通大学学报 ›› 2026, Vol. 60 ›› Issue (2): 289-299.doi: 10.16183/j.cnki.jsjtu.2024.110
收稿日期:2024-04-02
修回日期:2024-05-27
接受日期:2024-07-11
出版日期:2026-02-28
发布日期:2026-03-06
通讯作者:
连冠
E-mail:guan.lian@outlook.com.
作者简介:王阳达(1998—),硕士生,从事燃料电池系统可靠性研究.
基金资助:
WANG Yangda1, WANG Jianguo2, LIAN Guan3(
), ZHANG Dacheng1
Received:2024-04-02
Revised:2024-05-27
Accepted:2024-07-11
Online:2026-02-28
Published:2026-03-06
Contact:
LIAN Guan
E-mail:guan.lian@outlook.com.
摘要:
为研究直接甲醇燃料电池(DMFC)在全球统一轻型车辆测试循环(WLTC)和中国轻型汽车测试循环(CLTC)两种不同工况下的性能退化特征,采用极化曲线、等效电路模型和弛豫时间分布(DRT)相结合的方法分析DMFC的退化特征.根据波形演变,利用电化学阻抗谱计算DRT,表征DMFC各极化过程中的退化.结果表明:在WLTC工况下性能的衰退要大于CLTC工况.两种工况下,传质过程阻碍都对DMFC性能退化起主导作用,传质过程阻碍变化率在WLTC工况下为2.39 mΩ/h,CLTC工况下为0.764 mΩ/h;氧还原反应阻碍不受工况影响.在CLTC工况下,其显著的动态波动性和丰富的瞬态工况对质子传输构成较大阻碍,有效降低膜结合水含量,但对传质阻碍的影响较小,促进了氧气扩散速率的提升.根据氧还原反应阻碍的弛豫时间分布,建立一个燃料电池退化模型用于表征DMFC的健康状态,为DMFC运行中的健康状态评估提供了参考.
中图分类号:
王阳达, 王建国, 连冠, 张大骋. 基于弛豫时间的不同工况下直接甲醇燃料电池性能退化分析[J]. 上海交通大学学报, 2026, 60(2): 289-299.
WANG Yangda, WANG Jianguo, LIAN Guan, ZHANG Dacheng. Performance Degradation Analysis of DMFC Under Different Operating Conditions Based on Relaxation Times[J]. Journal of Shanghai Jiao Tong University, 2026, 60(2): 289-299.
| [1] |
KHAN M I, SHANABLEH A, SHAHIDA S, et al. SPEEK and SPPO blended membranes for proton exchange membrane fuel cells[J]. Membranes, 2022, 12(3): 263.
doi: 10.3390/membranes12030263 URL |
| [2] |
ROSLI R E, SULONG A B, DAUD W R W, et al. A review of high-temperature proton exchange membrane fuel cell (HT-PEMFC) system[J]. International Journal of Hydrogen Energy, 2017, 42(14): 9293-9314.
doi: 10.1016/j.ijhydene.2016.06.211 URL |
| [3] |
NG W W, THIAM H S, PANG Y L, et al. A state-of-art on the development of nafion-based membrane for performance improvement in direct methanol fuel cells[J]. Membranes, 2022, 12(5): 506.
doi: 10.3390/membranes12050506 URL |
| [4] |
THOMPSON S T, JAMES B D, HUYA-KOUADIO J M, et al. Direct hydrogen fuel cell electric vehicle cost analysis: System and high-volume manufacturing description, validation, and outlook[J]. Journal of Power Sources, 2018, 399: 304-313.
doi: 10.1016/j.jpowsour.2018.07.100 URL |
| [5] |
JOUIN M, BRESSEL M, MORANDO S, et al. Estimating the end-of-life of PEM fuel cells: Guidelines and metrics[J]. Applied Energy, 2016, 177: 87-97.
doi: 10.1016/j.apenergy.2016.05.076 URL |
| [6] |
LIN R, LI B, HOU Y P, et al. Investigation of dynamic driving cycle effect on performance degradation and micro-structure change of PEM fuel cell[J]. International Journal of Hydrogen Energy, 2009, 34(5): 2369-2376.
doi: 10.1016/j.ijhydene.2008.10.054 URL |
| [7] |
SCHMITTINGER W, VAHIDI A. A review of the main parameters influencing long-termperformance and durability of PEM fuel cells[J]. Journal of Power Sources, 2008, 180(1): 1-14.
doi: 10.1016/j.jpowsour.2008.01.070 URL |
| [8] |
WEI P, SUI Y, LI X, et al. Sandwich-structure PI/SPEEK/PI proton exchange membrane developed for achieving the high durability on excellent proton conductivity and stability[J]. Journal of Membrane Science, 2022, 644: 120116.
doi: 10.1016/j.memsci.2021.120116 URL |
| [9] | WANG Y M, JIANG Y T, LIAO J H, et al. Enhancing voltage reversal tolerance of proton exchange membrane fuel cells by tuning the microstructure of IrOx catalysts[J]. ACS Applied Materials & Interfaces, 2022, 14(51): 56867-56876. |
| [10] |
SHEN J, DU C Q, YAN F W, et al. Two parameters identification for polarization curve fitting of PEMFC based on genetic algorithm[J]. International Journal of Energy Research, 2022, 46(7): 9621-9633.
doi: 10.1002/er.v46.7 URL |
| [11] |
BRAZ B A, MOREIRA C S, OLIVEIRA V B, et al. Electrochemical impedance spectroscopy as a diagnostic tool for passive direct methanol fuel cells[J]. Energy Reports, 2022, 8: 7964-7975.
doi: 10.1016/j.egyr.2022.06.045 URL |
| [12] | KIM T, KIM H, HA J, et al. A degenerated equivalent circuit model and hybrid prediction for state-of-health (SOH) of PEM fuel cell[C]// 2014 International Conference on Prognostics and Health Management. Cheney, USA: IEEE, 2014: 1-7. |
| [13] | HSUEH K L, LAI C M, HWANG C P, et al. Electrochemical impedance spectroscopy of direct methanol fuel cell[J]. ECS Transactions, 2006, 1(6): 323-330. |
| [14] |
REZAEI NIYA S M, HOORFAR M. Process modeling of electrodes in proton exchange membrane fuel cells[J]. Journal of Electroanalytical Chemistry, 2015, 747: 112-122.
doi: 10.1016/j.jelechem.2015.04.015 URL |
| [15] |
RUAN K F, YANG L L, SUN H, et al. Distribution of relaxation times: A method for measuring air flow distribution in high-temperature proton exchange membrane fuel cell stacks[J]. Journal of Power Sources, 2022, 523: 231000.
doi: 10.1016/j.jpowsour.2022.231000 URL |
| [16] | 王佳, 黄秋安, 李伟恒, 等. 电化学阻抗谱弛豫时间分布基础[J]. 电化学, 2020, 26(5): 607-627. |
| WANG Jia, HUANG Qiu’an, LI Weiheng, et al. Fundamentals of distribution of relaxation times for electrochemical impedance spectroscopy[J]. Journal of Electrochemistry, 2020, 26(5): 607-627. | |
| [17] | 张雪霞, 黄平, 蒋宇, 等. 动态机车工况下质子交换膜燃料电池电堆衰退性能分析[J]. 电工技术学报, 2022, 37(18): 4798-4806. |
| ZHANG Xuexia, HUANG Ping, JIANG Yu, et al. Degradation performance analysis of proton exchange membrane fuel cell stack under dynamic locomotive conditions[J]. Transactions of China Electrotechnical Society, 2022, 37(18): 4798-4806. | |
| [18] |
CHEN Z K, HUANG Z, CHEN Y F, et al. Multi-impedance distribution of relaxation times applied to predicting fuel cell stack operating state: A theoretical and experimental study[J]. International Journal of Electrochemical Science, 2022, 17(9): 220937.
doi: 10.20964/2022.09.32 URL |
| [19] |
YUAN H, DAI H F, MING P W, et al. Quantitative analysis of internal polarization dynamics for polymer electrolyte membrane fuel cell by distribution of relaxation times of impedance[J]. Applied Energy, 2021, 303: 117640.
doi: 10.1016/j.apenergy.2021.117640 URL |
| [20] |
ZHAO Z G, ZHANG F, ZHANG Y H, et al. Performance optimization of μDMFC with foamed stainless steel cathode current collector[J]. Energies, 2021, 14(20): 6608.
doi: 10.3390/en14206608 URL |
| [21] | 薛瑞. 微型直接甲醇燃料电池高浓度传质阻挡层技术研究[D]. 哈尔滨: 哈尔滨工业大学, 2019. |
| XUE Rui. Research on high-concentration mass transfer barrier technology for micro direct methanol fuel cells[D]. Harbin: Harbin Institute of Technology, 2019. | |
| [22] | 靖春胜, 张铁臣, 于镒隆, 等. 基于NEDC和WLTC工况循环的混合动力汽车排放特性研究[J]. 河北工业大学学报, 2021, 50(4): 51-56. |
| JING Chunsheng, ZHANG Tiechen, YU Yilong, et al. Study on emission characteristics of hybrid electric vehicle based on NEDC and WLTC working cycle[J]. Journal of Hebei University of Technology, 2021, 50(4): 51-56. | |
| [23] | 苏雨临, 连冠, 张大骋. 等效电路模型法预测动态工况下微型直接甲醇燃料电池剩余使用寿命[J]. 上海交通大学学报, 2024, 58(10): 1575-1584. |
| SU Yulin, LIAN Guan, ZHANG Dacheng. Equivalent circuit model-based prognostics for micro direct methanol fuel cell under dynamic operating conditions[J]. Journal of Shanghai Jiao Tong University, 2024, 58(10): 1575-1584. | |
| [24] |
LIU Y, WU Z X, ZHOU H, et al. Development of China light-duty vehicle test cycle[J]. International Journal of Automotive Technology, 2020, 21(5): 1233-1246.
doi: 10.1007/s12239-020-0117-5 |
| [25] |
DHIRDE A M, DALE N V, SALEHFAR H, et al. Equivalent electric circuit modeling and performance analysis of a PEM fuel cell stack using impedance spectroscopy[J]. IEEE Transactions on Energy Conversion, 2010, 25(3): 778-786.
doi: 10.1109/TEC.2010.2049267 URL |
| [26] | PASTOR-FERNÁNDEZ C, DHAMMIKA WIDANAGE W, MARCO J, et al. Identification and quantification of ageing mechanisms in lithium-ion batteries using the EIS technique[C]// 2016 IEEE Transportation Electrification Conference and Expo. Dearborn, USA: IEEE, 2016: 1-6. |
| [27] |
YUAN T, ZOU Z Q, CHEN M, et al. New anodic diffusive layer for passive micro-direct methanol fuel cell[J]. Journal of Power Sources, 2009, 192(2): 423-428.
doi: 10.1016/j.jpowsour.2009.03.032 URL |
| [28] |
ZHU Y L, GAO L, LI J Y. A novel button-type micro direct methanol fuel cell with graphene diffusion layer[J]. Micromachines, 2019, 10(10): 658.
doi: 10.3390/mi10100658 URL |
| [29] |
YUAN T, YANG J, WANG Y L, et al. Anodic diffusion layer with graphene-carbon nanotubes composite material for passive direct methanol fuel cell[J]. Electrochimica Acta, 2014, 147: 265-270.
doi: 10.1016/j.electacta.2014.09.124 URL |
| [30] | GUO J W, MAO Z Q, XU J M. Studies on the electrochemical behavior of polymer electrolyte membrane fuel cell (PEMFC) by AC impedance method[J]. Chemical Journal of Chinese Universities, 2003, 24(8): 1477-1481. |
| [31] |
ZHU D, MA T C, YANG Y B. Optimization and application of the distribution of relaxation times based on characteristic frequency resolution and hyperparameters[J]. Journal of Power Sources, 2022, 545: 231955.
doi: 10.1016/j.jpowsour.2022.231955 URL |
| [32] |
WAN T H, SACCOCCIO M, CHEN C, et al. Influence of the discretization methods on the distribution of relaxation times deconvolution: Implementing radial basis functions with DRT tools[J]. Electrochimica Acta, 2015, 184: 483-499.
doi: 10.1016/j.electacta.2015.09.097 URL |
| [33] | 袁浩, 戴海峰, 杜润本, 等. 质子交换膜燃料电池电化学阻抗谱弛豫时间分布研究[J]. 机械工程学报, 2020, 56(22): 120-130. |
| YUAN Hao, DAI Haifeng, DU Runben, et al. Distribution of relaxation times analysis of proton exchange membrane fuel cell electrochemical impedance spectra[J]. Journal of Mechanical Engineering, 2020, 56(22): 120-130. | |
| [34] |
WEIß A, SCHINDLER S, GALBIATI S, et al. Distribution of relaxation times analysis of high-temperature PEM fuel cell impedance spectra[J]. Electrochimica Acta, 2017, 230: 391-398.
doi: 10.1016/j.electacta.2017.02.011 URL |
| [35] | 陈丽丽, 曾东荣, 刘锋. 质子交换膜燃料电池电堆故障研究[J]. 广东化工, 2022, 49(21): 35-37. |
| CHEN Lili, ZENG Dongrong, LIU Feng. Failure research of proton exchange membrane fuel cell stack[J]. Guangdong Chemical Industry, 2022, 49(21): 35-37. |
| [1] | 苏雨临, 连冠, 张大骋. 等效电路模型法预测动态工况下微型直接甲醇燃料电池剩余使用寿命[J]. 上海交通大学学报, 2024, 58(10): 1575-1584. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||