以质子交换膜燃料电池(PEMFC)准二维多物理域模型为研究对象,运用控制变量法研究模型结构与仿真配置对仿真速率的影响规律,通过物理量分布特性验证模型稳态预测性能,并探究负载加载幅度与速度对模型动态响应的作用规律。结果表明,多孔层一体化简化策略、减少流道分段数、加大步长及快速加速模式可有效提升仿真速率(15 s仿真时间、耗时1.73 s、速度提升8.67 倍);该模型预测的物理量分布特征符合理论,稳态预测性能良好;负载加载幅度越大、速度越快都会导致电压下冲幅度越大。
Abstract
This study is based on a quasi-2D multiphysics domain model for Proton Exchange Membrane Fuel Cells (PEMFCs). A systematic investigation is conducted using the controlled variable method to evaluate the impact of model architecture and simulation configurations on computational efficiency. The steady-state prediction performance of the proposed model is validated through an analysis of the distribution characteristics of physical quantities, while the effects of load amplitude and loading rate on the model’s dynamic response are explored.The results demonstrate that the integrated simplification strategy for porous layers, reduction in flow channel segments, increment of time step size, and adoption of a fast acceleration mode can effectively enhance the simulation rate. Specifically, for a 15-second simulation, the computation time is reduced to 1.73 seconds, achieving an 8.67-fold acceleration. The predicted distributions of physical quantities are consistent with theoretical expectations, indicating robust steady-state prediction capability. Furthermore, it is observed that larger load amplitudes and higher loading rates result in more significant voltage undershoots.This research provides valuable insights for the development of fast PEMFC simulations and hardware-in-the-loop (HIL) simulation implementations.
关键词
质子交换膜燃料电池 /
多物理域 /
准二维模型 /
仿真速率 /
动态响应 /
数值模拟
Key words
proton exchange membrane fuel cell (PEMFC) /
multiphysics /
quasi-2D model /
simulation rate /
dynamic response /
numerical simulation
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参考文献
[1] Murschenhofer D, Kuzdas D, Braun S, et al.A real-time capable quasi-2D proton exchange membrane fuel cell model[J]. Energy Conversion and Management, 2018, 162: 159-175.
[2] 陈家城, 周苏. 大功率质子交换膜燃料电池建模及仿真[J]. 太阳能学报, 2024, 45(3): 290-297.
Chen J C, Zhou S.Modeling and simulation of high-power proton exchange membrane fuel cells[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 290-297.
[3] 孙术发, 杨洁, 唐华林, 等. PEMFC输出特性建模与多因素仿真分析[J]. 哈尔滨工业大学学报, 2019, 51(10): 144-151.
Sun S F, Yang J, Tang H L, et al.PEMFC output characteristics modeling and multi-factor simulation analysis[J]. Journal of Harbin Institute of Technology, 2019, 51(10): 144-151.
[4] 皇甫宜耿, 任子俊, 张羽翔, 等. 质子交换膜燃料电池动态特性建模及仿真[J]. 电力电子技术, 2020, 54(12): 44-46.
Huangfu Y G, Ren Z J, Zhang Y X, et al.Dynamic characteristics modeling and simulation of proton exchange membrane fuel cells[J]. Power Electronics, 2020, 54(12): 44-46.
[5] 马睿. 基于实时仿真的多物理域燃料电池模型和系统测试[D]. 西安: 西北工业大学, 2019.
Ma R.Real-time simulation based multi-physical fuel cell modeling and system test[D]. Xi’an: Northwestern Polytechnical University, 2019.
[6] 杨子荣. PEMFC多物理场耦合瞬态系统模型开发及水热传输分析[D]. 天津: 天津大学, 2020.
Yang Z R.Development of multi-physics transient PEMFC system model and analysis of water and heat transfer[D]. Tianjin: Tianjin University, 2020.
[7] 陈永辉, 苏建徽, 解宝, 等. 基于HHO-FA的PEMFC电堆辨识建模[J]. 太阳能学报, 2024, 45(3): 282-289.
Chen Y H, Su J H, Xie B, et al.Identification modeling of PEMFC stack based on HHO-FA[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 282-289.
[8] Kravos A, Vrlić M, Hametner C, et al.Real-time capable nonlinear distributed parameter observer considering two-phase flow in PEM fuel cells[J]. International Journal of Hydrogen Energy, 2025, 134: 181-197.
[9] Ansari A B.Reduced-order modeling of PEM fuel cell based on POD and PODI: an efficient approach toward combining highest accuracy with real-time performance[J]. International Journal of Hydrogen Energy, 2023, 48(75): 29327-29349.
[10] Tavčar G, Katrašnik T.A real time capable quasi 3D system level model of PEM fuel cells[J]. Fuel Cells, 2020, 20(1): 17-32.
[11] Ritzberger D, Hametner C, Jakubek S.A real-time dynamic fuel cell system simulation for model-based diagnostics and control: validation on real driving data[J]. Energies, 2020, 13(12): 3148.
[12] Gong Z C, Wang B W, Wu K C, et al.A 1+1-D multiphase proton exchange membrane fuel cell model for real-time simulation[J]. IEEE Transactions on Transportation Electrification, 2022, 8(2): 2928-2944.
[13] Wang B W, Wu K C, Yang Z R, et al.A quasi-2D transient model of proton exchange membrane fuel cell with anode recirculation[J]. Energy Conversion and Management, 2018, 171: 1463-1475.
[14] Wu K C, Xie X, Wang B W, et al.Two-dimensional simulation of cold start processes for proton exchange membrane fuel cell with different hydrogen flow arrangements[J]. International Journal of Hydrogen Energy, 2020, 45(35): 17795-17812.
[15] O’Hayre R, Cha S W, Colella W, et al. Fuel Cell Fundamentals[M]. 3rd ed. Hoboken: John Wiley & Sons Inc, 2016: 206-227.
[16] 焦魁, 王博文, 杜青, 等. 质子交换膜燃料电池水热管理[M]. 北京: 科学出版社, 2020: 195-198.
Jiao K, Wang B W, Du Q, et al.Hydrothermal management of proton exchange membrane fuel cell[M]. Beijing: Science Press, 2020: 195-198.
[17] Springer T E, Zawodzinski T A, Gottesfeld S.Polymer electrolyte fuel cell model[J]. Journal of the Electrochemical Society, 1991, 138(8): 2334-2342.
[18] Atiyeh H K, Karan K, Peppley B, et al.Experimental investigation of the role of a microporous layer on the water transport and performance of a PEM fuel cell[J]. Journal of Power Sources, 2007, 170(1): 111-121.
基金
全国重点实验室开放基金(SKLIAPE 2024008)