Polymer electrolyte fuel cell system level modelling and simulation of transient behavior

Qi, Yiwen; Espinoza‐Andaluz, Mayken; Thern, Marcus; Andersson, Martin

doi:10.1016/j.etran.2019.100030

Cited by 27 publications

(4 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, they are presented in Appendix to facilitate the understanding of the thermodynamic process of the PEFC system. To clarify, the electrochemical PEFC system in Figure 2 without the cooling method is already validated in the authors' previous research, 33 where a good agreement is achieved between the simulation results and the experimental data, which proved the effectiveness of the developed PEFC system model.…”

Section: Cooling System Of the Pefc Systemmentioning

confidence: 60%

Temperature control strategy for polymer electrolyte fuel cells

et al. 2020

Int J Energy Res

Self Cite

View full text Add to dashboard Cite

Summary A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy directly to electrical energy, and its performance greatly depends on its operating temperature. Therefore, in this paper, a novel thermodynamic PEFC model with the airflow cooling method is firstly developed for the PEFC system. Then, a novel model predictive control (MPC) controller is designed to control the stack temperature at an optimal value by adjusting the air flow rate on the basis of the developed thermodynamic PEFC model. The thermodynamic PEFC model and the designed controlling strategies are simulated and analysed in Matlab/Simulink. Three tests are conducted to estimate the reliability of the developed controllers concerning different operating conditions: (a) typical perturbation in the current load, (b) any perturbation in the current load, and (c) variation of the ambient temperature. The simulation results demonstrate that the MPC controller can effectively control the stack temperature at the desired value. Moreover, the MPC controller shows much superior effects compared with the conventional proportional integral derivative (PID) controller. In addition, the developed coolant circuit model can be easily applied to various PEFC systems. The MPC controller shows potential also for other controlling issues of PEFC systems due to its strong robustness and fast response.

show abstract

Section: Cooling System Of the Pefc Systemmentioning

confidence: 60%

Temperature control strategy for polymer electrolyte fuel cells

et al. 2020

Int J Energy Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…Zeros dimensional models are suitable for state observation and control. [44][45][46] Usually a one-dimensional CFD model of a single cell is simplified into a zero-dimensional model, in which lumped values of internal states of the functional layers in through plate direction are studied. Fang proposed a long channel cell model and a stack model by integrating a zerodimensional model.…”

Section: Abbreviationsmentioning

confidence: 99%

Modeling of Fuel Cell Cold Start and Dimension Reduction Simplification Method

Jiang¹,

Xu²,

Struchtrup³

et al. 2020

J. Electrochem. Soc.

View full text Add to dashboard Cite

Sub-zero startup ability remains a key barrier for commercial application of polymer electrolyte fuel cells (PEMFC), especially for automotive applications. In order to improve the startup ability and durability of fuel cells, understanding of the characteristics and mechanisms of cold start is essential, and here modeling of fuel cell cold start plays an important role. In this study, a one-dimensional model is developed to simulate the fuel cell cold start. The model includes mass transport and phase change, heat transfer and electrochemical reaction. Key features such as membrane water and local current distributions are analyzed. Based on the one-dimensional model and simulation results, a spatial reduced simplified model is developed that distinguished only n states across the cell. The simplified model inherits the key features of the one-dimensional model, while the computational cost is significantly reduced to 10% (from 216 s to 20.88 s). The one-dimensional model and simplified model are both validated by the cold start experiment and the voltage error and temperature error are within 15% and 1.2 K respectively. Thus, the proposed simplified model could be used in dynamic simulation and in further multi-scale modeling study to build a stack model.

show abstract

“…There are numerous ways to generate explicit microstructure models: overlapping of spheres 16 , Voronoi tessellations 1 , random packing of simple solids 4 , or imitating physical process methods 17 . Considering the several methodology generations, different software has been employed to analyze the generated porous media.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm

Ávila

Pagalo

Espinoza‐Andaluz

2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

Porous materials are of great interest in multiple applications due to their usefulness in energy conversion devices and their ability to modify structural and diffusive properties. Geometric tortuosity plays an important role in characterizing the complexity of a porous medium. The literature on several occasions has related it as a parameter dependent on porosity only. However, due to its direct relationship with the morphology of the medium, a deeper analysis is necessary. For this reason, in the present study, the analysis of the geometric tortuosity is proposed considering the porosity and the pore size distribution. Geometric tortuosity in artificially generated digital porous media is estimated using the A-star algorithm and the Pore Centroid method. By performing changes in the size of the medium and the distribution of the pore size, results are obtained that indicate that the geometric tortuosity does not only depend on the porosity. By maintaining the same porosity, the geometric tortuosity increases if the pore size is reduced. Similarly, these pore size effects are greater if the size of the medium is reduced. The A-star algorithm was found to be more suitable to characterize the majority of paths within the half-pore. On the other hand, to increase the size, the Pore Centroid method is the most appropriate. Finally, three types of correlations were generated relating tortuosity with porosity and pore size. All the correlations were determined with 95% of interval confidence.

show abstract

Polymer electrolyte fuel cell system level modelling and simulation of transient behavior

Cited by 27 publications

References 33 publications

Temperature control strategy for polymer electrolyte fuel cells

Temperature control strategy for polymer electrolyte fuel cells

Modeling of Fuel Cell Cold Start and Dimension Reduction Simplification Method

Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm

Contact Info

Product

Resources

About