A novel diagnostic methodology for fuel cell stack health: Performance, consistency and uniformity

Hu, Zunyan; Xu, Liangfei; Li, Jianqiu; Gan, Qintao; Xu, Xin; Song, Ziyou; Shao, Yangbin; Ouyang, Minggao

doi:10.1016/j.enconman.2019.02.031

Cited by 79 publications

(12 citation statements)

References 53 publications

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“…e reactant ow and pressure distribution may di er between di erent cells, and a single cell's heat and water management strategy is challenging to achieve. is will cause the overall performance of the fuel cell stack to decrease [1]. erefore, it is essential for the study of reactor equilibrium.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Fuel Cell Stack Consistency Based on Multi-Model

Zeng

Huang

Wang

et al. 2022

Scientific Programming

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With the proposal of cloud computing, fog computing, and edge computing, various simulation operations are greatly guaranteed, which benefits the multi-model operations of Matlab and CFD. This paper established the 1-D flow network model and 12 cm ∗ 8 cm 3-steady-state PEMFC model. Based on the experiment, the intake flow distribution of the cathode anode of 80 cells is simulated to obtain the maximum and minimum intake flow cell. The 3-D and steady-state single-cell model is used to calculate the cell’s performance, and the performance difference between the two cells is improved by optimizing the size structure of the single cell. The results show that the best version of the cell was obtained when the values of the width and depth were 1.1 mm and 0.8 mm, and the power density difference between the two cells decreased from 5.7% to 2.1%. The voltage difference at 1000 mA·cm−2 current density decreases from 0.065 to 0.035 V after optimization. The intake flow extreme difference of the reactor improved significantly, and C v was reduced by 48.7%.

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Section: Introductionmentioning

confidence: 99%

“…For the consistency of the stack, the industry generally uses the voltage di erence coe cient (C v ) to express [3]. e factors that a ect the consistency of the stack are usually gas pressure, gas mass ows [4], control methods such as purge mode [5,6], cell voltage detection level [1,7], and other factors.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Fuel Cell Stack Consistency Based on Multi-Model

Zeng

Huang

Wang

et al. 2022

Scientific Programming

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“…[1][2][3] A fuel cell is a very complex non-linear physicochemical system with different types of physical quantities as inputs and outputs, which need to be thoroughly evaluated prior to application. 4,5 As an essential piece of equipment in the process of testing and evaluating fuel cell performance, the fuel cell test system plays an important role in facilitating the development of fuel cells. The system needs to provide the fuel cell stack with sufficient fuel and oxidant, satisfy precise humidity requirements, and provide a stable operating temperature, and it also needs to be able to accurately monitor and control these physical quantities.…”

Section: Introductionmentioning

confidence: 99%

“…A fuel cell is a very complex non‐linear physico‐chemical system with different types of physical quantities as inputs and outputs, which need to be thoroughly evaluated prior to application 4,5 . As an essential piece of equipment in the process of testing and evaluating fuel cell performance, the fuel cell test system plays an important role in facilitating the development of fuel cells.…”

Section: Introductionmentioning

confidence: 99%

Development of a fuel cell humidification system and dynamic control of humidity

Fang

Wan

Zou

2022

Intl J of Energy Research

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Summary Maintaining proper membrane humidity is essential for ensuring the optimal operation and durability of polymer electrolyte membrane fuel cells (also known as proton exchange membrane fuel cells). Conventional humidification systems have insufficient humidification capacities and slow humidity responses, and they can no longer meet the humidification needs of high‐power fuel cell systems. This study focuses on a high‐power fuel cell air humidification system. The humidification system uses a mixture of dry and wet air to enable rapid achievement of the inlet gas humidification requirements of the fuel cell. A complete model of the air humidification system is developed, and a proportional‐integral‐derivative controller is used to provide feedback control of the temperature and humidity in the humidification system. The results show that the overall relative humidity (RH) output of the humidification system exhibits high‐accuracy tracking of the RH demand under different operating conditions, without large oscillations. Meanwhile, the temperature of the mixing heater remains consistent with the temperature of the fuel cell stack. The trend for the wet air flow rate is basically identical to the change in the RH, and the change in the heating power of the mixer heater is almost the same as the change in the dry air flow rate. In addition, under the same humidification demand, the humidity regulation of this system at different operating powers has a better anti‐interference ability, and the maximum RH deviation is 8%. The results of the study can provide guidance for the optimal operation of existing high‐power fuel cell humidification systems.

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“…Commonly, the polarization curve test is used to study the effects that the operating conditions and their variations have on the fuel cell performance and in the degradation processes [17][18][19][20] and EIS test are applied to study the evolution of the fuel cell internal resistance in function of operating conditions, detect hydrogen crossover flow, and assess the hydric conditions of fuel cells [21][22][23][24][25][26][27]. However, another possibility would be to study the state of health of a fuel cell combining V-I curve and EIS results tests, and through a parametric analysis of a model obtain extra information about the physical processes that can cause fuel cell degradation [28,29].…”

Section: Introductionmentioning

confidence: 99%

Proposal of a New Technique to Obtain Some Fuel Cell Internal Parameters Using Polarization Curve Tests and EIS Results

et al. 2021

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Nowadays, fuel cells are becoming a real alternative to power several applications, from portable electronic devices to cars, buses, or stationary facilities. Usually, a basic analysis of a fuel cell includes polarization curve test, as this method is excellent to characterize the behavior of a fuel cell as a whole, because it integrates all the different physical process that happens inside in current and voltage signals. On the other hand, it does not provide accurate information of these physical processes as individual. In this research, we relate the results of polarization curve test and EIS (Electrochemical Impedance Spectroscopy) test through two mathematical expressions. Then, using equivalent electrical circuit elements to model EIS curves, and applying the developed expressions, we correlate the EIS and polarization curve results, allowing us to interpret the physical meaning of these circuit elements and obtain a deeper vision of the internal processes that happen.

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A novel diagnostic methodology for fuel cell stack health: Performance, consistency and uniformity

Cited by 79 publications

References 53 publications

Optimization of Fuel Cell Stack Consistency Based on Multi-Model

Optimization of Fuel Cell Stack Consistency Based on Multi-Model

Development of a fuel cell humidification system and dynamic control of humidity

Proposal of a New Technique to Obtain Some Fuel Cell Internal Parameters Using Polarization Curve Tests and EIS Results

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