Fuel Cell Condition Assessment Using Transient and Standard Polarization Curves

Author(s):  
C. James Li ◽  
Alex Chien

To identify important fuel cell performance parameters for predicting its performance and assessing its health, this paper describes a two-step procedure that uses standard and transient polarization curves in sequence to identify activation, resistance and concentration losses of a fuel cell system. An existing fuel cell model was modified to facilitate simulation studies which were used to ascertain the feasibility and limitation of the proposed method.

2010 ◽  
Vol 447-448 ◽  
pp. 559-563 ◽  
Author(s):  
Misran Erni ◽  
Wan Ramli Wan Daud ◽  
Edy Herianto Majlan

Flow field design has several functions that should perform simultaneously. Therefore, specific plate materials and channel designs are needed to enhance the performance of proton exchange membrane (PEM) fuel cell. Serpentine flow field design is one of the most popular channel configurations for PEM fuel cell system. Some configurations have been developed to improve the cell performance. This paper presents a review on serpentine flow field (SFF) design and its influence to PEM fuel cell performance based on some indicators of performance. The comparisons of SFF with other flow field designs are summarized. The results of some experimental and numerical investigations are also presented.


2006 ◽  
Vol 4 (4) ◽  
pp. 511-515 ◽  
Author(s):  
Teemu Vesanen ◽  
Krzysztof Klobut ◽  
Jari Shemeikka

Due to constantly increasing electricity consumption, networks are becoming overloaded and unstable. Decentralization of power generation using small-scale local cogeneration plants becomes an interesting option to improve economy and energy reliability of buildings in terms of both electricity and heat. It is expected that stationary applications in buildings will be one of the most important fields for fuel cell systems. In northern countries, like Finland, efficient utilization of heat from fuel cells is feasible. Even though the development of some fuel cell systems has already progressed to a field trial stage, relatively little is known about the interaction of fuel cells with building energy systems during a dynamic operation. This issue could be addressed using simulation techniques, but there has been a lack of adequate simulation models. International cooperation under IEA/ECBCS/Annex 42 aims at filling this gap, and the study presented in this paper is part of this effort. Our objective was to provide the means for studying the interaction between a building and a fuel cell system by incorporating a realistic fuel cell model into a building energy simulation. A two-part model for a solid-oxide fuel cell system has been developed. One part is a simplified model of the fuel cell itself. The other part is a system level model, in which a control volume boundary is assumed around a fuel cell power module and the interior of it is regarded as a “black box.” The system level model has been developed based on a specification defined within Annex 42. The cell model (programed in a spreadsheet) provides a link between inputs and outputs of the black box in the system model. This approach allows easy modifications whenever needed. The system level model has been incorporated into the building simulation tool IDA-ICE (Indoor Climate and Energy) using the neutral model format language. The first phase of model implementation has been completed. In the next phase, model validation will continue. The final goal is to create a comprehensive but flexible model, which could serve as a reliable tool to simulate the operation of different fuel cell systems in different buildings.


Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1353
Author(s):  
Jaeyoung Han ◽  
Sangseok Yu ◽  
Jinwon Yun

In this study, transient responses of a polymer electrolyte fuel cell system were performed to understand the effect of sensor fault signal on the temperature sensor of the stack and the coolant inlet. We designed a system-level fuel cell model including a thermal management system, and a controller to analyze the dynamic behavior of fuel cell system applied with variable sensor fault scenarios such as stuck, offset, and scaling. Under drastic load variations, transient behavior is affected by fault signals of the sensor. Especially, the net power of the faulty system is 45.9 kW. On the other hand, the net power of the fault free system is 46.1 kW. Therefore, the net power of a faulty system is about 0.2 kW lower than that of a fault-free system. This analysis can help in understanding the transient behavior of fuel cell systems at the system level under fault situations and provide a proper failure avoidance control strategy for the fuel cell system.


Author(s):  
Elena Carcadea ◽  
D. B. Ingham ◽  
L. Ma ◽  
M. Pourkashanian ◽  
H. Ene ◽  
...  

Proton exchange membrane (PEM) fuel cells have been identified as a viable emerging technology for future power generation systems in terms of both stationary and mobile applications since it offers a significant economical and environmental potential in future power production. This paper presents the development of a PEM fuel cell system using a full three-dimensional computational fluid dynamics model for the system optimization. The fuel cell investigated is a seven serpentine channel cell of 100cm2 active area. The model includes a complete set of mathematical equations for the fluid flow, multi-component species transport, electrochemistry, and the transport of protons and electrical currents throughout the PEM fuel cell. The results obtained from the parametric analyses of the cell performance at different current loads have been presented. The model results provide us detailed information on the fluid dynamics and electrochemical processes that occur in the fuel cell. This generates a clear picture on the fuel/oxidant distribution, consumption, and the current density distribution in the fuel cell. This assists us in identifying the critical parameters that influence the cell performance and sheds light onto the physical mechanisms leading to the improvement of the fuel cell system performance.


2011 ◽  
Vol 196 (13) ◽  
pp. 5446-5452 ◽  
Author(s):  
Jun-Young Park ◽  
Ka-Young Park ◽  
Ki Buem Kim ◽  
Youngseung Na ◽  
Hyejung Cho ◽  
...  

Author(s):  
Fang-Bor Weng ◽  
Ay Su ◽  
Kai-Fan Lo ◽  
Cheng-Hsin Tu

A novel bio-cell flow field pattern is experimentally investigated by determining fuel cell performance and optimal operating conditions. The cell performance is analyzed by the polarization curve and the long-term stability. The bio-cell flow channel structure has a main feed track, a secondary branch track, and repeats to promote water removal from gas diffusion layer. The performance of the bio-cell flow field pattern is optimal performance when the cell is operated with low humidity gases and low cell temperature. In addition, the bio-cell flow field exhibits stable performance for non-humidified air. The fuel cell with the novel bio-cell flow field has advantages for low relative humidity operations. The results of the bio-cell flow field could potentially simplify fuel cell system design without humidifiers.


Author(s):  
Alessandro Miotti ◽  
Alfonso Di Domenico ◽  
Angelo Esposito ◽  
Yann G. Guezennec

Dynamic behavior and transient analysis are one of the most critical issues for high performance polymeric electrolyte membrane fuel cells. An improvement of performance can be achieved both with hardware modifications and with more sophisticated control strategies. To this regard, the availability of a reliable dynamic fuel cell model plays an important role in the design of fuel cell control and diagnostic system. This paper presents a non-linear, iso-thermal, zero-dimensional model of a pressurized PEM fuel cell system used for automotive applications. The model was derived from a detailed, iso-thermal, steady-state, dimensional model which explicitly calculated (and subsequently captured as a multi-D look-up table) the relationship between cathode and anode pressures and humidity and stack average current. Since in the electrochemical model the single cell performance depends on the membrane ionic resistance, which is strictly related to the membrane water content, a dynamic estimation of the membrane water diffusion has been considered. This takes into account the dependence of the cell voltage on the unsteady membrane water concentration. A similar approach still allows the development of a simple zero-dimensional dynamic model suitable for control system development and amenable to control-oriented humidity modelling.


Author(s):  
Chan-Chiao Lin ◽  
Huei Peng ◽  
Min Joong Kim ◽  
Jessy W. Grizzle

System-level modeling and control strategy development for a hybrid fuel cell vehicle (HFCV) are presented in this paper. A reduced-order fuel cell model is created to accurately predict the fuel cell system efficiency while retaining dynamic effects of important reactant variables. The fuel cell system model is then integrated with a DC/DC converter, a Li-Ion battery, an electric drive and tire/vehicle dynamics to form a HFCV. The supervisory-level control problem of the HFCV is subsequently investigated. A stochastic dynamic programming (SDP) based approach is applied to obtain an optimal power management strategy. Simulations over different driving cycles showed that the SDP control strategy not only saved a significant amount of hydrogen but also produced smoother load for the fuel cell stack—both of which help the long term viability of the fuel cell technology for automotive applications.


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