Model Based PEM Fuel Cell Health Monitoring

2006 ◽  
Author(s):  
C. James Li
Keyword(s):  
Fuel Cell ◽  
Model Simulation ◽  
Cell Model ◽  
Membrane Resistance ◽  
Fuel Cell Performance ◽  
Model Based ◽  
Identification Approach ◽  
The Difference ◽  
Loss Term ◽  
Concentration Loss

To identify important fuel cell performance parameters for predicting its performance and assessing its health from its operating data (without performing special tests), this paper describes a model based parameter identification approach. It employs a non-linear programming method to identify optimal values of parameters of a fuel cell model that minimize the difference between the voltage trajectory predicted by the model and that of an actual fuel cell when both are subjected to the same current draws. Using an existing fuel cell model, simulation studies were carried out to demonstrate the feasibility. Specifically, the membrane resistance and a coefficient of the concentration loss term were identified. The study shows that both can be identified accurately even poor initial guesses were used.

Thermo-Kinetic Representation and Transient Simulation of a Molten Carbonate Fuel Cell

2005 ◽  
Author(s):  
Brian C. Carroll ◽  
Thomas M. Kiehne ◽  
Michael D. Lukas
Keyword(s):  
Fuel Cell ◽  
Cell Model ◽  
Operating Conditions ◽  
Molten Carbonate Fuel Cell ◽  
System Level ◽  
Transient Temperature ◽  
Molten Carbonate ◽  
Fuel Cell Performance ◽  
Fuel Reformation ◽  
Carbonate Fuel Cell

There are a growing number of models in the literature dealing with the transient behavior of fuel cells. However, few, if any, employ fundamental kinetic theory to model the fuel reformation process while simultaneously simulating fuel cell behavior from a transient, system-level perspective. Thus a comprehensive, transient fuel cell model has been developed that includes all the relevant thermodynamics, chemistry, and electrical characteristics of actual fuel cell operation. The model tracks the transient temperature response of a fuel cell stack, chemical specie concentrations of exhaust gases, efficiency of the fuel reformation equipment, and electrical output characteristics. Model results provide a concise, parametric evaluation of the influence of operating conditions and user-controlled parameters on fuel cell performance. The model is validated against transient Molten Carbonate fuel cell (MCFC) data from a subscale stack.

Effect of Cathode Side Cationic Contamination on the Performance of an Operating PEFC

2009 ◽  
Author(s):  
Mustafa Fazil Serincan ◽  
Ugur Pasaogullari ◽  
Trent Molter
Keyword(s):  
Fuel Cell ◽  
Cell Model ◽  
Polymer Electrolyte Fuel Cell ◽  
Cathode Side ◽  
Electronic Charge ◽  
Dynamics Model ◽  
Fuel Cell Performance ◽  
Computational Fluid Dynamics Model ◽  
Cationic Contamination ◽  
Diffusive Fluxes

A computational fluid dynamics model is developed to study the effect of cationic contamination on the performance of a polymer electrolyte fuel cell (PEFC). The fuel cell model incorporates mass, species, momentum and heat balances along with the ionic and electronic charge conservations. To model the transport of the cationic species, Nernst-Planck equations are used while taking into consideration of local electroneutrality in the ionomer phase. The diffusive fluxes of the cations are implemented in the Nernst-Planck equations such that they take into account adsorption of the species. A steady-state analysis is carried out to address the effects of contamination on the operating fuel cell performance. It is observed that contamination significantly reduces the output power density of the PEFC by occupying the available charge sites inside the ionomer.

A Three-Dimensional Two-Phase Model for Simulating PEM Fuel Cell Performance

2012 ◽  
Author(s):  
Ken S. Chen ◽  
Brian Carnes ◽  
Liang Hao ◽  
Gang Luo ◽  
Chao-Yang Wang
Keyword(s):  
Fuel Cell ◽  
Water Saturation ◽  
Cell Model ◽  
Polymer Electrolyte Membrane ◽  
Three Dimensional ◽  
Department Of Energy ◽  
Two Phase ◽  
Present Sample ◽  
Fuel Cell Performance ◽  
Electrolyte Membrane

For the last couple of years, we have been working on developing and validating a three-dimensional, two-phase, comprehensive PEM (polymer electrolyte membrane) fuel cell model, and our efforts were funded by the US Department of Energy. In this paper, we provide an up-to-date progress report on our team efforts. Specifically, we present comparisons of simulation results (liquid-water saturation distribution) computed by our improved partially two-phase and fully two-phase models. We also present sample model-validation results by comparing model prediction with experimental data.

scholarly journals Revealing Failure Modes and Effect of Catalyst Layer Properties for PEM Fuel Cell Cold Start using an Agglomerate Model

2021 ◽  
Author(s):  
Liu Yang ◽  
Chenxi Cao ◽  
Quanquan Gan ◽  
Hao Pei ◽  
Qi Zhang ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Failure Modes ◽  
Phase Transfer ◽  
Cell Model ◽  
Catalyst Layer ◽  
Cold Start ◽  
Proton Exchange ◽  
Minimal Impact ◽  
Concentration Loss

We propose a dynamic proton exchange membrane fuel cell model for cold start simulation in account for reactant transport, water phase-transfer and electrochemical reactions within catalyst agglomerates. The competition between in-agglomerate concentration loss and coverage of active electrocatalytic surface is shown to create different failure modes for low and high start-up currents. The critical ice fraction of failure was studied for different catalyst layer (CL) thickness and ionomer to carbon ratios (I/C) at 0.4 A cm-2. Thicker cathode CLs allow cold start to proceed with higher ice fractions. In contrast, larger cathode I/Cs causes cold-start failure at lower ice fractions because of reduction of the CL porosity and agglomerate pore sizes that significantly increases the oxygen transport resistance. By utilizing the electro-osmotic drag effect, slightly thick anode CL could act as effective heat sources during cold start at high currents with minimal impact on the nominal cell performance.

Fault Diagnostics Using Genetic Algorithm for Advanced Cycle Gas Turbine

2002 ◽  
Author(s):  
Suresh Sampath ◽  
Ankush Gulati ◽  
Riti Singh
Keyword(s):  
Objective Function ◽  
Gas Turbine ◽  
Model Simulation ◽  
Engine Performance ◽  
Simulated Data ◽  
Performance Model ◽  
Simple Cycle ◽  
Fault Diagnostics ◽  
Model Based ◽  
The Difference

This paper describes a new approach to the development of a fault diagnostics and prognostic capability for an advanced cycle gas turbine. It is based on techniques using sensor based and model based information. Sensor based information is the actual information obtained from the real engine and the model based information comes from the data obtained from engine performance model simulation with a permutation of implanted faults taking into account sensor noise and bias. The approach adopted here is to minimize an objective function which represents the difference between the actual and simulated data and the minimized objective function allows us identify the nature of fault. After the initial success with simple cycle engines, it was decided to extend this technique to advanced cycle engines. The technique is being tested on an in-house model of an intercooled recuperated engine with variable geometry similar to the ICR-WR21cycle. A detailed analysis of the technique applied to simple cycle and advanced cycle will be presented.

scholarly journals Parametric Effects on Proton Exchange Membrane Fuel Cell Performance: An Analytical Perspective

2020 ◽  
Vol 5 (5) ◽  
pp. 926-938
Author(s):  
Rupendra Pachauri ◽  
Abhishek Sharma ◽  
Shailendra Rajput
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Operating Temperature ◽  
Membrane Resistance ◽  
Proton Exchange ◽  
Operational Parameters ◽  
Fuel Cell Performance ◽  
Simulink Model ◽  
Parametric Effects ◽  
Exchange Membrane

This paper introduces a regression study on the operating parameters of different types of fuel cells (FCs) such as fuel used, catalysts, efficiency, operating temperature, switching time, load carriers, applications with advantages. In addition, mathematical modeling of the Proton exchange membrane fuel cell (PEMFC) is considered for MATLAB simulation and the inter-relationships of the parametric effect schemes are discussed. In the current study, the significant operational parameters such as operating temperature, reactant (H2 and O2) flow pressure, and membrane resistance are considered. The procured results in the form of I-V or polarization curve, efficiency, power and current density have been utilized owing to study the PEMFC behavior. For the validation, designed a single MATLAB/Simulink model of PEMFC is compared with commercial existing model. The results reflect the fine coordination between the simulated and commercially available PEMFC model. Present study can be used as a supportive tool to beginners to select the appropriate parameters for a FC assisted applications.

Fuel Cell Condition Assessment Using Transient and Standard Polarization Curves

2006 ◽  
Author(s):  
C. James Li ◽  
Alex Chien
Keyword(s):  
Fuel Cell ◽  
Cell Model ◽  
Cell System ◽  
Cell Performance ◽  
Polarization Curves ◽  
Simulation Studies ◽  
Performance Parameters ◽  
Fuel Cell System ◽  
Fuel Cell Performance ◽  
Step Procedure

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.

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