Fault detection and isolation of PEM fuel cell system by analytical redundancy
23 Jun 2010-pp 1371-1376
TL;DR: In this article, the authors presented a procedure of fault detection and isolation of proton exchange membrane (PEM) fuel cell based on its mathematic model by analytical redundancy approach, which was linearized into eight state equations representation.
Abstract: This paper presents a procedure of fault detection and isolation of proton exchange membrane (PEM) fuel cell based on its mathematic model by analytical redundancy approach. The model is linearized into eight state equations representation. The transient phenomena captured in the model include the compressor dynamics, the flow characteristics, mass and energy conservation and manifold fluidic mechanics. Analytical redundancy relations (ARR) are generated and numerical simulation results are given. Major faults such as flooding, drying within fuel cells, and compressor over-voltage are detected and isolated. The diagnosability of fuel cell system is also obtained.
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TL;DR: In this work different model-based approaches are investigated as well as their validation and applications, which are oriented to help in developing suitable diagnostic tool for PEMFC monitoring and fault detection and isolation (FDI).
253 citations
Cites background or methods from "Fault detection and isolation of PE..."
...Some papers [7,32,33,35,37] underline that the isolation approach based on binary detection could causes some information losses in FDI....
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...Some papers [7,32,33,35,37] underline the possibility to improve the FDI robustness adopting adaptive thresholds....
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...Both observer-based [32,33] and parity space methods [10,35,37] allows the system model equation reduction....
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TL;DR: The aim of this paper is to present the current state of the art on PHM of FCs, more precisely of Proton-Exchange Membrane Fuel Cells (PEMFC) stack, and PHM discipline is described in order to depict the processing layers that allow early deviations detection, avoiding faults, deciding mitigation actions, and thereby increasing the useful life ofFCs.
184 citations
Abstract: Solid oxide fuel cells (SOFCs) are a promising option for power generation plants, but the design of fault diagnosis methods remains a key challenge. We propose the use of a quantitative model for such a plant (validated by real experiments) with a support vector machine (SVM) to detect and classify possible faults. The adoption of a classification approach as an identification strategy in a model-based fault diagnosis process represents a major innovation in the field of SOFC plants. Constant–voltage and constant–current control strategies are investigated. In both cases, an adequately trained SVM classifier is used to provide a high probability of correct classification when the plant functions at different steady-state operating conditions for random sizes of the considered faults and for realistic magnitudes of the errors affecting the model predictions. In addition, the relative importance of the easy-to-measure residuals, which are used as features in the SVM classification process, are discussed based on an advanced feature selection technique.
41 citations
TL;DR: A simplified statistic index for fault diagnosis based on multi-sensor signals and principle component analysis (PCA) is deduced to improve FCS performance and provide an experimental study on identifying faults in sensor and system levels of a PEM fuel cell system.
39 citations
TL;DR: This paper presents a procedure dealing with the issue of fault detection and isolation (FDI) using nonlinear analytical redundancy (NLAR) technique applied in a proton exchange membrane (PEM) fuel cell system based on its mathematic model.
Abstract: This paper presents a procedure dealing with the issue of fault detection and isolation (FDI) using nonlinear analytical redundancy (NLAR) technique applied in a proton exchange membrane (PEM) fuel cell system based on its mathematic model The model is proposed and simplified into a five orders state space representation The transient phenomena captured in the model include the compressor dynamics, the flow characteristics, mass and energy conservation and manifold fluidic mechanics Nonlinear analytical residuals are generated based on the elimination of the unknown variables of the system by an extended parity space approach to detect and isolate actuator and sensor faults Finally, numerical simulation results are given corresponding to a faults signature matrix
36 citations
References
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01 Jan 2012
139,059 citations
"Fault detection and isolation of PE..." refers background in this paper
...In fuel cell system diagnosis domain, experimental approaches based on knowledge are the most popular utilizations [3,4,5]....
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...On the other hand, results obtained from diagnosis also provide benchmark-quality data for fundamental models, which further benefit in prediction, control, and optimization of various transport and electrochemical processes occurring within fuel cells [3]....
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30 Apr 2007
TL;DR: The state of the art of electric, hybrid, and fuel cell vehicles is reviewed and the topologies for each category and the enabling technologies are discussed.
Abstract: With the more stringent regulations on emissions and fuel economy, global warming, and constraints on energy resources, the electric, hybrid, and fuel cell vehicles have attracted more and more attention by automakers, governments, and customers. Research and development efforts have been focused on developing novel concepts, low-cost systems, and reliable hybrid electric powertrain. This paper reviews the state of the art of electric, hybrid, and fuel cell vehicles. The topologies for each category and the enabling technologies are discussed
1,759 citations
01 Dec 2001
TL;DR: Promising applications for fuel cells include portable power, transportation, building cogeneration, and distributed power for utilities, which appear poised to meet the power needs of a variety of applications.
Abstract: At the beginning of the 21st century, fuel cells appear poised to meet the power needs of a variety of applications. Fuel cells are electrochemical devices that convert chemical energy to electricity and thermal energy. Fuel cell systems are available to meet the needs of applications ranging from portable electronics to utility power plants. In addition to the fuel cell stack itself, a fuel cell system includes a fuel processor and subsystems to manage air, water thermal energy, and power. The overall system is efficient at full and part-load, scaleable to a wide range of sizes, environmentally friendly, and potentially competitive with conventional technology in first cost. Promising applications for fuel cells include portable power, transportation, building cogeneration, and distributed power for utilities. For portable power a fuel cell coupled with a fuel container can offer a higher energy storage density and more convenience than conventional battery systems. In transportation applications, fuel cells offer higher efficiency and better part-load performance than conventional engines. In stationary power applications, low emissions permit fuel cells to be located in high power density areas where they can supplement the existing utility grid. Furthermore, fuel cell systems can be directly connected to a building to provide both power and heat with cogeneration efficiencies as high as 80%.
447 citations
"Fault detection and isolation of PE..." refers background in this paper
...INTRODUCTION uel cell system is considered as a significant power source with great potential applications in industry [1]....
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TL;DR: In this paper, the authors present a review of various tools for diagnosing polymer electrolyte membrane (PEM) fuel cells and stacks, and incorporate the most recent technical advances in PEM fuel cell diagnosis.
336 citations
"Fault detection and isolation of PE..." refers background in this paper
...In fuel cell system diagnosis domain, experimental approaches based on knowledge are the most popular utilizations [ 3 ,4,5]....
[...]
...On the other hand, results obtained from diagnosis also provide benchmark-quality data for fundamental models, which further benefit in prediction, control, and optimization of various transport and electrochemical processes occurring within fuel cells [ 3 ]....
[...]
01 Jan 2002
TL;DR: In this article, a nonlinear fuel cell system dynamic model that is suitable for control study is presented, where the transient phenomena captured in the model include the flow characteristics and inertia dynamics of the compressor, the manifold filling dynamics, and consequently the reactant partial pressures.
Abstract: A nonlinear fuel cell system dynamic model that is suitable for control study is presented. The transient phenomena captured in the model include the flow characteristics and inertia dynamics of the compressor, the manifold filling dynamics, and consequently, the reactant partial pressures. Characterization of the Fuel Cell polarization curves based on time varying current, partial oxygen and hydrogen pressures, temperature, membrane hydration allows analysis and simulation of the transient fuel cell power generation. An observer based feedback and feedforward controller that manages the tradeoff between reduction of parasitic losses and fast fuel cell net power response during rapid current (load) demands is designed.
280 citations