Model‐Aided Testing of a PEMFC CHP System

König, P.; Weber, André; Lewald, N.; Aicher, T.; Jörissen, Ludwig; Ivers-Tiffée, Ellen

doi:10.1002/fuce.200500208

Cited by 11 publications

(11 citation statements)

References 10 publications

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“…As described earlier [1,2] the modeling is based on a general variable and flexible system model structure consisting of different subsystem groups. This structure provides a frame for all kinds of fuel cell systems (e.g.…”

Section: Flexible Modeling and Simulation Environmentmentioning

confidence: 99%

“…The limited number of standard test routines will therefore deliver the necessary model parameters. In this work the earlier described model-aided testing and simulation approach [1,2] has been extended and validated to fit not only stationary PEMFC systems. To show the tool flexibility, modularity and accuracy for a wide range of applications it has been applied to a complex prototype stationary PEMFC Combined Heat and Power (CHP) system [1][2][3], a small commercial methanol based PEMFC Auxiliary Power Unit (APU) and a fictive stationary SOFC CHP system [4].…”

Section: Introductionmentioning

confidence: 99%

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Modular Testing and Simulation Environment for Analysis and Optimization of Fuel Cell Systems

Koenig¹,

Ivers‐Tiffée²

2007

ECS Trans.

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Improvement of fuel cell systems with respect to reliability and efficiency is the main issue in preparing them for their commercialization. Stationary, automotive or portable systems are still at the development stage and a lot of tasks have to be solved as to increase the component and system efficiencies by facilitating the system construction or eliminating parasitic components. To accelerate the development and to determine the systems efficiencies as well as the inaccessible system values, effective standardized tests have to be established and linked with a flexible modeling and simulation environment. A modular model-aided system analysis and development environment is presented which has been evaluated and validated at the IWE. The tool has been applied to a complex prototype stationary PEMFC system, a commercial methanol based PEMFC auxiliary power unit and a fictive stationary SOFC system proving the tool flexibility, modularity and accuracy for a wide range of applications.

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Section: Flexible Modeling and Simulation Environmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modular Testing and Simulation Environment for Analysis and Optimization of Fuel Cell Systems

Koenig¹,

Ivers‐Tiffée²

2007

ECS Trans.

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“…Differential approach for modelling of water installation warming-up process can grasp the dynamic response of the system, but it requires numerical solution of the problem described by nonlinear differential equations. In this approach, the temperatures are considered as searched variables in the analyzed points of the system [26].…”

Section: Introductionmentioning

confidence: 99%

Modular Approach for Modelling Warming up Process in Water Installations with Flow-Regulating Elements

2021

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The paper presents a new method for modelling the warming up process of a water system with elements regulating the flow in a stochastic manner. The paper presents the basic equations describing the work of typical elements which the water installation is composed of. In the proposed method, a new computational algorithm was used in the form of an iterative procedure enabling the use of boundary conditions that can be stochastically modified during the warming-up process. A typical situation, when such a modification is processed, is the regulation of the medium flow through two-way or three-way valves or applying additional heat source. Moreover, the presented method does not require the transformation of the differential equations, describing the operation of individual elements, into a linear form, which significantly facilitates analytical work and makes it more flexible. The example of analysis of the operation of water installation used for controlling temperature of the process gases in a chemical installation shows the functionality and flexibility of the method. The adopted calculation schematics enable changing the direction of the heat flow while the heat exchanger is in operation. Additionally, the sequence of calculation processed in modules describing operation of installation elements is elective (there is no situation that output parameters from one element are used as input parameters for other element in the same calculation step).

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“…This paper allows concluding that the flooding conditions for a stack lead a heterogeneous response of the system. König et al present a model‐aided system analysis tool in order to model different types of fuel cell systems . The modeling approach includes the variable system model structure and the system component modeling: reformer and PEMFC.…”

Section: Introductionmentioning

confidence: 99%

A Non‐Intrusive Signal‐Based Method for a Proton Exchange Membrane Fuel Cell Fault Diagnosis

et al. 2016

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This paper presents an experimental study dealing with a non‐intrusive signal‐based method for a fault diagnosis of a proton exchange membrane fuel cell (PEMFC). The aim of this tool is to define a specific signature of different operating conditions. First, a healthy state has to be defined: an operating condition with fixed parameters values for current, temperature, pressure is used as a reference state. When the operating conditions divert from this state of functioning, a fault is considered. Thanks to the wavelet transform of different signals from the fuel cell system, a signature can be extracted and linked to the considered operating conditions. The energy contents of the wavelet transform is used as an indicator of the state‐of‐health (SoH) of the fuel cell system with the purpose to detect deviations from healthy state operating conditions and to detect the fault related to. The diagnosis tool presented in this paper is based on existing signals acquired on the fuel cell system, in order to minimize the number of actual sensors. The other goals are to minimize the number of extracted parameters from the fuel cell system and to be as less intrusive as possible in the fuel cell system.

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Model‐Aided Testing of a PEMFC CHP System

Cited by 11 publications

References 10 publications

Modular Testing and Simulation Environment for Analysis and Optimization of Fuel Cell Systems

Modular Testing and Simulation Environment for Analysis and Optimization of Fuel Cell Systems

Modular Approach for Modelling Warming up Process in Water Installations with Flow-Regulating Elements

A Non‐Intrusive Signal‐Based Method for a Proton Exchange Membrane Fuel Cell Fault Diagnosis

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