The Experts below are selected from a list of 1260036 Experts worldwide ranked by ideXlab platform
Hua Meng - One of the best experts on this subject based on the ideXlab platform.
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A two-phase non-isothermal mixed-domain PEM fuel Cell Model and its application to two-dimensional simulations
Journal of Power Sources, 2007Co-Authors: Hua MengAbstract:In this paper, a two-phase non-isothermal PEM fuel Cell Model based on the previously developed mixed-domain PEM fuel Cell Model with a consistent treatment of water transport in MEA has been established using the traditional two-fluid method. This two-phase multi-dimensional PEM fuel Cell Model could fully incorporate both the anode and cathode sides, properly account for the various water phases, including water vapor, water in the membrane phase, and liquid water, and truly enable numerical investigations of water and thermal management issues with the existence of condensation/evaporation interfaces in a PEM fuel Cell. This two-phase Model has been applied in this paper in a two-dimensional configuration to determine the appropriate condensation and evaporation rate coefficients and conduct extensive numerical studies concerning the effects of the inlet humidity condition and temperature variation on liquid water distribution with or without a condensation/evaporation interface.
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a three dimensional pem fuel Cell Model with consistent treatment of water transport in mea
Journal of Power Sources, 2006Co-Authors: Hua MengAbstract:In this paper, a three-dimensional PEM fuel Cell Model with a consistent water transport treatment in the membrane electrode assembly (MEA) has been developed. In this new PEM fuel Cell Model, the conservation equation of the water concentration is solved in the gas channels, gas diffusion layers, and catalyst layers while a conservation equation of the water content is established in the membrane. These two equations are connected using a set of internal boundary conditions based on the thermodynamic phase equilibrium and flux equality at the interface of the membrane and the catalyst layer. The existing fictitious water concentration treatment, which assumes thermodynamic phase equilibrium between the water content in the membrane phase and the water concentration, is applied in the two catalyst layers to consider water transport in the membrane phase. Since all the other conservation equations are still developed and solved in the single-domain framework without resort to interfacial boundary conditions, the present new PEM fuel Cell Model is termed as a mixed-domain method. Results from this mixed-domain approach have been compared extensively with those from the single-domain method, showing good accuracy in terms of not only Cell performances and current distributions but also water content variations in the membrane.
Fei Gao - One of the best experts on this subject based on the ideXlab platform.
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Numerical stiffness study of multi-physical solid oxide fuel Cell Model for real-time simulation applications
Applied Energy, 2018Co-Authors: Rui Ma, Pascal Briois, Elena Breaz, Chen Liu, Fei GaoAbstract:Real-time fuel Cell Model and simulations can help to develop the fuel Cell system, especially for the effective implementation of the advanced online diagnostic tool by the multi-dimensional multi-physical approach. However, the strong numeric stiffness observed in the physical equations of the high dimensional real-time Model can lead to an overrun error for real-time simulation, which could be critical for online diagnosis accuracy, or even cause control failure. In this paper, the real-time simulation of a two-dimensional tubular solid oxide fuel Cell Model is developed. Moreover, the stiff issues of the control-oriented real-time fuel Cell Model are analyzed thoroughly through the calculations and comparisons of the time constants and eigenvalues for the dynamic ordinary differential equations of the nonlinear fuel Cell Model. An appropriate solving approach with second-order accuracy is then proposed to reduce the influence of the specific stiffness issue during the real-time simulation. The proposed solving algorithm is proofed to be L-stable and thus can make the stiff fuel Cell Model executed with a reduced computation time. The experimental results show that the developed multi-physical tubular fuel Cell Model can be effectively executed in real-time within milliseconds range with over hundreds of control volumes.
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A multi-domain syngas solid oxide fuel Cell Model for transportation applications
2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), 2018Co-Authors: Chen Liu, Pascal Briois, Elena Breaz, Hao Bai, Fei GaoAbstract:Solid oxide fuel Cell (SOFC) plays an important role in the transportation and automotive technology like the auxiliary power unit (APU) for trucks. An accurate fuel Cell Model can help the design of the automatic control in the transportation. This paper analyzes the numerical stiffness in a syngas fueled tubular SOFC Model through the time constants in the ordinary differential equations (ODE). The proposed multi-domain fuel Cell Model uncovers the coupling of the stiff characteristics inside the fuel Cell system by taking consideration of electrochemical, fluidic and thermal phenomena. Written in pure C language without the dependent of any platform, the trapezoidal rule with the second order backward difference formula (TR-BDF2) ODE solver gives a possibility for the embedded applications of the proposed fuel Cell Model, like real-time simulation and online diagnostic control in the transportation system. In addition, the presented Model in this paper can also be used to verify the control methods for SOFC APU in the heavy-duty truck.
Rui Ma - One of the best experts on this subject based on the ideXlab platform.
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Numerical stiffness study of multi-physical solid oxide fuel Cell Model for real-time simulation applications
Applied Energy, 2018Co-Authors: Rui Ma, Pascal Briois, Elena Breaz, Chen Liu, Fei GaoAbstract:Real-time fuel Cell Model and simulations can help to develop the fuel Cell system, especially for the effective implementation of the advanced online diagnostic tool by the multi-dimensional multi-physical approach. However, the strong numeric stiffness observed in the physical equations of the high dimensional real-time Model can lead to an overrun error for real-time simulation, which could be critical for online diagnosis accuracy, or even cause control failure. In this paper, the real-time simulation of a two-dimensional tubular solid oxide fuel Cell Model is developed. Moreover, the stiff issues of the control-oriented real-time fuel Cell Model are analyzed thoroughly through the calculations and comparisons of the time constants and eigenvalues for the dynamic ordinary differential equations of the nonlinear fuel Cell Model. An appropriate solving approach with second-order accuracy is then proposed to reduce the influence of the specific stiffness issue during the real-time simulation. The proposed solving algorithm is proofed to be L-stable and thus can make the stiff fuel Cell Model executed with a reduced computation time. The experimental results show that the developed multi-physical tubular fuel Cell Model can be effectively executed in real-time within milliseconds range with over hundreds of control volumes.
Richard Hanke-rauschenbach - One of the best experts on this subject based on the ideXlab platform.
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Passivity based control of a distributed PEM fuel Cell Model
Journal of Process Control, 2010Co-Authors: Michael Mangold, Andreas Bück, Richard Hanke-rauschenbachAbstract:Abstract This work considers the controlled load change of proton exchange membrane (PEM) fuel Cells. Due to the intrinsic nonlinearities of fuel Cells, load changes are quite challenging. In the case of a low temperature PEM fuel Cell, there is the possibility of undesired liquid water formation. Most available control concepts are heuristic linear controller structures based on a perfectly mixed fuel Cell Model. In this work a nonlinear controller for one-dimensional spatially distributed Model of a PEM fuel Cell is presented. The fuel Cell Model is derived from first principles. The concept of passivity is used to design the controller. A suitable control Lyapunov function is chosen and passivity of the fuel Cell is shown. A state-feedback law is derived that can guarantee stability of the closed-loop system over a wide range of operation conditions. In order to make the feedback law applicable to fuel Cells with limited measurement information an observer is designed. In a final step the state-feedback law and the observer are combined to an output-feedback controller.
Biao Huang - One of the best experts on this subject based on the ideXlab platform.
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Identifiability and estimability study for a dynamic solid oxide fuel Cell Model
Computers & Chemical Engineering, 2009Co-Authors: Barath Ram Jayasankar, Amos Ben-zvi, Biao HuangAbstract:In this work the identifiability and estimability of a 17-state nonlinear solid oxide fuel Cell Model are studied. A Model is identifiable if the value of each Model parameter can be uniquely determined under ideal conditions. A Model is estimable if each parameter can be determined from a specific experimental design or data set. The identifiability of the fuel Cell Model was tested by partitioning the main Model into four subModels whose identifiability could be verified. The estimability of the Model was studied using sensitivity analysis. The Model of interest was found to be identifiable in all parameters. The estimability of parameters was tested by varying the external load as a step and also as a square pulse. The charge transfer capacitance was found to be inestimable from a step change in the external load for a specific cut-off value, whereas all five parameters are estimable from a square pulse design of the external load input. This study forms a basis for experimental studies.