Dynamic modeling and experimental analysis of PEMFCs: A comparative study

Saadi, Aïcha; Becherif, Mohamed; Hissel, Daniel; Ramadan, Haïtham Saad Mohamed

doi:10.1016/j.ijhydene.2016.07.180

Cited by 73 publications

(30 citation statements)

References 33 publications

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“…In addition, Saddi et al. proposed the electrical equivalent circuit model and considered the temperature. They got a similar change in the polarization curve.…”

Section: Resultsmentioning

confidence: 99%

Numerical and Experimental Investigation of the Asymmetric Humidification and Dynamic Temperature in Proton Exchange Membrane Fuel Cell

et al. 2020

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The relative humidity is an important parameter reflecting the performance of proton exchange membrane (PEM) fuel cells, which is often accompanied by changes in heat and temperature. In order to study the different humidification effects on the performance of PEM fuel cells, a temperature and heat transfer (T&HT) model is presented. The innovation of this paper is to study the performance of fuel cell (FC) from the perspective of temperature heat transfer by asymmetric humidification. Firstly, symmetrical humidification experiments are performed at three operating temperatures. After that, a three‐dimensional (3D) structure is built using fluent and T&HT model is imported through custom functions. Secondly, the asymmetric humidification experiment is put into practice with 60 °C operating temperature. Furthermore, the Taguchi method is used to optimize the performance of fuel cells in the crossover experiment. Finally, the experimental and numerical results are compared by the contours and polarization curves. The results show that T&HT model is in agreement with the experiment, and asymmetric humidification is more reasonable and flexible than symmetrical humidification. When the cathode relative humidity is 50% and the anode relative humidity is 75%, the maximum optimization rate of system efficiency is 17%.

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“…In addition, Saddi et al. proposed the electrical equivalent circuit model and considered the temperature. They got a similar change in the polarization curve.…”

Section: Resultsmentioning

confidence: 99%

Numerical and Experimental Investigation of the Asymmetric Humidification and Dynamic Temperature in Proton Exchange Membrane Fuel Cell

et al. 2020

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“…Depending on the purpose and the accuracy required, a variety of models have been developed for hydrogen fuel cells [43]. The FC used in this work is a PEMFC Nexa Ballard 1.2 kW/24 V. To reproduce its dynamic and energetic characteristics, an electric equivalent circuit based model is employed ( Figure 4) [44].…”

Section: Fuel Cellmentioning

confidence: 99%

Auto-Adaptive Filtering-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles

et al. 2018

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The global need to solve pollution problems has conducted automotive engineers to promote the development and the use of electric vehicle technologies. This paper focuses on the fuel cell hybrid electric vehicle which uses a proton exchange membrane fuel cell as a main source associated to hybrid storage device: lithium ion battery and ultracapacitors. A common interest in such technology is to spread out the energy flow between its different sources in order to satisfy the power demand for any requested mission. However, the challenging task stills the optimization of this split to reduce hydrogen consumption and respect, at the same time, the system limitations such as admissible limits of storage system capacities and battery current variation. An adaptive filtering-based energy management strategy is proposed in this paper to ensure an optimum distribution of the energy between the sources taking into account dynamic and energetic constraints of each device. For more performance, a fuzzy logic system is used to adapt the frequency of separation with the system state evolution. A sliding mode control is applied to control electric characteristics (voltage and currents) in the considered hybrid power supply. Simulation results, obtained under MATLAB R /SimPowerSystems R for four driving cycles are presented. The proposed strategy achieved good performances by respecting the ultracapacitors state of charge while preserving the battery lifetime under various driving missions.

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“…The offline EIS data-driven identification of PEM FC equivalent circuits is also discussed in the literature. For instance, in References [25,26], least square-based algorithms or Matlab built-in tools are used. Some attempts were also made to extract diagnostic information from EIS time-domain data with a recursive filtering approach [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

An Evolutionary Computation Approach for the Online/On-Board Identification of PEM Fuel Cell Impedance Parameters with A Diagnostic Perspective

et al. 2019

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Online/on-board diagnosis would help to improve fuel cell system durability and output power. Therefore, it is a feature the manufacturers may wish to provide for final users to increase the attractiveness of their product. This add-on requires suitable stack models, parametric identification tools and diagnostic algorithms to be run on low-cost embedded systems, ensuring a good trade-off between accuracy and computation time. In this paper, a computational approach for the impedance parameter identification of polymer electrolyte membrane fuel cell stack is proposed. The method is based on an evolutionary algorithm including sub-population and migration features, which improves the exploration capability of the search space. The goal of the evolutionary algorithm is to find the set of parameters that minimizes an objective function, representing the mismatch between two impedance plots in a normalized plane. The first plot is associated with experimental impedance and the second is computed on the basis of the identified parameters using a circuit model. Three kinds of impedance models, characterized by increasing computational complexity, are used, depending on the experimental data—a linear model made of resistors and capacitors, the Fouquet model and the Dhirde model. Preliminary analysis of the experimental impedance data may evidence correlations among parameters, which can be exploited to reduce the search space of an evolutionary algorithm. The computational approach is validated with literature data in a simulated environment and with experimental data. The results show good accuracy and a computational performance that fits well with the commercial embedded system hardware resources. The implementation of the approach on a low-cost off-the-shelf device achieves small computation times, confirming the suitability of such an approach to online/on-board applications. From a diagnostic perspective, the paper outlines a diagnostic approach based on the identified impedance parameters, on the basis of a small set of experimental data including fuel cell stack faulty conditions.

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Dynamic modeling and experimental analysis of PEMFCs: A comparative study

Cited by 73 publications

References 33 publications

Numerical and Experimental Investigation of the Asymmetric Humidification and Dynamic Temperature in Proton Exchange Membrane Fuel Cell

Numerical and Experimental Investigation of the Asymmetric Humidification and Dynamic Temperature in Proton Exchange Membrane Fuel Cell

Auto-Adaptive Filtering-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles

An Evolutionary Computation Approach for the Online/On-Board Identification of PEM Fuel Cell Impedance Parameters with A Diagnostic Perspective

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