Online identification of semi-empirical model parameters for PEMFCs

Ettihir, Khalid; Boulon, Loïc; Becherif, Mohamed; Agbossou, Kodjo; Ramadan, Haïtham Saad Mohamed

doi:10.1016/j.ijhydene.2014.10.045

Cited by 69 publications

(42 citation statements)

References 52 publications

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“…Some models take into consideration just the steady state of the electrical part, the work of Saadi et al [14] or Ettihir et al [15] give a good comparison between different steady state electrical models. Water management in PEMFC systems is a critical point, so that plenty of models have the purpose of modeling the water transport, such as the work of Boulon et al [16].…”

Section: The Estimation Of the Liquid Water Massmentioning

confidence: 99%

A lumped fluidic model of an anode chamber for fault tolerant strategy design

Fukuhara

Marx

Ettihir

et al. 2016

International Journal of Hydrogen Energy

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Section: The Estimation Of the Liquid Water Massmentioning

confidence: 99%

A lumped fluidic model of an anode chamber for fault tolerant strategy design

Fukuhara

Marx

Ettihir

et al. 2016

International Journal of Hydrogen Energy

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“…The first-order GFRF H 1 (f 1 ) represents the linear part of the Eq. (15) and is plotted in Fig. 10.…”

Section: Frequency-domain Analysismentioning

confidence: 99%

Nonlinear modeling and identification of proton exchange membrane fuel cell (PEMFC)

Cheng

Liu

2015

International Journal of Hydrogen Energy

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“…Ettihir et al have proposed the utilization of a semi‐empirical model, which is only a function of current, with a recursive least square method to get the characteristics of the PEMFC online . They have integrated their work into the EMS design of a FCV as well, and achieved interesting results . Kelouwani et al have suggested an experimental study based on tracing the maximum efficiency of the PEMFC.…”

Section: Introductionmentioning

confidence: 99%

“…The studied papers indicate that many online and real‐time EMSs have been proposed for FCVs. However, only a few of them, like , , have tried to take into account the real characteristics of the PEMFCs.…”

Section: Introductionmentioning

confidence: 99%

“…This integration provides one with online characteristics of a PEMFC, such as polarization curve, maximum power, and efficiency, which can be used in an EMS loop to update the constraints and related control laws. Compared to other works, the main contribution of this work is online parameters estimation of a multi‐input (current, temperature, and pressure) semi‐empirical model, which has eight parameters, simultaneously, as opposed to a single‐input (current) model with four parameters used in , . Since the intrinsic dynamic of current, temperature, and pressure are completely different, a multi‐input model identification is more challenging than a single‐input one.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

et al. 2018

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Output power of a fuel cell (FC) stack can be controlled through operating parameters (current, temperature, etc.) and is impacted by ageing and degradation. However, designing a complete FC model which includes the whole physical phenomena is very difficult owing to its multivariate nature. Hence, online identification of a FC model, which serves as a basis for global energy management of a fuel cell vehicle (FCV), is considerably important. In this paper, two well‐known recursive algorithms are compared for online estimation of a multi‐input semi‐empirical FC model parameters. In this respect, firstly, a semi‐empirical FC model is selected to reach a satisfactory compromise between computational time and physical meaning. Subsequently, the algorithms are explained and implemented to identify the parameters of the model. Finally, experimental results achieved by the algorithms are discussed and their robustness is investigated. The ultimate results of this experimental study indicate that the employed algorithms are highly applicable in coping with the problem of FC output power alteration, due to the uncertainties caused by degradation and operation condition variations, and these results can be utilized for designing a global energy management strategy in a FCV.

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Online identification of semi-empirical model parameters for PEMFCs

Cited by 69 publications

References 52 publications

A lumped fluidic model of an anode chamber for fault tolerant strategy design

A lumped fluidic model of an anode chamber for fault tolerant strategy design

Nonlinear modeling and identification of proton exchange membrane fuel cell (PEMFC)

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

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