Review and analysis of fuel cell system modelling and control

Thanapalan, Kary; Liu, Shuai; Williams, Jonathan; Wang, Bo; Rees, D.

doi:10.1504/ijcaet.2009.022783

Cited by 19 publications

(13 citation statements)

References 51 publications

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“…There is no moving part in FC system that makes it a low-noise device (Marino, Peresada, and Valigi 1993;Thanapalan et al 2009). It is used for both stationary and mobile applications, and can offer significant advantages.…”

Section: Fcs Studymentioning

confidence: 99%

Study and performances analysis of fuel cell assisted vector control variable speed drive system used for electric vehicles

Pachauri

Chauhan

2015

International Journal of Sustainable Energy

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This paper is a novel attempt to combine two important aspects of fuel cell (FC). First, it presents investigations on FC technology and its applications. A description of FC operating principles is followed by the comparative analysis of the present FC technologies together with the issues concerning various fuels. Second, this paper also proposes a model for the simulation and performances evaluation of a proton exchange membrane fuel cell (PEMFC) generation system. Furthermore, a MATLAB/Simulink-based dynamic model of PEMFC is developed and parameters of FC are so adjusted to emulate a commercially available PEMFC. The system results are obtained for the PEMFC-driven adjusted speed induction motor drive (ASIMD) system, normally used in electric vehicles and analysis is carried out for different operating conditions of FC and ASIMD system. The obtained results prove the validation of system concept and modelling. Nomenclatureamb ambient pressure (atm.) V anode anode volume (m 3 ) V cathode cathode volume (m 3 ) k anode anode flow constant (mols −1 atm −1 ) k cathode cathode flow constant (mols −1 atm −1 ) CF O 2 O 2 flow rate conversion factor PF O 2 O 2 purity factor m in reactant inlet flow rate (mols −1 ) m out reactant outlet flow rate (mols −1 ) m H 2 mass of hydrogen at the anode (kg/mol) R H 2 H 2 gas constant (J/kg K) m O 2 mass of oxygen at the cathode (kg/mol) R O 2 O 2 gas constant (J/kg K) m H 2 O mass of water at the cathode (kg/mol) q H 2 O molar flow rate of water (mols −1 ) P H 2 hydrogen flow pressure (atm.) P O 2 oxygen flow pressure (atm.) P H 2 O water flow pressure (atm.) J current density (A/cm 2 ) P d power density (W/cm 2 ) U f fuel utilisation factor R s stator resistance (ohm) L s stator inductance (H) R r rotor resistance (ohm) L r rotor inductance (H) L m mutual inductance (H) Greek symbols τ H + time constant (s) α H + relational parameters (cmA −3 ) σ membrane conductivity (ohm −1 )

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Section: Fcs Studymentioning

confidence: 99%

Study and performances analysis of fuel cell assisted vector control variable speed drive system used for electric vehicles

Pachauri

Chauhan

2015

International Journal of Sustainable Energy

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“…The mass flow of vapour across the membrane mbr v W , is calculated using mass transport principles and membrane properties [1], [3] …”

Section: Hydration Modelmentioning

confidence: 99%

“…Broader details of the subject can be found in various reports, which summarise the modelling aspects and the problems experienced with fuel cells. These reports also suggest some technical solutions and analysis methods for some of the problems [3]. However, in general there are two types of models which have been proposed to investigate fuel cell technology via simulation.…”

Section: Introductionmentioning

confidence: 99%

Model based controller design for hydrogen fuel cell systems

Thanapalan¹,

Premier²,

Guwy³

2011

REPQJ

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In this paper, fuel cell system modelling alongside controller development for performance improvements, are investigated. Essentially and in general terms there are two approaches to modelling; black box modelling and detailed dynamic modelling. This work addresses both modelling approaches. These models are then used for hydrogen fuel cell (FC) controller development for improved system performance. A fuzzy-PID hybrid controller has been designed and tested and the results indicate that the fuzzy-PID hybrid control strategy can improve the system's performance significantly.

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“…In the automatic control field, new observation [1,2], diagnosis [3,4,5] and control [6,7,8] techniques are being developed to improve the operating conditions of PEMFC systems. Temperature, gas concentrations, current density and water content in the different layers, among others, affect the performance of the electrochemical system.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear observation in fuel cell systems: A comparison between disturbance estimation and High-Order Sliding-Mode techniques

Luna

Usai

Husar

et al. 2016

International Journal of Hydrogen Energy

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This paper compares two Nonlinear Distributed Parameter Observers (NDPO) for the observation of a Proton Exchange Membrane Fuel Cell (PEMFC). Both NDPOs are based on the discretisation of distributed parameters models and they are used to estimate the state profile of gas concentrations in the anode and cathode gas channels of the PEMFC, giving detailed information about the internal conditions of the system. The reaction and water transport flow rates from the membrane to the channels are uncertainties of the observation problem and they are estimated throughout all the length of the PEMFC without the use of additional sensors. The first observation approach is a Nonlinear Disturbance Observer (NDOB) for the estimation of the disturbances in the NDPO. In the second approach, a novel implementation of a High-Order Sliding-Mode (HOSM) observer is developed to estimate the true value of the states as well as the reaction terms. The proposed observers are tested and compared through a simulation example at different operating points and their performance and robustness is analysed over a given case study, the New European Driving Cycle.

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Review and analysis of fuel cell system modelling and control

Cited by 19 publications

References 51 publications

Study and performances analysis of fuel cell assisted vector control variable speed drive system used for electric vehicles

Study and performances analysis of fuel cell assisted vector control variable speed drive system used for electric vehicles

Model based controller design for hydrogen fuel cell systems

Nonlinear observation in fuel cell systems: A comparison between disturbance estimation and High-Order Sliding-Mode techniques

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