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Characterisation of a PEM electrolyser using the current interrupt method / Christiaan Adolph MartinsonMartinson, Christiaan Adolph January 2012 (has links)
The need to characterise a PEM electrolyser is motivated by a South African hydrogen
company. One of two electrochemical characterisation methods, namely the current
interrupt method or electrochemical impedance spectroscopy, is investigated to
characterise the PEM electrolyser. Various literature sources can be found on the
electrochemical characterisation methods.
In this study the current interrupt method is used for the electrochemical characterisation
of a PEM electrolyser. The current interrupt method is an electrical test method
that will be used to obtain an equivalent electric circuit model of the PEM electrolyser.
The equivalent electric circuit model relates to various electrochemical characteristics
such as the activation losses, the ohmic losses and the concentration losses.
Two variants of the current interrupt method, namely the natural voltage response
method and the current switching method, are presented. These methods are used to
obtain two different equivalent electric circuit models of the PEM electrolyser. The
parameters of the first equivalent electric circuit, namely the Randles cell, will be
estimated with the natural voltage response method. The parameters of the second
equivalent electric circuit, namely the Randles-Warburg cell, will be estimated with
the current switching method.
Simulation models of the equivalent electric circuits are developed and tested. The
simulation models are used to verify and validate the natural voltage response method
and the current switching method. The parameters of the Randles cell simulation
model is accurately calculated with the natural voltage response method. The
parameters of the Randles-Warburg cell simulation model is accurately calculated with
the current switching method.
The natural voltage response method and the current switching method are also
practically implemented. The results is used to indicate the various electrochemical
characteristics of the PEM electrolyser. A Nafion 117 type membrane was tested with the current interrupt method. The membrane resistance parameters of Randles cell
were estimated with the natural voltage response method. These values are validated
with conductivity measurements found in literature. The results of the Randles-
Warburg cell is validated with a system identification validation model. / Thesis (MIng (Computer and Electronic Engineering))--North-West University, Potchefstroom Campus, 2013
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Characterisation of a PEM electrolyser using the current interrupt method / Christiaan Adolph MartinsonMartinson, Christiaan Adolph January 2012 (has links)
The need to characterise a PEM electrolyser is motivated by a South African hydrogen
company. One of two electrochemical characterisation methods, namely the current
interrupt method or electrochemical impedance spectroscopy, is investigated to
characterise the PEM electrolyser. Various literature sources can be found on the
electrochemical characterisation methods.
In this study the current interrupt method is used for the electrochemical characterisation
of a PEM electrolyser. The current interrupt method is an electrical test method
that will be used to obtain an equivalent electric circuit model of the PEM electrolyser.
The equivalent electric circuit model relates to various electrochemical characteristics
such as the activation losses, the ohmic losses and the concentration losses.
Two variants of the current interrupt method, namely the natural voltage response
method and the current switching method, are presented. These methods are used to
obtain two different equivalent electric circuit models of the PEM electrolyser. The
parameters of the first equivalent electric circuit, namely the Randles cell, will be
estimated with the natural voltage response method. The parameters of the second
equivalent electric circuit, namely the Randles-Warburg cell, will be estimated with
the current switching method.
Simulation models of the equivalent electric circuits are developed and tested. The
simulation models are used to verify and validate the natural voltage response method
and the current switching method. The parameters of the Randles cell simulation
model is accurately calculated with the natural voltage response method. The
parameters of the Randles-Warburg cell simulation model is accurately calculated with
the current switching method.
The natural voltage response method and the current switching method are also
practically implemented. The results is used to indicate the various electrochemical
characteristics of the PEM electrolyser. A Nafion 117 type membrane was tested with the current interrupt method. The membrane resistance parameters of Randles cell
were estimated with the natural voltage response method. These values are validated
with conductivity measurements found in literature. The results of the Randles-
Warburg cell is validated with a system identification validation model. / Thesis (MIng (Computer and Electronic Engineering))--North-West University, Potchefstroom Campus, 2013
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Neural membrane mutual coupling characterisation using entropy-based iterative learning identificationTang, X., Zhang, Qichun, Dai, X., Zou, Y. 17 November 2020 (has links)
Yes / This paper investigates the interaction phenomena of the coupled axons while the mutual
coupling factor is presented as a pairwise description. Based on the Hodgkin-Huxley model and the coupling
factor matrix, the membrane potentials of the coupled myelinated/unmyelinated axons are quantified which
implies that the neural coupling can be characterised by the presented coupling factor. Meanwhile the
equivalent electric circuit is supplied to illustrate the physical meaning of this extended model. In order
to estimate the coupling factor, a data-based iterative learning identification algorithm is presented where
the Rényi entropy of the estimation error has been minimised. The convergence of the presented algorithm is
analysed and the learning rate is designed. To verified the presented model and the algorithm, the numerical
simulation results indicate the correctness and the effectiveness. Furthermore, the statistical description of the
neural coupling, the approximation using ordinary differential equation, the measurement and the conduction
of the nerve signals are discussed respectively as advanced topics. The novelties can be summarised as
follows: 1) the Hodgkin-Huxley model has been extended considering the mutual interaction between the
neural axon membranes, 2) the iterative learning approach has been developed for factor identification using
entropy criterion, and 3) the theoretical framework has been established for this class of system identification
problems with convergence analysis. / This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 51807010, and in part by the Natural Science Foundation of Hunan under Grant 1541 and Grant 1734. / Research Development Fund Publication Prize Award winner, Nov 2020.
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