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Because of the complex dynamic behavior of supercapacitor, its modeling must be based on parallel, distributed structures (each component has to represent a model of activity, distributed on many processing units), with learning capacity. For this purpose, the paper proposes a new feed forward artificial neural network structure with two hidden layers and with backpropagation training. The neural...
With the development of smart grid, energy storage technology will play an increasingly important role in the power system. As an excellent quick energy storage device, super capacitors have instantaneous power densities more significant than batteries and energy densities larger than dielectric capacitors, and have been widely applied to power quality conditioning equipment, new energy power generation...
This paper deals with the fractional order modelling of the supercapacitor voltage response for a given current profile. The model is obtained using the porous electrode theory applied on the supercapacitor case. In order to simplify the complexity of the model, it is assumed that there is no diffusion process in the electrolyte. These assumption leads to neglect the supercapacitor self-discharge...
The main goal of this paper is to establish a link between the ultracapacitors impedance at low frequency and slow phenomena such as self-discharge and charge recovery. Usually these phenomena are studied in the time domain. However, additional information can be extracted from specific characterization methods in the frequency domain like impedance spectroscopy. In this way, we intend to introduce...
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