Detail publikačního výsledku

Approximation of Alkaline Battery Transfer Function Using Neural Network

CIPÍN, R.; TOMAN, M.; PROCHÁZKA, P.; PAZDERA, I.; MIKLÁŠ, J.

Originální název

Approximation of Alkaline Battery Transfer Function Using Neural Network

Anglický název

Approximation of Alkaline Battery Transfer Function Using Neural Network

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

This paper deals with a mathematical description of an alkaline battery impedance dependence on frequency. This mathematical description is done in two different ways. In the first case, a general fractional transfer function is used and in the second case an artificial neural network is used. Both approaches are discussed and compared with real measurements.

Anglický abstrakt

This paper deals with a mathematical description of an alkaline battery impedance dependence on frequency. This mathematical description is done in two different ways. In the first case, a general fractional transfer function is used and in the second case an artificial neural network is used. Both approaches are discussed and compared with real measurements.

Klíčová slova

Li-ion; model

Klíčová slova v angličtině

Li-ion; model

Autoři

CIPÍN, R.; TOMAN, M.; PROCHÁZKA, P.; PAZDERA, I.; MIKLÁŠ, J.

Rok RIV

2021

Vydáno

06.09.2020

ISBN

978-80-214-5889-5

Strany od

1

Strany do

3

Strany počet

3

BibTex

@inproceedings{BUT165873,
  author="Radoslav {Cipín} and Marek {Toman} and Petr {Procházka} and Ivo {Pazdera} and Ján {Mikláš}",
  title="Approximation of Alkaline Battery Transfer Function Using Neural Network",
  year="2020",
  pages="1--3",
  isbn="978-80-214-5889-5"
}