Publication detail

Approximation of Alkaline Battery Transfer Function Using Neural Network

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

Original Title

Approximation of Alkaline Battery Transfer Function Using Neural Network

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

Li-ion; model

Authors

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

Released

6. 9. 2020

ISBN

978-80-214-5889-5

Pages from

1

Pages to

3

Pages count

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"
}