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"
}