Detail publikace
Physics Informed Neural Network and RC model of Li-Ion Battery
CIPÍN, R. TOMAN, M. PROCHÁZKA, P. PAZDERA, I.
Originální název
Physics Informed Neural Network and RC model of Li-Ion Battery
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
This paper deals with simulation of Li-ion battery in the form of an equivalent RC circuit. Physics informed Neural network is used for time-dependent simulations. The article deals with the problems associated with this kind of simulation.
Klíčová slova
Li-Ion battery; neural network; PINN
Autoři
CIPÍN, R.; TOMAN, M.; PROCHÁZKA, P.; PAZDERA, I.
Vydáno
21. 8. 2022
Nakladatel
Brno University of Technology Faculty of Electrical Engineering and Communication
Místo
Brno
ISBN
978-80-214-6088-1
Kniha
Advanced Batteries Accumulators and Fuel Cells – 23rd ABAF
Edice
1
Strany od
175
Strany do
177
Strany počet
3
URL
BibTex
@inproceedings{BUT179801,
author="Radoslav {Cipín} and Marek {Toman} and Petr {Procházka} and Ivo {Pazdera}",
title="Physics Informed Neural Network and RC model of Li-Ion Battery",
booktitle="Advanced Batteries Accumulators and Fuel Cells – 23rd ABAF",
year="2022",
series="1",
pages="175--177",
publisher="Brno University of Technology Faculty of Electrical Engineering and Communication",
address="Brno",
isbn="978-80-214-6088-1",
url="https://aba-brno.cz/download/2022-ABAF-Proceeding.pdf"
}