Publication detail

Physics Informed Neural Network and RC model of Li-Ion Battery

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

Original Title

Physics Informed Neural Network and RC model of Li-Ion Battery

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

Li-Ion battery; neural network; PINN

Authors

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

Released

21. 8. 2022

Publisher

Brno University of Technology Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6088-1

Book

Advanced Batteries Accumulators and Fuel Cells – 23rd ABAF

Edition

1

Pages from

175

Pages to

177

Pages count

3

URL

https://aba-brno.cz/download/2022-ABAF-Proceeding.pdf

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"
}