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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" }