Physics Informed Neural Network and RC model of Li-Ion Battery
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU146089" target="_blank" >RIV/00216305:26220/22:PU146089 - isvavai.cz</a>
Result on the web
<a href="https://aba-brno.cz/download/2022-ABAF-Proceeding.pdf" target="_blank" >https://aba-brno.cz/download/2022-ABAF-Proceeding.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Physics Informed Neural Network and RC model of Li-Ion Battery
Original language description
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.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/ED0014%2F01%2F01" target="_blank" >ED0014/01/01: Research and Technology Centre of Renewable Energy Sources</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů