Electrochemical Impedance Spectroscopy Processing and Modelling for Lithium-ion Batteries Using Python and Jupiter

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00360879" target="_blank" >RIV/68407700:21230/22:00360879 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/ISSE54558.2022.9812762" target="_blank" >https://doi.org/10.1109/ISSE54558.2022.9812762</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ISSE54558.2022.9812762" target="_blank" >10.1109/ISSE54558.2022.9812762</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Electrochemical Impedance Spectroscopy Processing and Modelling for Lithium-ion Batteries Using Python and Jupiter

Popis výsledku v původním jazyce

This paper describes how to model a Lithium-ion battery's internal characteristics based on electrochemical impedance spectroscopy (EIS) data and their fitting into an Equivalent Circuit Model (ECM) using Python and the Jupyter development environment. The described method is used on an extensive dataset collected during an ageing campaign of lithium-ion batteries. The work aims to determine the correct values of ECM elements with satisfactory accuracy. The battery's ECM parameter interpretation provides essential information about its internal structure and mechanisms, which helps to understand its processes and estimate its future degradation. It was necessary to deal with two tasks: first, the processing of many measurements, and second, estimating the appropriate input parameters for the ECM. We have managed to practically automate the processing of more than one thousand files with measured data and design and gradually refine a method for estimating input parameters for ECM fitting.

Název v anglickém jazyce

Electrochemical Impedance Spectroscopy Processing and Modelling for Lithium-ion Batteries Using Python and Jupiter

Popis výsledku anglicky

This paper describes how to model a Lithium-ion battery's internal characteristics based on electrochemical impedance spectroscopy (EIS) data and their fitting into an Equivalent Circuit Model (ECM) using Python and the Jupyter development environment. The described method is used on an extensive dataset collected during an ageing campaign of lithium-ion batteries. The work aims to determine the correct values of ECM elements with satisfactory accuracy. The battery's ECM parameter interpretation provides essential information about its internal structure and mechanisms, which helps to understand its processes and estimate its future degradation. It was necessary to deal with two tasks: first, the processing of many measurements, and second, estimating the appropriate input parameters for the ECM. We have managed to practically automate the processing of more than one thousand files with measured data and design and gradually refine a method for estimating input parameters for ECM fitting.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2022 45th International Spring Seminar on Electronics Technology (ISSE)

ISBN

978-1-6654-6589-2

ISSN

2161-2528

e-ISSN

2161-2536

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE Press

Místo vydání

New York

Místo konání akce

Vienna

Datum konání akce

11. 5. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000853642200012