Publication detail

Lithium-ion battery SOH analysis

SEDLAŘÍK, M. KAZDA, T. VYROUBAL, P.

Original Title

Lithium-ion battery SOH analysis

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Battery State-of-Health modelling can significantly reduce the amount of costly laboratory tests in the application being analyzed. This paper discusses the prediction of the State of Health, an indicator of battery life, using support vector regression. This experiment is performed on a sample cell of a lithium-ion battery, which is subjected to a method known as the Constant Current Constant Voltage method, where the battery is charged and discharged at a constant current of 0.5 C. Although this method in this paper is applied in laboratory conditions and it is a controlled method, or it deviates from the battery cycling of real applications, it can be used in these applications, thus the scope of this research can predict the State-of-Health also in the areas of batteries used in mobile devices or electromobility. The State-of-Health indicator then determines whether the battery is still suitable for that primary application. Assuming that we can predict this parameter with some accuracy, it is then also possible to tell after what length of time a battery will need to be replaced and when it will be suitable for secondary applications such as stationary storage. Once it reaches that state, this calculation can be further applied to those applications as well.

Keywords

Li-ion battery, SOH, SVR, Estimation, CCCV

Authors

SEDLAŘÍK, M.; KAZDA, T.; VYROUBAL, P.

Released

23. 4. 2024

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6231-1

Book

Proceedings I of the 30th Conference STUDENT EEICT 2024

Edition

1

Pages from

227

Pages to

281

Pages count

5

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf

BibTex

@inproceedings{BUT188942,
  author="Marek {Sedlařík} and Tomáš {Kazda} and Petr {Vyroubal}",
  title="Lithium-ion battery SOH analysis",
  booktitle="Proceedings I of the 30th Conference STUDENT EEICT 2024",
  year="2024",
  series="1",
  pages="227--281",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6231-1",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf"
}