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Battery cycler to generate open li-ion cell aging data and models

Luh, Matthias ORCID iD icon 1,2; Blank, Thomas ORCID iD icon 2
1 Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT)
2 Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)

Abstract:

Battery degradation is relevant for the lifetime, cost, and life cycle analysis of electric vehicles and stationary storages. Publicly available, reusable battery aging data is scarce and aging experiments are time-consuming and expensive. This paper starts with an overview of existing battery aging data and models. We then present our battery cycler hardware, which we intend to use to generate open battery degradation data and models. After analyzing the switching behavior, efficiency, and control behavior of the hardware, this paper gives an overview of the generated data and the user interface of the battery cycler. Finally, we provide an outlook on the further development of the project.


Postprint §
DOI: 10.5445/IR/1000162466
Frei zugänglich ab 01.10.2024
Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 17.10.2022
Sprache Englisch
Identifikator ISBN: 978-9-0758-1539-9
KITopen-ID: 1000162466
Erschienen in 2022 24th European Conference on Power Electronics and Applications (EPE'22 ECCE Europe)
Veranstaltung 24th European Conference on Power Electronics and Applications (EPE`23 ECCE Europe 2022), Hannover, Deutschland, 05.09.2022 – 09.09.2022
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten P.1 – P.10
Externe Relationen Siehe auch
Schlagwörter Batteries, Lifetime, Power cycling, Battery impedance measurement, Gallium Nitride (GaN)
Nachgewiesen in Scopus
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