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Short‐Term Tests, Long‐Term Predictions – Accelerating Ageing Characterisation of Lithium‐Ion Batteries

Paarmann, Sabine 1; Schreiber, Markus; Chahbaz, Ahmed; Hildenbrand, Felix; Stahl, Gereon; Rogge, Marcel; Dechent, Philipp; Queisser, Oliver 1; Frankl, Sebastian Dominic; Morales Torricos, Pablo; Lu, Yao; Nikolov, Nikolay I.; Kateri, Maria; Sauer, Dirk Uwe; Danzer, Michael A.; Wetzel, Thomas 1; Endisch, Christian; Lienkamp, Markus; Jossen, Andreas; ... mehr

Abstract:

For the battery industry, quick determination of the ageing behaviour of lithium-ion batteries is important both for the evaluation of existing designs as well as for R&D on future technologies. However, the target battery lifetime is 8–10 years, which implies low ageing rates that lead to an unacceptably long ageing test duration under real operation conditions. Therefore, ageing characterisation tests need to be accelerated to obtain ageing patterns in a period ranging from a few weeks to a few months. Known strategies, such as increasing the severity of stress factors, for example, temperature, current, and taking measurements with particularly high precision, need care in application to achieve meaningful results. We observe that this challenge does not receive enough attention in typical ageing studies. Therefore, this review introduces the definition and challenge of accelerated ageing along existing methods to accelerate the characterisation of battery ageing and lifetime modelling. We systematically discuss approaches along the existing literature. In this context, several test conditions and feasible acceleration strategies are highlighted, and the underlying modelling and statistical perspective is provided. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000175125
Veröffentlicht am 17.10.2024
Originalveröffentlichung
DOI: 10.1002/batt.202300594
Scopus
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Thermische Verfahrenstechnik (TVT)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 11.2024
Sprache Englisch
Identifikator ISSN: 2566-6223
KITopen-ID: 1000175125
Erschienen in Batteries and Supercaps
Verlag John Wiley and Sons
Band 7
Heft 11
Seiten Art.-Nr.: e202300594
Vorab online veröffentlicht am 23.09.2024
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Scopus
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