TY - JOUR
T1 - Short-Term Tests, Long-Term Predictions – Accelerating Ageing Characterisation of Lithium-Ion Batteries
AU - Paarmann, Sabine
AU - Schreiber, Markus
AU - Chahbaz, Ahmed
AU - Hildenbrand, Felix
AU - Stahl, Gereon
AU - Rogge, Marcel
AU - Dechent, Philipp
AU - Queisser, Oliver
AU - Frankl, Sebastian Dominic
AU - Morales Torricos, Pablo
AU - Lu, Yao
AU - Nikolov, Nikolay I.
AU - Kateri, Maria
AU - Sauer, Dirk Uwe
AU - Danzer, Michael A.
AU - Wetzel, Thomas
AU - Endisch, Christian
AU - Lienkamp, Markus
AU - Jossen, Andreas
AU - Lewerenz, Meinert
N1 - Publisher Copyright:
© 2024 The Authors. Batteries & Supercaps published by Wiley-VCH GmbH.
PY - 2024
Y1 - 2024
N2 - 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. This makes the review valuable for all who set up ageing tests, interpret ageing data, or rely on ageing data to predict battery lifetime.
AB - 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. This makes the review valuable for all who set up ageing tests, interpret ageing data, or rely on ageing data to predict battery lifetime.
KW - accelerated ageing methods
KW - ageing mechanisms
KW - electrochemistry
KW - energy conversion
KW - high precision measurements
UR - http://www.scopus.com/inward/record.url?scp=85204482960&partnerID=8YFLogxK
U2 - 10.1002/batt.202300594
DO - 10.1002/batt.202300594
M3 - Review article
AN - SCOPUS:85204482960
SN - 2566-6223
JO - Batteries and Supercaps
JF - Batteries and Supercaps
ER -