Introducing the Loewner Method as a Data-Driven and Regularization-Free Approach for the Distribution of Relaxation Times Analysis of Lithium-Ion Batteries

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dc.citation.articleNumber132en_US
dc.citation.issueNumber2en_US
dc.citation.journalTitleBatteriesen_US
dc.citation.volumeNumber9en_US
dc.contributor.authorRüther, Tomen_US
dc.contributor.authorGosea, Ion Victoren_US
dc.contributor.authorJahn, Leonarden_US
dc.contributor.authorAntoulas, Athanasios C.en_US
dc.contributor.authorDanzer, Michael A.en_US
dc.date.accessioned2023-03-10T19:04:12Zen_US
dc.date.available2023-03-10T19:04:12Zen_US
dc.date.issued2023en_US
dc.description.abstractFor the identification of processes in lithium-ion batteries (LIB) by electrochemical impedance spectroscopy, frequency data is often transferred into the time domain using the method of distribution of relaxation times (DRT). As this requires regularization due to the ill-conditioned optimization problem, the investigation of data-driven methods becomes of interest. One promising approach is the Loewner method (LM), which has already had a number of applications in different fields of science but has not been applied to batteries yet. In this work, it is first deployed on synthetic data with predefined time constants and gains. The results are analyzed concerning the choice of model order, the type of processes , i.e., distributed and discrete, and the signal-to-noise ratio. Afterwards, the LM is used to identify and analyze the processes of a cylindrical LIB. To verify the results of this assessment a comparison is made with the generalized DRT at two different states of health of the LIB. It is shown that both methods lead to the same qualitative results. For the assignment of processes as well as for the interpretation of minor gains, the LM shows advantageous behavior, whereas the generalized DRT shows better results for the determination of lumped elements and resistive–inductive processes.en_US
dc.identifier.citationRüther, Tom, Gosea, Ion Victor, Jahn, Leonard, et al.. "Introducing the Loewner Method as a Data-Driven and Regularization-Free Approach for the Distribution of Relaxation Times Analysis of Lithium-Ion Batteries." <i>Batteries,</i> 9, no. 2 (2023) MDPI: https://doi.org/10.3390/batteries9020132.en_US
dc.identifier.digitalbatteries-09-00132-v3en_US
dc.identifier.doihttps://doi.org/10.3390/batteries9020132en_US
dc.identifier.urihttps://hdl.handle.net/1911/114499en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleIntroducing the Loewner Method as a Data-Driven and Regularization-Free Approach for the Distribution of Relaxation Times Analysis of Lithium-Ion Batteriesen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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