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

Rüther, T., Gosea, I. V., Jahn, L., Antoulas, A. C., & Danzer, M. A. (2023). Introducing the Loewner Method as a Data-Driven and Regularization-Free Approach for the Distribution of Relaxation Times Analysis of Lithium-Ion Batteries. batteries, 9(2): 132. doi:10.3390/batteries9020132.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-AB2D-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-AB2E-1
Genre: Journal Article

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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
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 Creators:
Rüther, Tom1, Author
Gosea, Ion Victor2, Author           
Jahn, Leonard1, Author
Antoulas, Athanasios C.3, 4, Author           
Danzer, Michael A.1, Author
Affiliations:
1University of Bayreuth, ou_persistent22              
2Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
3Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_2453691              
4Rice University, ou_persistent22              

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 Dates: 2023
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.3390/batteries9020132
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Title: batteries
Source Genre: Journal
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Pages: - Volume / Issue: 9 (2) Sequence Number: 132 Start / End Page: - Identifier: -