Model‐Based Uncertainty Quantification for the Product Properties of 
Lithium‐Ion Batteries

Laue, Vincent; Schmidt, Oke; Dreger, Henning; Xie, Xiangzhong; Röder, Fridolin; Schenkendorf, René; Kwade, Arno; Krewer, Ulrike

doi:10.1002/ente.201900201

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Model‐Based Uncertainty Quantification for the Product Properties of Lithium‐Ion Batteries

Laue, V., Schmidt, O., Dreger, H., Xie, X., Röder, F., Schenkendorf, R., et al. (2020). Model‐Based Uncertainty Quantification for the Product Properties of Lithium‐Ion Batteries. Energy Technology, 8: 1900201. doi:10.1002/ente.201900201.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-1625-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-1626-5

Genre: Journal Article

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Creators:
Laue, Vincent^{1, 2}, Author
Schmidt, Oke^{1, 2}, Author
Dreger, Henning^{2, 3}, Author
Xie, Xiangzhong^{1, 4}, Author
Röder, Fridolin^{1, 2}, Author
Schenkendorf, René¹, Author
Kwade, Arno^{2, 3}, Author
Krewer, Ulrike^{1, 2}, Author

Affiliations:
1Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany, ou_persistent22
2Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany, ou_persistent22
3Institute for Particle Technology, TU Braunschweig, Volkmaroder Strasse 5, D-38104 Braunschweig, Germany, ou_persistent22
4International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143

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Language(s): eng - English

Dates: Published Online: 2019-03-29Date issued: 2020

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1002/ente.201900201

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Title: Energy Technology

Source Genre: Journal

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Pages: - Volume / Issue: 8 Sequence Number: 1900201 Start / End Page: - Identifier: ISSN: 2194-4288
ISSN: 2194-4296