Development and Implementation of Statistical Methods for Quality Optimization in the Large-Format Lithium-Ion Cells Production
Oliver Meyer
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorClaus Weihs
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorStefan Mähr
Department of Production Research, Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW), Lise-Meitner-Strasse 24, 89081 Ulm, Germany
Search for more papers by this authorCorresponding Author
Hai-Yen Tran
Department of Production Research, Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW), Lise-Meitner-Strasse 24, 89081 Ulm, Germany
Search for more papers by this authorMichael Kirchhof
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorSarah Schnackenberg
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorJennifer Neuhaus-Stern
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorStefan Rößler
Department of Production Research, Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW), Lise-Meitner-Strasse 24, 89081 Ulm, Germany
Search for more papers by this authorWolfgang Braunwarth
Department of Production Research, Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW), Lise-Meitner-Strasse 24, 89081 Ulm, Germany
Search for more papers by this authorOliver Meyer
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorClaus Weihs
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorStefan Mähr
Department of Production Research, Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW), Lise-Meitner-Strasse 24, 89081 Ulm, Germany
Search for more papers by this authorCorresponding Author
Hai-Yen Tran
Department of Production Research, Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW), Lise-Meitner-Strasse 24, 89081 Ulm, Germany
Search for more papers by this authorMichael Kirchhof
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorSarah Schnackenberg
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorJennifer Neuhaus-Stern
Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany
Search for more papers by this authorStefan Rößler
Department of Production Research, Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW), Lise-Meitner-Strasse 24, 89081 Ulm, Germany
Search for more papers by this authorWolfgang Braunwarth
Department of Production Research, Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg (ZSW), Lise-Meitner-Strasse 24, 89081 Ulm, Germany
Search for more papers by this authorAbstract
Herein, two techniques to optimize the production process of large-format lithium-ion cells for plug-in hybrid electric vehicles using data-driven methods are introduced and demonstrated. The first approach uses standard settings of the quality influencing factors to maximize the number of produced electrode sheets that meet predefined quality specifications. The second approach uses statistical methods to determine the levels of the quality influencing factors of a certain process that optimizes all quality parameters of the corresponding product jointly.
Conflict of Interest
The authors declare no conflict of interest.
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