4.5 Article

Development and Implementation of Statistical Methods for Quality Optimization in the Large-Format Lithium-Ion Cells Production

期刊

ENERGY TECHNOLOGY
卷 8, 期 2, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/ente.201900244

关键词

design of experiments; data-driven process optimization; PHEV-1 cells production; quality assurance; waste reduction

资金

  1. German Federal Ministry of Education and Research (BMBF) [03XP0076A, 03XP0076B]

向作者/读者索取更多资源

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.

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