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Capacity Distribution of Large Lithium‐Ion Battery Pouch Cells in Context with Pilot Production Processes
Author(s) -
Hoffmann Louisa,
Grathwol Jan-Kirsten,
Haselrieder Wolfgang,
Leithoff Ruben,
Jansen Tobias,
Dilger Klaus,
Dröder Klaus,
Kwade Arno,
Kurrat Michael
Publication year - 2020
Publication title -
energy technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.91
H-Index - 44
eISSN - 2194-4296
pISSN - 2194-4288
DOI - 10.1002/ente.201900196
Subject(s) - context (archaeology) , lithium (medication) , battery (electricity) , process engineering , production (economics) , lithium ion battery , computer science , process (computing) , relevance (law) , biochemical engineering , engineering , power (physics) , physics , medicine , macroeconomics , quantum mechanics , law , political science , economics , biology , endocrinology , operating system , paleontology
The increasing relevance of automotive lithium‐ion battery cells spotlights the importance of economic production in a high quantity. In this context, production technology for large battery formats is of great relevance. Therefore, it is necessary to identify effects on important cell properties, and based on this, develop an understanding of the interaction between process parameters and product properties. Large‐format cells are not comprehensively examined, particularly, in a large sample size, analyzing cell properties in terms of distributed values. Hence, there is so far no statistical data concerning large‐format batteries and their distributed discharge capacity and self‐discharge. For this reason, and in contrast to other studies, the scope of this work is to investigate a large sample size of 79 industrial‐scale 9 Ah battery cells to ensure statistical relevance and generate distributed data of cell properties. For this purpose, a large number of cells are produced and extensively electrochemically investigated. Subsequently, the essential parameters are correlated with the electrode parameter of carbon black particle size. Hence, the foundation for this process–product–property relationship is laid.