作者: Artem Turetskyy , Jacob Wessel , Christoph Herrmann , Sebastian Thiede
DOI: 10.1016/J.PROCIR.2020.03.077
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摘要: Abstract In the production chain of Lithium-ion battery (LIB) cells, various processes influence intermediate product features, which then LIB performance. It is important to know these influences in order improve quality and control production. This paper presents a concept for data-driven cyber-physical system based on gates cell manufacturing. The utilizes modelling predict performance future cells by using features. prediction enables better assessment helps deriving recommendations latter processes.