Data science in battery production

Using big data to improve coater quality in Lithium-ion battery manufacturing

Lithium-ion battery manufacture is a demanding application environment, with pressure to increase yield and reduce waste while at the same time driving up the speed of production. And with rapid market growth on a global scale, manufacturers need to explore new avenues to gain a competitive advantage.

Data holds the key, but while data availability is huge, traditional monitoring of machine overview data is no longer sufficient to drive the productivity gains that are required. This paper examines how we can dig deeper for genuine insights in the operation.

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