C&EN White Paper
Data analytics supercharge lithium-ion battery production
Brought to you by Sartorius

Lithium-ion batteries generate myriad data at all stages of production—from materials discovery to electrode and cell manufacturing. Data collected and aggregated in one stage facilitates decision-making for the next, increasing the importance of learning as much as possible about each data set along the way.

Learn how data analytics can be applied to different stages of lithium-ion battery manufacturing to achieve quick development, high product quality, maximum production efficiency, lower costs, and minimal waste.

Key Objectives:
  • How the design of experiments (DOE) data analysis technique can accelerate progress and time-to-market
  • How multivariate data analysis (MVDA) can result in better insights
  • Why high-quality data is key to getting the best analytics
  • Tips to find the right tools for gathering high-quality data

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