Publication date: 15th December 2025
To move towards wide-spread adoption of renewable energy sources we need sufficient energy storage technologies. To meet growing demand and continue to diversify supply chains, it is necessary not only to optimise existing battery technologies but also explore next-generation battery materials. However, it is not typically possible to test a wide variety of materials and chemistries simultaneously. Materials synthesis is traditionally a time-intensive process, particularly with respect to optimisation of novel materials. Additionally, coin cell assembly and subsequent electrochemical data suffer due to human error and inconsistencies during cell assembly, often resulting in large variation between datasets.
The DIGIBAT facility at Imperial College London provides tools to automate both material synthesis and cell assembly, removing these roadblocks. Automation allows for continuous experimentation done in a reliably reproducible way, enabling the generation of large, consistent, datasets. Thereby, the research process is accelerated while simultaneously improving results.
This presentation will compare initial results from manual and automated coin cell assembly, probing how true these statements about automation are, discussing both the advantages and any limitations encountered so far. Additionally, the automated synthesis of hard carbon (as the anode for sodium ion batteries) will be explored, with both the advantages and challenges when creating an automated workflow being discussed.
