Issue 6, 2022

Robotic cell assembly to accelerate battery research

Abstract

Manual cell assembly confounds with research digitalization and reproducibility. Both are however needed for data-driven optimization of cell chemistries and charging protocols. Therefore, we present herein an automatic battery assembly system (AutoBASS) that is capable of assembling batches of up to 64 CR2023 cells. AutoBASS allows us to acquire large datasets on in-house developed chemistries and is herein demonstrated with LNO and Si@Graphite electrodes with a focus on formation and manufacturing data. The large dataset enables us to gain insights into the formation process through dQ/dV analysis and assess cell to cell variability. Exact robotic electrode placement provides a baseline for laboratory-scale manufacturing and reproducibility towards the accelerated translation of findings from the laboratory to the pilot plant scale.

Graphical abstract: Robotic cell assembly to accelerate battery research

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Article information

Article type
Communication
Submitted
26 5月 2022
Accepted
06 10月 2022
First published
12 10月 2022
This article is Open Access
Creative Commons BY license

Digital Discovery, 2022,1, 755-762

Robotic cell assembly to accelerate battery research

B. Zhang, L. Merker, A. Sanin and H. S. Stein, Digital Discovery, 2022, 1, 755 DOI: 10.1039/D2DD00046F

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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