NaGrams - Enabling Sodium-ion (Na) battery electrode with tailored Graphene micro-structure
Reference number | |
Coordinator | GraphMaTech AB |
Funding from Vinnova | SEK 298 000 |
Project duration | May 2020 - November 2020 |
Status | Completed |
Venture | Strategic innovation program SIO Grafen |
Call | SIO Grafen - Collaboration on commercial graphene applications, spring 2020 |
Important results from the project
** Denna text är maskinöversatt ** The overall goal of the project was to find several (3) different tools / measurement techniques to speed up the development and optimization of Graphene / Fennac mixtures for battery electrodes AND to use these results to identify key parameters, and set up development strategies for the next step. We managed to adapt 2 (out of 3) measuring tools, as well as find several bad mixing strategies, but also a strategy that gave us improvements in electrode performance. This gives some of the tools and direction/strategies for continued development work
Expected long term effects
** Denna text är maskinöversatt ** We succeeded in developing techniques for coating the Graphen/Fennac battery to electrodes, with similar thicknesses as previous formulations (using ref formualtion containing carbon), and to minimize crackformation for these. The conductivity (x, y, z) and the morphologies were mapped and compared with the data and the properties of the battery cells. Based on this, we managed to figure out how NOT to do and we found at least one strategy that was successful. This allows us to focus, as well as draw up the strategy, for the subsequent development work.
Approach and implementation
** Denna text är maskinöversatt ** The project had to be redirected from a collaborative "hands on" work (due to corona), to a more "reduced experimental plan" - where the partners did their respective parts in a linear flow. This meant that not as many trials could be carried out as planned, and that the schedule was delayed. This also led to longer "response times" on the results, which resulted in a poorer feedback loop. However, we succeeded well in planning the flow of the experiments, so that conclusions could be drawn in the right order and maximize our results, given the conditions!