B3ES: Optimization strategies for 3D battery electrodes
Research project corresponding to the call 2023 and reference PID2023-148703OA-I00, for grants for «Proyectos de Generación de Conocimiento».3D structuration of batteries has been gaining momentum lately with the promise of higher charge-discharge rates while reducing the adverse effects on the battery lifetime. This has been shown experimentally and computationally, however, there is a step still missing, the connection between these two. The main change produced by the 3D structuration of batteries is the change in the rate performance.
However, until now this magnitude has been poorly characterized experimentally. Recently it has been developed a methodology able to quantify the rate performance and bridge it to physical-based models, the so-called master-curve model.
The problem with the master curve is that the parameters that link the experimental with the modelling are based on 2D-shaped electrodes, and it has been never applied in 3D structures. Thus, this is the problem that B3ES aims to solve, bring this methodology to 3D devices.
In B3ES we will use the strength of the master-curve model to create a methodology to quantify the performance of experimental 3D devices and relate it to the shape of the devices. We will do this by intertwining significant experimental and modelling efforts with a close interaction between them. The data extracted experimentally will be combined with physical-based models to understand the limiting mechanisms behind each shape and current applied. This will allow us to re-design the semi-empiric master curve model and make it work for 3D structures. B3ES will provide a radically new tool to the battery community for the design of optimal 3D batteries.
Partners: IMDEA Energy Institute
Funding Institution/Program: Ministry of Science, Innovation and Universities / FEDER-UE / Proyectos de Generación de Conocimiento 2023
Period: September 2024-August 2027
IMDEA Energy Institute external funding: 150.000 €
IP IMDEA Energy: Dr. Sergio Pinilla

Grant PID2023-148703OA-I00 funded by MICIU/AEI /10.13039/501100011033 and by ERDF/EU