ERC Consolidator Grant #772873
Prof. Alejandro A. Franco

Multiscale Modeling of Batteries: from fabrication to performance

A computational platform simulating the fabrication process of Lithium Ion Batteries and predicting their resulting electrochemical performance.

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Slurries formulation and electrodes fabrication

Slurries preparation and electrodes fabrication with a wide diversity of materials for models validation and parameterization.

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Battery Cell Electrochemical Testing

Standard and innovative battery cells electrochemical characterization.

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ARTISTIC Project Pillars

The Lithium Ion Battery Electrode Mesostructure

The mesostructure of the composite electrodes in lithium ion batteries, strongly impacts practical properties of these devices such as their energy density, recharge time, lifetime and safety. Such a mesostructure is characterized by the spatial location of the binder, active material and carbon additive particles in the volume of the electrode, and by the electrolyte distribution within the pores.

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ARTISTIC Project Motivations

The electrode mesostructure depends on the fabrication parameters. Their optimization in industry and academia is currently based on trial error approaches. It is crucial to develop predictive computational tools of the influence of the fabrication process parameters on the resulting electrode mesostructure and associated battery cell performance. This will allow saving time, money and to ease the integration of new chemistries in the already available processing.

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ARTISTIC Project Architecture

The ARTISTIC project is organized in four Work Packages. A computational platform is established connecting discrete particle models with continuum models. Discrete particle models allow predicting the electrode mesostructure as function of the fabrication parameters, whereas continuum models allow predicting the performance at the cell level as function of the electrode mesostructure. The resulting computational platform will allow performing both, direct and reverse engineering: it will allow predictions on how fabrication parameters impact the cell performance, but also recommendations on the most appropriate fabrication process (e.g. temperature to be applied in the solvent drying step) to fabricate electrodes with the desired performance targets.

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  • Prof. Alejandro A. Franco giving an invited lecture at the 242 Meeting of the Electrochemical Society -ECS- (October 11, 2022, Atlanta, USA)

    On October 11, 2022, Prof. Alejandro A. Franco is giving an invited lecture at the 242…

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  • Prof. Alejandro A. Franco giving an invited plenary lecture at the IBA 2022 conference (October 3, 2022, Bled, Slovenia)

    On October 3, 2022, Prof. Alejandro A. Franco is giving an invited plenary lecture at the…

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  • Prof. Alejandro A. Franco giving an invited lecture in the Huawei STW 2022 event (September 27, 2022, online).

    On September 27, 2022, Prof. Alejandro A. Franco is giving an invited lecture in the…

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