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MODALIS2

MODelling of Advanced LI Storage Systems

Tipologia
Progetti europei
Programma di ricerca
H2020
Ente finanziatore
UE
Budget
€ 4.846.105,00
Periodo
01/01/2020 - 01/01/2023
Prof. Lorenzo Maschio

Partecipanti al progetto

Descrizione del progetto

For a competitive EU battery sector, the development of next-generation battery systems needs cost-efficient processes. MODALIS2 will make a significant contribution to a cost-down for EV battery cells through an all- integrated development process based on numerical tools relying on extensive measurement data and material characterization all the way down to micro-structures. With the integrated modelling and simulation, MODALIS2 will provide degrees of freedom for the cell and battery development processes that allows to address the following design challenges: i) faster development of batteries with higher energy density with new materials; ii) faster development of materials with higher optimized performances for higher-energy battery applications; iii) improved battery safety during transport and operation; iv) optimization of cyclability; v) lower development costs; and vi) better understanding of material interactions within the cell.
The main achievement of MODALIS2 is to develop and validate modelling & simulation tools for Gen 3b cells by aiming for higher capacities for the positive & negative electrodes; and for Gen 4b cells by enabling the use of solid electrolytes for improved safety and to facilitate the use of Li-M for the negative electrode.
These new technologies are submitted to new specific mechanisms and phenomena (mechanical stresses on negative electrodes, volumetric expansion, solid electrolytic conduction) that are not considered by current modelling and simulation tools.
MODALIS2 will address the material characterization of next-generation (3b and 4b) Li-Ion cells in different physical domains, then expanding a carefully chosen set of models towards integrating new cell generations and implementing the models into a numerical simulations toolchain scalable to mass production.
The modelling & simulation toolchain will allow faster time-to-market for next-gen cells.

Note

Bando di ricerca: H2020-LC-BAT-2019
Ultimo aggiornamento: 25/07/2022 12:38