Descrizione del progetto
I produttori di batterie caricheranno in anticipo con una piattaforma di modellazione open source
Le batterie ricaricabili agli ioni di litio (LIB, Lithium-Ion Batteries) alimentano qualsiasi cosa, dall’elettronica portatile alle automobili elettriche. Dal lancio della prima batteria, quasi 30 anni fa, le batterie hanno continuato a evolversi per supportare la rapida innovazione dei prodotti che dipendono da esse. Una strozzatura fondamentale nelle LIB attuali è il materiale catodico. I catodi a base di nichel-manganese-cobalto (NMC) sono tra i più promettenti. Questi materiali potrebbero ridurre notevolmente i costi e consentire un’autonomia di guida più lunga per i veicoli elettrici di domani. Il progetto DEFACTO, finanziato dall’UE, prevede di potenziare lo sviluppo di LIB di prossima generazione per il mercato automobilistico con uno strumento di modellazione open source completo. Utilizzando i dati sperimentali di due celle NMC esistenti per ottimizzare gli algoritmi, la piattaforma promette di ridurre i tempi e i costi di sviluppo migliorando le prestazioni e la durata.
Obiettivo
The DEFACTO project rationale is to develop a multiphysic and multiscale modelling integrated tool to better understand the material, cell and manufacturing process behaviour, therefore allowing to accelerate cell development and the R&I process. This approach will allow developing new high capacity and high voltage Li-ion cell generation 3b battery. This will increase the understanding of multiscale mechanisms and their interactions, reducing the R&D cell development resources, therefore unlocking an innovation-led cell manufacturing industry in Europe. The validated computational simulations will be a powerful tool to (i) tailor new optimum cell designs, (ii) optimise manufacturing steps of electrode processing and electrolyte filling, and (iii) shape new generation 3b materials.
This work will be based on an iterative exchange process for model development, validation and optimisation using two cell technologies for the automotive market: a commercial NMC622/G cell taken from the product portfolio from one of the DEFACTO partners and last generation prototypes (NMC811/G-Si). Characterisation tests will provide data for model development and validation, and for gaining understanding on ageing mechanisms. Sensitivity analysis will demonstrate model robustness and reduce the number of experiments needed during cell development. The optimization algorithms will enhance cell performance and durability through optimised designs and manufacturing processes. The novel fast-track cell development procedure achieved will be further extended to LMNO/G-Si prototypes. In parallel, the set of individual multiscale and multiphysic models will be compiled in an open-source simulation tool, including mechanical and electrochemical ageing with outstanding accuracy at reasonable computational cost. The project consortium, which covers the whole cell manufacturing value chain, has the required experience to ensure a smooth and high-quality delivery of the outcomes of the project.
Campo scientifico
- engineering and technologymechanical engineeringmanufacturing engineering
- natural sciencescomputer and information sciencescomputational sciencemultiphysics
- medical and health sciencesmedical biotechnologycells technologies
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Parole chiave
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-LC-BAT-2019
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
20014 San Sebastian
Spagna