CIC energiGUNE has been financed through grants for integral actions in the industrial chain of the electric and connected vehicle within the Strategic Project for the Recovery and Economic Transformation in the Electric and Connected Vehicle Sector (PERTE VEC), within the framework of the Recovery, Transformation and Resilience Plan, financed by the European Union and managed by the Ministry of Industry, Trade and Tourism.

In particular, its participation is included in a primary R&D&I project in individual modality entitled “Artificial intelligence, digitization and data management for the development process of high performance cells (PP27 VEC-020100-2022-127)” with 750. 791 € of fundable budget with start date 01/10/2022 ending on 31/03/2025, and in the Training project in cooperation with Basquevolt entitled “Training for the start-up of the pilot line for cell manufacturing (PP31 VEC-020400-2022-29)” with 118,722.60 € of fundable budget ending on 31/12/2023.

The research project focuses on the creation of new high-performance battery cells for electric vehicles, with a strong emphasis on the integration of artificial intelligence (AI) and big data to improve and accelerate the processes of design, synthesis and characterization of materials. This project aims to develop an automated and autonomous synthesis platform that enables materials optimization through advanced machine learning (ML) algorithms, resulting in batteries with longer autonomy, reduced charging times and optimized lifetime. It is also expected that process automation and digitization will facilitate a more agile transition to industrial production, with a focus on sustainability and circular economy.

The project integrates ML models at various stages of the process, such as in the modeling and synthesis of new electrode materials. At the manufacturing level, the coating and drying parameters in the preparation of electrodes will be digitized, maximizing efficiency and reducing variability in the quality of the final product. In addition, the project also aims to create a standardized database. This database will make it possible to extract complex correlations between manufacturing parameters and material properties using big data and predictive analysis techniques, thus optimizing the reproducibility and scalability of processes at industrial level.

On the other hand, in the training project, the main objective is to ensure the training and preparation of the human team involved in the Basquevolt project for the development of their tasks. All this leveraged on the experience and know-how of CIC energiGUNE, a world reference center in the research and development of solid state cells. The capabilities of CIC energiGUNE reach up to the prototyping of cells at laboratory scale being a worldwide reference.

Cookies on this website are used to personalize content and advertisements, provide social media features, and analyze traffic. You can get more information and configure your preferences HERE