BatCat Project Logo

BatCAT is the project that realizes the manufacturability programme from the BATTERY 2030+ Roadmap, creating a digital twin for battery manufacturing that integrates data-driven and physics-based methods.

It aims to develop a cross-chemistry data space for two technologies, Li-ion and Na-ion coin cells and redox flow batteries, addressing a triple challenge in digital manufacturing.

The project is closely connected to the Advanced Materials 2030 Initiative, BIG-MAP and BATTERY 2030+, BEPA, DigiPass CSA, EOSC, EMMC, and the Knowledge Graph Alliance, ensuring a community and industry uptake of the results.

01 Jan 2024 - 30 Jun 2027

EU Horizon Europe

About the BatCAT project

BatCAT is a research and innovation project funded by the EU's Horizon Europe programme. The project is a collaboration between 18 partner organisations from 9 European countries, coordinated by NMBU.

The project aims to create a digital twin for battery manufacturing by developing a cross-chemistry data space for two technologies: Li-ion and Li-S coin cells and redox flow batteries. The project will also address three challenges in digital manufacturing: Design, operation, and trust.

BatCAT is closely connected to BIG-MAP and BATTERY 2030+, EOSC, EMMC, and OntoCommons, ensuring a community and industry uptake of the results.

Participants

  • Norwegian University of Life Sciences (NMBU)

    NMBU is the Norwegian University of Life Sciences. At the Faculty of Science and Technology (REALTEK), we focus on science, technology and innovation for sustainable development. We educate engineers and teachers and offer courses in practical-pedagogical education (PPU), mathematics, information science, and physics.  

    In BatCAT, NMBU has the role of the coordinator. We are also responsible for a variety of tasks including data stewardship, designing the machine learning framework, and molecular and multiscale modelling of redox-flow batteries. 

  • Fraunhofer Institute for Industrial Mathematics ITWM (Germany)

    Fraunhofer ITWM is involved in the EU project BatCAT. As part of this project In BatCAT Fraunhofer ITWM will use it´s Battery Simulation toolkit BEST for supporting the predictive simulation efforts of batteries and on top the broad competences in multicriteria optimization of technical processes to support the digital twin development in BatCAT towards a digital twin. 

    • Peter Klein (Principal Investigator)
    • Jochen Zausch (Researcher)
  • Kemijski Institut (Slovenia)

    National Institute of Chemistry is an established research institution in Ljubljana, Slovenia. The institute includes eight departments and two research centers employing approximately 440 employees. The institute covers the topics of materials research, life sciences, biotechnology, chemical engineering, structural and theoretical chemistry, analytical chemistry and environmental protection. Laboratory for Modern Battery Systems (part of Department of Materials Chemistry) works on monovalent, multivalent and organic battery materials with focus on in-depth understanding of these systems through developing and utilizing advanced diagnostic tools in order to gain insights into the relevant electrochemical processes and material properties. Department of Catalysis and Chemical Reaction Engineering is primarily invested in chemical (process) engineering, reactor and unit operation design and construction, as well as multi-scale process modelling.  

    In BatCAT project, NIC focuses on redox flow battery electrode preparation and characterization with experimental contribution from the Department of Materials Chemistry and modelling contribution from the Department of Catalysis and Chemical Reaction Engineering. 

    • Sara Drvarič Talian (Principal Investigator)
    • Robert Dominico (Observer)
    • Blaž Likozar (Observer)
    • Matej Huš (Researcher)
    • Marusa Rajovec (Financial Department)
    • Ivana Maver (Administrator)
    • Maja Pivko (Administrator)
  • Politecnico di Torino (Italy)
    • Gianluca Boccardo (Principal Investigator)
    • Antonio Buffo (Researcher)
    • Alessio Lombardo Pontillo (Researcher)
    • Daniele Marchisio (Researcher)
    • Roberta Melchiorre (Research Manager)
    • Andrea Querio (Researcher)
    • Marco Vanni (Researcher)
  • Rheinland-Pfalzische Technische Universitat (Germany)

    We, the Molecular Thermodynamics group at RPTU Kaiserslautern, have long-term expertise in connecting molecular properties with macroscopic thermophysical property data. We combine computational engineering with physics and chemistry for solving engineering problems. We develop our own simulation and modelling tools, develop modelling methods and apply these to different engineering tasks. We cover different modelling approaches such as classical molecular simulation, molecular-based equations of state, and quantum chemistry. We apply molecular modelling and simulation for various tasks such as the prediction of thermophysical equilibrium and transport properties of electrolytes, the mass transfer at interfaces, and machining processes on the atomistic level. Moreover, we develop and maintain the MolMod database, which is an open access database for molecular models, e.g. for various battery components. We also work on connecting simulation levels and simulation techniques for multi-scale and multi-physics modelling approaches, e.g. by incorporating molecular-based equation of state models in CFD simulations.  

    • Simon Stephan (Principal Investigator)
    • Alisha Ritke (Research Manager)
    • Dennis Alt (Researcher)
    • Xueqi Zhang (Researcher)
  • IFP Energies Nouvelles (France)
    • Julien Bernard (Project Manager)
    • Stephane Henriot (Programme Manager)
    • Wissam Dib (Partnership Development Manager)
    • Manuel Corral Valero (Researcher)
    • Theodorus De Bruin (Researcher)
    • Carlos Nieto-Draghi (Researcher)
    • Martin Petit (Researcher)
  • Universitaet Klagenfurt (Austria)

    The University of Klagenfurt performs intensive research and teaching in the vibrant field of Artificial Intelligence. Both data-driven machine learning and model-driven problem solving belong to the core research areas of the project team at the University of Klagenfurt. In particular, the research group Production Systems has profound expertise in the design of combinatorial search and optimization methods promoting the current transition to Industry 4.0. Complementary experience on applications of neuro-computing for modeling, simulating, optimizing and controlling complex dynamic systems is brought by the research group Transportation Informatics.

    In BatCAT, the University of Klagenfurt team will contribute to the conception and implementation of Artificial Intelligence methods at different levels of granularity. Relevant tasks range from the analysis and intelligent processing of measurement and simulation data to qualitative logical reasoning over battery ontologies along with optimizing the product and process design. The overarching goal is to supplement the battery lifecycle with information and services benefiting the environment, resources and humans.  

    • Martin Gebser (PI)
    • Patrik Grausberg (Researcher)
    • Kyandoghere Kyamakya (Researcher)
    • El Bahnasawi Mohamed (Researcher)
  • Danmarks Tekniske Universitet (Denmark)

    The Department of Energy Conversion and Storage at the Technical University of Denmark focuses on accelerating the discovery of novel materials for sustainable applications, combining advanced experimental techniques with new multiscale modelling tools and artificial intelligence. Batteries are one of our core technologies. In the project, we will contribute to establish electronic laboratory notebooks and make them interoperable with the ones developed by other EU initiatives, such as BIG-MAP. 

    • Ivano Eligio Castelli (PI)
    • Tejs Vegge (Observer)
  • IndiScale GmbH (Germany)

    IndiScale is an IT service provider and a growing, young start-up. Our focus is the development and provision of open source software for the collaborative and scalable management of research data. Our customers are research institutes, academic institutions and small and medium-sized enterprises, which we support in their innovative and scientific work.

    IndiScale will support the project partners with data management services and develop our flag ship product LinkAhead into a collaborative and federated Data and Knowlegde Management System (DKMS) for research data with functionality for finding and sharing data and knowlegde in a transinstitutional, translateral Data Space.

    LinkAhead will be deployed at the sites of four BatCAT partners in four countries and collect metadata and data from experiments, simulations and modelling, battery cell assembly lines, and analysis. It will assure FAIR data management best practices, enable collaboration among the partner, long-time preservation of results and feed an interoperable Digital Twin Platform for battery cell design and assembly.

    LinkAhead is a core component of the overall architecture of the BatCAT project. BatCAT will showcase the versatility of LinkAhead in the battery development realm which is highly strategically important for the European Union. This will boost the visibility of LinkAhead as a powerful tool for industrial-scale data management in this field and beyond.

    • Florian Spreckelsen (Project Lead)
    • Timm Fitschen (Team)
    • Sina Rohde (Team)
  • Fundacion Universidad Loyola Andalucia (Spain)

    Universidad Loyola is a social initiative of the Society of Jesus. Universidad Loyola is committed to making a positive impact on society and the environment, and it is participating in the BatCAT project through the research group Materials and Sustainability. The Materials and Sustainability research group is at the forefront of designing and testing advanced materials and catalysts for sustainable applications. The group has solid experience in CO2 capture and conversion into valuable products, catalytic conversion of biomass into fuel, renewable hydrogen production, and virtual design of materials. ​

    In the BatCAT project, Universidad Loyola provides expertise in multiphysics simulation of materials, with a focus on mechanical coupling with other phenomena. The group has solid experience in different numerical methods, both discrete (lattice models, lattice particle models, smooth particle hydrodynamic) and continuum (Finite Element Method, CFD, etc.). Universidad Loyola contributes to modeling the manufacturing processes of electrodes for advanced battery applications, which are fundamental in the final battery performance.​

    • Francisco Montero Chacón (Pi)
    • Eduardo Roque Rodríguez (Researcher)
    • Mauricio Zurita Gotor (Researcher)
  • Hochschule Kaiserslautern (Germany)

    The University of Applied Sciences Kaiserslautern HS KL has three campuses located in Kaiserslautern, Zweibrücken, and Pirmasens. The department of Applied Sciences in Kaiserslautern covers disciplines such as Electrical Engineering, Mechanical Engineering, and Engineering Management. The educational approach has a focus on practical knowledge gain which is for example characterized by the diverse laboratory courses. 

    The University of Applied Science in Kaiserslautern will work on the interplay between simulation and experiment on the one hand and the digital twin on the other hand. We will work on multicriteria optimization as well as the evaluation of simulation and experimental results. Additionally, HS-KL is responsible for the organization of the training workshops. 

    • Stephan Werth (Pi)
    • Jessica Weyer (Research Management)
    • Johanna Glutting (Researcher)
  • Simula Research Laboratory AS (Norway)

    Simula is a leading information and communication technology research organization located in Oslo, Norway. Simula's main objective is to create knowledge about fundamental scientific challenges that are of genuine value for society. Simula is a research organization conducting high-quality research within information and communication technology. Simula’s mission is to benefit society by solving important problems in science, educating the next generation, and developing profitable tech enterprises. 

    Within the BatCAT project, Simula researchers from the Department of Numerical Analysis and Scientific Computing are focused on physics-based simulations driven by finite element solutions of the underlying partial differential equations, i.e., model development. These efforts are undertaken to enhance the understanding of the degradation and operation of batteries. The model results will be used both to train and validate data-driven models. In addition, the physics-based models will be used conjunction with data-driven modeling techniques to enhance the overall project goal of digital twins of battery cell assemblies.

    • Eirik Valseth (Pi)
    • Louise Bolands Eklund (Admin)
  • BI-REX - Big Data Innovation Research Excellence (Italy)

    BI-REX is one of the 8 Italian Competence Centers funded by the Italian Ministry of Enterprises and Made in Italy our main focus is on Big Data. 
    Within the BATCAT project BI-REX will support the rest of the consortium to extract and store data from the battery manufacturing process using state of the art technology and enhancing the industrial uptake of the digital twin technology.

    • Andrea Paolella (Pi)
    • Lorenzo Patera (Data Management)
    • Francesco Meoni (Researcher)
    • Danilo Mascolo (Researcher)
    • Alberto Gualtieri (Researcher)
    • Fabrizio Bernini
  • Vanevo GmbH (Germany)

    VANEVO is a spin-off of the German Aero Space Centre founded 2018 in Oldenburg, Germany. VANEVO develops, produces and sells components for redox flow batteries. The core focus of VANEVO lies in an innovative design and production approach of the core component of redox flow batteries, the so-called stack. Within the project BATCAT, VANEVO contributes with its know-how in the field of redox flow batteries and their production. VANEVO will also validate the digital twins which are developed in the project BATCAT.

    • Jan große Austing (Pi)
    • Andreas Linhart (Researcher)
  • Luxembourg Institute of Science and Technology (Luxembourg)
    • Salim Belouettar (Pi)
    • Carlos Kavka (Researcher)
  • UKRI Science and Technology Facilities Council (United Kingdom)

    STFC runs large international facilities such as synchrotron (DLS), laser (CLF) and neutron and muon (ISIS) sources. STFC Scientific Computing (SCD) provides support for the Digital Research Infrastructure needs of facility users and researchers across academia, industry and RTOs. Within BatCAT, SCD brings expertise in application of materials modelling and software engineering across different scales (electronic structure, atomistic and mesoscopic) as well as data engineering and semantisation in the domains of materials and manufacturing. We have capabilities and track record in ab initio simulation of battery materials and interfaces.​

    • Ilian Todorov (Pi)
    • Silvia Chiacchiera (Co-I/Researcher)
    • Michael Seaton (Co-I/Researcher)
    • Gilberto Teobaldi (Co-I/Researcher)
    • Vasily Bunakov (Observer, Occasional Contributor)
    • Martin Horsch (Observer)
    • Ivan Scivetti (Researcher)
    • Noel Vizcaino (Researcher)
  • Centre for Process Innovation Limited LBG (United Kingdom)

    CPI catalyses the adoption of advanced technologies and manufacturing solutions to benefit people, places, and our planet.  

    We’re a pioneering social enterprise that accelerates the development, scale-up and commercialisation of smart AgriFoodTech, energy storage, HealthTech, materials, and pharma innovations. Through our incredible innovation experts and infrastructure, we look beyond the obvious to transform healthcare and drive towards a sustainable future. 

    As a trusted partner of industry, academia, government, entrepreneurs and the investment community, we connect the dots within the innovation ecosystem to make great ideas and inventions a reality. We believe by working together we can build a better collective future, and as part of the High Value Manufacturing Catapult, we facilitate access to world-class organisations to deliver transformation across industries and landscapes.  

    Creating lasting global impact from the North of England and Scotland, we invest in people and disruptive technologies to invigorate economies, create circular supply chains and make our world a better place. 

    • Rohan Kohli (Project Manager)
    • Robert Mitchell (Technical Lead)
    • Sandra Starke (Bid Development Manager)
    • Scott Gorman (Researcher)
    • Joanne Green (Researcher)
    • Jack Maxfield (Researcher)
    • Katharina Roettger (Researcher)
    • Anita Singh (Researcher)
    • Rachel Shuker (Researcher)
    • Nima Hojat (Researcher)
    • Danya Senthilkumar (Researcher)
    • Oliver Willis (Researcher)
  • Goldbeck Consulting Limited (United Kingdom)
    • Gerhard Goldbeck (Pi, Lear)
    • Vikki Cantrill (Dissemination And Exploitation)
    • Otello Maria Roscioni (Researcher)

Map (clickable)

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