Batteries will play an essential role in many years to come if the batteries of the future can provide reliable and safe energy at low cost, while reducing our dependence on critical raw materials and adopting sustainable value chains from mining to recycling. The emerging digitalized and connected era calls for a paradigm shift in the way we discover, design and create batteries. High-performance materials and structures must be designed from the atomic level up, using advanced approaches like density functional theory calculations in combination with machine learning and Artificial Intelligence to analyse big data collected from characterization, synthesis and testing. Sustainable chemistries must be integrated into battery cells, and critical degradation processes must be monitored by novel sensors embedded in smart batteries to take adequate corrective measures in real time. All this will lead to batteries combining high energy and power densities and thus enabling rapid charging, while at the same time being highly safe and durable, and with a low environmental footprint.
The BATTERY 2030+ initiative will be based on a multi-disciplinary and cross-sectorial approach to bring in all the necessary skills for developing future European battery roadmap while addressing a wide range of strategic applications. To achieve this goal, a team of 17 partners, leaders in their fields, from 9 EU member states will join efforts. Three specific objectives have been defined: 1) BATTERY 2030+ roadmap establishment 2) Propose R&D actions and 3) Secure official stakeholder commitments. Related WPs, tasks, milestones and risks are considered to achieve these objectives.
Beyond FETPROACT-04-2019 project, BATTERY 2030+ initiative, will act as a cornerstone in the construction of a long-term research road on batteries, as the long-term initiative mentioned in the EBA strategic action plan. This new initiative will supply the European battery eco-system with completely new disruptive technologies (Low TRL).
Field of science
- /social sciences/economics and business/economics/sustainable economy
- /natural sciences/computer and information sciences/artificial intelligence
- /natural sciences/computer and information sciences/data science/big data
- /natural sciences/computer and information sciences/artificial intelligence/machine learning
Call for proposal
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Funding SchemeCSA - Coordination and support action