BIG-MAP is a central part of the large-scale and long-term European research initiative on batteries, BATTERY2030+, and it involves 34 partners from 15 countries. BIG-MAP is the EU's most expensive single research project on developing sustainable batteries for the future.

The vision is not only to be able to develop new batteries much faster, but also to ensure that they can store energy extremely efficiently, can be produced sustainably and at such a low cost that in the future it will be profitable to store electricity from, for example solar and wind in batteries. This however requires fundamentally new materials and rapid progress within battery technologies, which we may not even have heard of yet. “In BATTERY 2030+ and BIG-MAP, we have to 'reinvent' the way we invent batteries. Last year the Nobel Prize in chemistry went to the inventors of the Li-ion battery. A fantastic invention, but it took 20 years from idea to product - we need to be able to do it in a tenth of that time if we are to have sustainable batteries ready for the green transition,” says Tejs Vegge, professor at DTU Energy and head of BIG- MAP.

Reinvent how to invent – combining artificial intelligence and future technologies

“You can say that the project is not about inventing a new battery, but a new way of inventing - which we will also use to invent new batteries,” Tejs Vegge explains. So BIG-MAP is not just about the next generation of batteries, but about a new efficient way of quickly finding new solutions from existing knowledge and digital modelling with artificial intelligence and very real researchers. “We need to develop a whole new scientific platform and a new common 'battery language', which allows artificial intelligence to be used to obtain, analyse and exploit data from all parts of the research and development value chain at the same time - with minimum human interference and without being bound by traditional development processes."

Using machine-learning algorithms coupled with physical models and data it will - for example - be possible to predict the durability of a new battery in a fraction of the time it has taken so far. This can be done through large-scale computer simulations, experiments and tests that are continuously evaluated without human intervention.

The Fraunhofer R&D Center Electromobility at the Fraunhofer Institute for Silicate Research ISC contributes its knowledge concerning laboratory automation for material synthesis and development. „In the BIG MAP project we will develop a modular robot system starting with the synthesis of protective coating materials. Our ambition is to have this framework acting as a physical interface in the more and more digitized materials development of the future“, says Dr. Henning Lorrmann, Head of the Fraunhofer R&D Center Electromobility.

For Fraunhofer ISC this projects in line with its strategic target towards a data-driven and robot-aided digital materials development. The project will initially run over the next three years and is expected to significantly accelerate the speed at which new battery types can be developed. And because the project uses the specific development of batteries to develop the platform and vice versa, it is also quite possible that BIG-MAP researchers will introduce new battery materials in the course of the project’s 3 year period.