GA Nr. 101112295
Project goal and tasks
Climate change, CO2 footprint, energy transition, safety & security as well as sovereignty are key issues that the common population can very well relate to today. As we face critical challenges, research and development in our ECS domain needs to address them more than ever. In particular the energy transition needs to be accelerated in order to become more independent from gas and oil energy, which was considered being available at low costs and without limits until recently. This assumption has been proven to be based on very fragile grounds and it has come to an end. One solution to accelerate the energy transition is to use all generated energy. This means that overflow energy produced in wind or solar parks needs to be available in periods when common energy generation is lacking. This requires important investments into infrastructure, which will only flow, if investors trust into the technologies enabling solutions. The faster the trust is built, the faster the transition can be realized. On the other hand, technologies and products that will ensure an economic use of resources and enable long and trusted lifetime of systems and components in the ECS domain have to be developed. ARCHIMEDES contributes to this in the domains of automotive, aviation and industry. In ARCHIMEDES, components, models and methodologies to increase the efficiency and lifetime of the propulsion components, power components and energy storage devices in automotive, aviation and industry will be developed. This will support the energy transition on the consumer`s side. In order to support this mission, ARCHIMEDES aims to change technologies and products in the automotive, aviation,
infrastructure domains and the related ecosystem towards a resilient, de-carbonized, digitalized, and green EU: It will help building trust in the new technologies and thus contribute to accelerating the energy transition, safety and security.
Tasks to be performed by EDI
EDI will utilize quantum sensor data for developing battery state estimation and modelling solutions, including on-the-fly compression, measurement storage and enabling high-bandwidth transfer to the processing system. Furthermore, EDI will work on algorithms for battery management systems and the corresponding demonstrator that will utilize data from the quantum sensor.
Participating scientists
