To date, most modern, off-the-shelf battery designs targeting lightweight application use lithium-ion technology. This is due to the fact that other existing technologies such as NiMH and Pb:Acid are often too heavy, leading to energy densities inferior to those of Li-Ion technologies. New technologies must improve upon energy density, whilst also employing green, recyclable designs and avoiding the use of critical raw materials. In addition, the rapid increase in the number of electrified vehicles, especially those employing fast-charging systems, has lead to an increasing load on energy generation systems. During periods of mass travel (for example, during the summer vacation season), this can lead to severe loading. It is therefore important to consider the whole of the electric vehicle system – not only at the vehicle level, but also at the infrastructure level. Europe is very strong in terms of its capacity to produce final products (such as EVs and stationary storage systems), but is weaker when considering its capacity to produce and use raw materials, advanced materials, and equipment for manufacturing cells. The overarching of goal of the TEMPEST project is to develop and mature a new generation of safe by-design, recyclable, high-performance, and lightweight batteriesfor the largest possible swath of transport applications. TEMPEST will bring to TRL5 advanced, module-free battery systems, optimized using AI algorithms, and based on both LIC and SSC cell chemistries through three different demonstrator batteries types (compact, large-scale, and stationary) selected as representative batteries for the range of use case applications targeted (automotive, aircraft, maritime, rail, and stationary). TEMPEST has access to direct capacity to scale results.

When prototyping or producing a machine or its parts, several methods of manufacturing are used, such as machining, additive manufacturing, laser cutting or welding. These manufactured parts are investigated for their manufacturing tolerances upon production via quality control systems, such as a coordinate measurement machine. However, at the current state of the art, one production machine can only perform its one designated process. Additionally, these machines are generally large and bulky computer numerical control systems. As a result, these manufacturing machines are heavy and non-portable products with high investment costs. For these reasons, small investors or start-ups cannot invest in these machines, or very few of them can invest in only one type of manufacturing machine. The aim of this project is to develop a lightweight, portable and low-cost manufacturing cell that can perform precise manufacturing and quality control. This challenge can only be solved by the collaborative work of interdisciplinary partners. Inspired by this action, Izmir Institute of Technology (IZTECH) has been firmly committed to developing and promoting enabling technologies for robotic and manufacturing systems. However, IZTECH could not fully exploit its technological and innovation potential in this field due to limited resources in research and project management. There is a clear need for concrete partnership between IZTECH and internationally leading counterparts to bring this potential into play, and thus to spread scientific excellence in robotics and manufacturing systems over the European Research Area and industry. In this way, Türkiye's excellence capacity and resources can be improved, and the research and innovation gap between Türkiye and the European Union can be closed in this specific area. As a consequence of this project, IZTECH's reputation and capacity to carry out advanced research are expected to grow due to this collaboration.

HiAOOS will develop, implement, and validate several ocean observing technologies to improve data collection in the ice-covered Arctic Ocean. A network of multipurpose moorings will be deployed for two years in the deep Nansen and Amundsen Basins. The network will provide point measurements of ocean and sea ice and active and passive acoustic data for several applications, including acoustic thermometry, geo-positioning of underwater floats, detection of marine mammals, geohazards and human generate noise. The mooring system will build on the successful basin wide Coordinated Arctic Acoustic Thermometry Experiment-CAATEX experiment and extend the existing Mooring Observationsfrom the Atlantic Water Inflow Experiment (ATWAIN). A new generation of moorings will be developed where data can be transferred to the surface using ROV or winch technology. Ice buoys with new acoustic array technology will be developed for testing of underwater geo-positioning, local navigation networks for glider operations and for localization of geophysical events. These developments will advance several research infra structures with new observing technology and create new opportunities for forefront research. To unlock the capabilities of the new observing system methods and tools will be developed to analyse and visualize the observations for different applications using digital methods and technologies including machine learning. The methods and tools will be ingested into a digital platform blue Insight, and available through Zenodo. Training and use cases will use the platform to train different user groups associated with research infrastructures, research communities and technology developers. All data, methods and tools will be available following the FAIR principles. Field experiments will be carried out every summer from 2024 to 2026, and every field experiment will be assessed with respect to environemntal impact prior to the start of the experiment.

The EU roadmap towards a climate-neutral economy by 2050 sets ambitious decarbonisation targets that shall be achieved by a massive deployment of renewable energy sources. Energy storage improves grid flexibility and allows higher penetration levels of renewable energy sources to create a decarbonised and more electrified society by means of leveraging second-life batteries. Battery management plays an essential role by ensuring an efficient and safe battery operation. However, current battery management systems (BMS) typically rely on semi-empirical battery models (such as equivalent-circuit models) and on a limited amount of measured data. Therefore, ENERGETIC project aims to develop the next generation BMS for optimizing batteries’ systems utilisation in the first (transport) and the second life (stationary) in a path towards more reliable, powerful and safer operations. ENERGETIC project contributes to the field of translational enhanced sensing technologies, exploiting multiple Artificial Intelligence models, supported by Edge and Cloud computing. ENERGETIC’s vision not only encompasses monitoring and prognosisthe remaining useful life of a Li-ion battery with a digital twin, but also encompasses diagnosis by scrutinising the reasons for degradation through investigating the explainable AI models. This involves development of new technologies of sensing, combination and validation of multiphysics and data driven models, information fusion through Artificial Intelligence, Real time testing and smart Digital Twin development. Based on a solid and interdisciplinary consortium of partners, the ENERGETIC R&D project develops innovative physics and data-based approaches both at the software and hardware levels to ensure an optimised and safe utilisation of the battery system during all modes of operation.

EM-TECH brings together 10 participants from industry and academia to develop novel solutions to push the boundaries of electric machine technology for automotive traction, through: i) innovative direct and active cooling designs; ii) virtual sensing functionalities for the high-fidelity real-time estimation of the operating condition of the machine; iii) enhanced machine control, bringing reduced design and operating conservativeness enabled by ii); iv) electric gearing to provide enhanced operational flexibility and energy efficiency; v) digital twin based optimisation, embedding systematic consideration of Life Cycle Analysis and Life Cycle Costing aspects since the early design stages; and vi) adoption of recycled permanent magnets and circularity solutions. The proposed innovations will be implemented in new series of radial flux direct drive in-wheel motors characterised by so far unexplored levels of torque density (>150 Nm/litre, >50 Nm/kg), and on-board single stator double rotor type ironless axial flux machines providing power density and specific power levels in excess of 30 kW/litre and 10 kW/kg. The solutions will address both passenger car and van applications (continuous power levels of 50 kW - 120 kW), providing competitive costs (25%), and to >60% decrease of the rare earth content, including implementation of magnet recycling solutions. EM-TECH obtained the support of several car makers (AUDI and Changan UK), which will strengthen the exploitation strategy. EM-TECH will further directly contribute to the relevant European Destination and KSO C and A, by supporting the establishment of a European leadership in the sector of key digital, enabling and emerging technologies, and the development of the respective value chains