THE BIG LEAP PROJECT
The BIG LEAP project aims to achieve the next generation of Battery Management Systems (BMS) to improve the interoperability between battery chemistries and architectures and enhances the operation reliability of second life batteries, thus extending adaptability and empowering battery value chains. Batteries are identified as a key technology in guiding the clean-energy transition, especially in automotive and energy storage. BIG LEAP addresses challenges such as the lack of interoperability or the non-standardized processes, by developing solutions for Second-Life Battery Energy Storage Systems.
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THE BATMAX PROJECT
Physics and data-based battery management by multi-domain digital twins (BATMAX) sets out to pave the way for advanced next generation data-based and adaptable battery management systems capable of fulfilling the needs and requirements of various mobile and stationary applications and use cases. The main objective of the project is to contribute to improving battery system performance, safety, reliability, service life, lifetime cost and therefore to maximise the value created by operation of the battery systems in various kinds of end use applications. This is approached by creating a framework for next generation of battery management based on large amounts of data, both experimental, operational and synthetic, adaptable physics-based models, suitable reduced-order models for both physical BMS algorithms and real-time multi-scale digital twins. BATMAX develops a framework to efficiently parameterise physics based models is essential to reduce the cost of model development and encourage their use in BMSs. Advanced numerical methods accelerate the extraction of relevant parameters from experimental and numerical simulation data. BATMAX develops hardware and sensorisation on cell and system level for collection and communication of battery measurement data and integrates an open source BMS platform to a laboratory scale prototype system. The BATMAX BMS framework (hardware and software) will enable to exploit advanced battery models with integrated digital twin framework that is capable to cope with high amount of measured data, which will enable to monitor the battery aging in depth and to facilitate the key functions of systems. A central output is an extensive multi-purpose and scalable digital twin framework is developed and validated for advanced battery management. Key impacts from BATMAX contribute to 10% battery lifetime increase on average scenario, 20% performance increase in specific scenarios and contribution to lifecycle cost reduction by at least 10%.
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THE NEXTBAT PROJECT
NEXTBAT aims to develop the safest, most sustainable battery system by considering electrical, thermal, and mechanical safety. This effort includes digitalizing production, reducing the carbon footprint through recyclability, and enhancing performance with advanced battery management.
NEXTBAT develops next-generation battery systems using beyond state of cells as well as novel architectures when it comes to module and pack designs including advanced sensing, cooling (liquid and immersion), Battery Management Systems (BMS) and safety measures by using a design by safe principles.
The project also introduces innovative materials and processes to improve performance, safety, and recyclability, while working towards new industry standards for the European battery sector.
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THE REINFORCE PROJECT
In the search for sustainable mobility and energy system transition solutions, batteries emerge as a fundamental technology for the advancement of electric cars, renewable energy storage, and the reduction of carbon emissions. REINFORCE aims at creating a circular value chain for batteries, which promises to transform the life cycle of these products. Used, defective and unstable batteries pose new challenges along the supply chain and require new industrial processes, automated equipment, and tracking systems, as well as new strategies to prepare them for a second or third life, or even for the recycling of their components and materials.
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THE ENERGETIC PROJECT
ENERGETIC project aims to develop the next generation BMS for optimizing batteries’ systems utilization 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 prognosis the remaining useful life of a Li-ion battery with a digital twin, but also encompasses diagnosis by scrutinizing the reasons for degradation through investigating the explainable AI models.
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