ENERGETIC project, funded by the EU Horizon Europe program, aims at developing the next generation BMS for optimising batteries’ systems utilisation in the first (transport) and the second life (stationary) in a path towards more reliable, powerful, and safer operations. It contributes to the field of translational enhanced sensing technologies, exploiting multiple AI models, supported by Edge and Cloud computing. ENERGETIC will monitor and predict the remaining useful life of a Li-ion battery through a digital twin.

NEXTBMS will develop an advanced battery management systems (BMS) built on fundamental knowledge and experience with the physicochemical processes of lithium-ion batteries, which will enable the significant enhancement of current modelling approaches, including the readiness for upcoming lithium (Li) battery material developments. These modelling approaches will be further improved by optimising sensors and measurement techniques to meet modelling needs (and optimising models based on physical sensor data) and the physical cell configurations to form a framework that supports improving the battery state prediction and -control. By solving these challenges, NEXTBMS will ensure that the next generation of BMSs will enable higher performance, safety, and longer lifetime of the battery cells for an overall optimal utilisation of the battery system.

BATMAX project aims 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. BATMAX develops a framework to efficiently parameterise physics-based models as well as the hardware and sensorisation on cell and system level for collection and communication of battery measurement data. The BATMAX BMS framework 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.