The ENERGETIC project will develop the next generation BMS for optimizing batteries’ systems

Funded by the Horizon Europe programme under Grant Agreement nº 101103667, ENERGETIC will run for 39 months with a budget of four million euros.

ENERGETIC is a new project, funded by the Horizon Europe program under Grant Agreement nº 101103667 and led by INSA Strasbourg. ENERGETIC 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. The project will last 39 months and will have a budget of around four million euros.

To carry out this project, INSA Strasbourg will work with an international consortium including companies and institutions from seven countries: France (INSA Strasbourg, CapGemini, UBFC, femto-st, EDF, Zabala Innovation, PowerUp, FORSEE POWER), Luxembourg (UNIVERSITÉ DU LUXEMBOURG), United Kingdom (UNIVERSITY OF BATH, Coventry University), Germany (HOCHSCHULE KARLSRUHE), Serbia (Typhoon HIL), Estonia (TalTech) and Spain.

Origin of the project

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 will develop the next generation BMS for optimizing batteries’ systems utilisation contributing 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 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.

ENERGETIC main objectives

Over its 39 months of duration, the project will seek to achieve eight main objectives:

  • To develop and embed low-cost sensors which provide new physical information to the BMS.
  • To design a hardware abstraction layer platform.
  • To develop multiphysics modelling tools to continuously assess the SoX and RUL of Li-battery.
  • To develop AI based models for explainable SoX prediction.
  • To design an innovative, connected an smart DT based BMS.
  • To make recommendations for future standard for predictive maintenance in the Cloud.
  • To demonstrate and validate the ENERGETIC innovative smart DT based BMS.
  • To facilitate the uptake and exploitation of ENERGETIC results by the academic community.

What the expected impacts are

ENERGETIC seeks to enhance the entire battery value chain through sustainable pathways. The project targets improvements in technological performance, safety, cost, user convenience, fast charging, and environmental impact. By developing the next generation of Battery Management Systems (BMS), ENERGETIC aims to make the European battery manufacturing value chain competitive, circular, and sustainable.

The project anticipates positive impacts on the European research and innovation ecosystem by extending battery life, reducing costs, and improving maintenance and end-of-life management. The developed BMS models, focusing on predictive maintenance and anomaly detection, will optimize battery use, enhance safety, and decrease environmental footprint.

The new BMS is envisioned to shape the future of batteries, promoting environmentally friendly mobility and optimizing resources in stationary applications. The longer life of batteries is anticipated to increase photovoltaic production, contributing to the resilience of energy supply in cities and reducing air pollution.

Ultimately, ENERGETIC aspires to facilitate the transition to a climate-neutral society by engaging and empowering citizens. Through training activities, the project aims to develop the next generation of scientists and engineers capable of contributing to a climate-neutral future. Additionally, collaboration with stakeholders and communication activities will create a bridge with end-users, shaping market needs based on real-world applications.

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