Next Generation Battery Management System Based On Data Rich Digital Twin (ENERGETIC)
Funder
Horizon Europe
Value
€380,000
Project Team
Dr Tazdin Amietszajew
Dr Danial Sarwar
Dr Joe Fleming
Lead: Institut National des Sciences Appliquees, Strasbourg
Collaborators
- Altran Prototypes Automobiles
- Communaute D’ Universites et Etablissements Universite Bourgogne – Franche – Comte
- Coventry University
- Electricite de France
- Forsee Power
- GBA Zabala Conseil en Innovation Sa
- Hochschule Karlsruhe
- Tallinna Tehnikaülikool
- Typhoon Hil
- Universite de Technologie de Belfort – Montbeliard
- Universite du Luxembourg
- University of Bath
Duration
1 Jun 2023 - 31 Aug 2026
Project overview
ENERGETIC project aims at developing the next generation BMS for optimizing batteries’ systems utilisation in the first (transport use case) and the second life (stationary use case) in a path towards more reliable, powerful, and safer operations. To do so, the ENERGETIC project contributes to the field of translational enhanced sensing technologies, exploiting multiple AI models, supported by Edge and Cloud computing. This will enable the path to future services based on data provided through the Cloud. ENERGETIC’s vision not only encompasses monitoring and prognosis of 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.
Project objectives
- To develop and embed low-cost sensors which provide new physical information to the BMS
- To develop multiphysics modelling tools to continuously assess the SoX and RUL of Li-battery
- To design an innovative, connected and smart DT based BMS
- To demonstrate and validate the ENERGETIC innovative smart DT based BMS
- To design a hardware abstraction layer platform
- To develop AI based models for explainable SoX prediction
- To make recommendations for future standard for predictive maintenance in the Cloud
- To facilitate the uptake and exploitation of ENERGETIC results by the academic community
Outputs
See link below to Journal on ScienceDirect:
