NEXT GENERATION BATTERY MANAGEMENT SYSTEM BASED ON DATA RICH DIGITAL TWIN

Informations projet

ENERGETIC

N° de convention de subvention: 101103667

DOI

10.3030/101103667

Projet clôturé

Date de signature de la CE 2 Mai 2023

Date de début 1 Juin 2023

Date de fin 31 Août 2026

Financé au titre de

• Climate, Energy and Mobility

Coût total

€ 4 170 167,50

Contribution de l’UE

€ 4 170 167,50

Coordonné par

INSTITUT NATIONAL DES SCIENCES APPLIQUEES, STRASBOURG
France

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (5)

AI model for heat monitoring

A description of the proposed model architecture will be provided. Qualitative and quantitative comparison with SoA will also be reported.

New methods of resilient of data transmission

A new approach to develop blockchain services in the form of Network Function Virtualizations that can improve both maintainability and deployability of IoT networks. In addition, it enables sophisticated analysis of IoT transactions, improves security, and increases privacy, thanks to the global network awareness.

Mining model from explanation of AI models

The algorithm used to mine explanation from the model. A expert evaluation of the explanation is given as well.

Ontology of the battery domain integrating the BMS definition and the concept of failures and maintenance

A descrption of the built ontlogy and the different retained battery failure. The different used semantic rule of the ontology are described.

AI model for SoX prediction

A description of the architecture of the used model for predicting the SoX. A comparative results with the State of the Art wil be given.

Documents, reports (7)

Plan and Strategy for Dissemination and Communication

This deliverable will establish the basis for the development of common dissemination & exploitation plan in the project. This deliverable is linked with the task T7.1. Updates at M18 and M39.

Technical report on battery sizing methodologies for optimising first and second lives

"The ""battery first life"" configuration for current electric vehicle applications is our first point of interest. Second, the report outlines the methodology used to size ""battery second life."" Depending on the application type and energy management strategy, the to-be-developed sizing tools are meant to direct the designer in his decisions."

Benchmark service providers

Various research will be done to compare data’s security and storage, sustainability, infrastructures, environment and architecture of the different cloud providers in order to identify the solution best suited to our requirements and needs.

Benchmark of multiphysics models of battery systems including cooling

Report detailing existing multiphysics models of battery systems including cooling. Including aspect of cell modelling and how this is extended to sytem modelling including cooling system.

Training programme

Report on monthly seminars that will be organized. A summer school will be organized in Tallinn (June 2025)

Use cases for automotive and stationary

This deliverable will define and present the both use cases : auto & stationnary, which will be used for first life and second life applications of batteries.

Selected DT software for heat monitoring and battery ageing

A report reviewing existing DT software will be delivered. It will also explain the choice of the selected DT software.

Demonstrators, pilots, prototypes (1)

Demonstration of a Hardware Abstraction Layer featuring expanded set of inputs

Hardware Abstraction framework on an embedded device capable of sensoring battery sensor signals and delivering an abstraction for upper layers resp. network transfer.

Data sets, microdata, etc (1)

Simulated thermal images to train AI

A simulator for generating synthetic thermal images will be developed. This will enable producing a dataset formed by simulated thermal images that will be in turn used for training AI models.

Publications

Peer reviewed articles (15)

Ultrasonic velocity as an improved ultrasound state-of-charge prediction method that compensates for cell thickness change

Auteurs: Rob Gray, Simon Pickering, Paloma Rodriguez Santana, Mac Geoffrey Ajaereh, Charles Courtney, Christopher Vagg
Publié dans: Journal of Power Sources, Numéro 674, 2026, ISSN 0378-7753
Éditeur: Elsevier BV
DOI: 10.1016/J.JPOWSOUR.2026.239789

Anomaly Detection in Lithium-Ion Batteries via Stream Reasoning on Structured Knowledge and Time-Series Data

Auteurs: marwa Zitouni, Franco Giustozzi, Ahmed Samed, tedjani Mesbahi
Publié dans: Procedia Computer Science, ISSN 1877-0509
Éditeur: Elsevier
DOI: 10.1016/J.PROCS.2025.09.494

Sensor-less estimation of battery temperature through impedance-based diagnostics and application of DRT

Auteurs: Danial Sarwar, Oliver Curnick, Tazdin Amietszajew
Publié dans: EES Batteries, ISSN 3033-4071
Éditeur: Royal Society of Chemistry
DOI: 10.1039/D5EB00092K

OntoSoC: An ontology-based approach to battery pack SoC estimation

Auteurs: Ala Eddine Hamouni, Franco Giustozzi, Ahmed Samet, Ali Ayadi, Slimane Arbaoui, Tedjani Mesbahi
Publié dans: Procedia Computer Science, Numéro 225, 2024, ISSN 1877-0509
Éditeur: Elsevier BV
DOI: 10.1016/j.procs.2023.10.216

Spiking Neural Networks for Accurate and Efficient State of Health Estimation of Lithium-Ion Batteries Across Varying Temperatures

Auteurs: Slimane Arbaoui, Tedjani Mesbahi, Théo Heitzmann, Marwa Zitouni, Amel Hidouri, Lakhdar Mamouri, Ali Ayadi, Ahmed Samet, Romuald Boné
Publié dans: "IEEE Open Journal of Vehicular Technology""", ISSN 2644-1330
Éditeur: "IEEE Open Journal of Vehicular Technology"""
DOI: 10.1109/OJVT.2026.3653419

A Stream Reasoning Framework for Thermal Image-Based Anomaly Detection in Lithium-Ion Batteries

Auteurs: Marwa Zitouni, sayara Hasanova, Franco Giustozzi, Ahmed Samet, Tedjani Mesbahi
Publié dans: International Conference on Agents and Artificial Intelligence, ISSN 2184-433X
Éditeur: International Conference on Agents and Artificial Intelligence
DOI: 10.5220/0014342400004052

Toward Anomaly Representation in Lithium-Ion Batteries: An Ontology-Based Approach

Auteurs: Marwa Zitouni, Franco Giustozzi, Ahmed Samet, Tedjani Mesbahi
Publié dans: Procedia Computer Science, Numéro 246, 2025, ISSN 1877-0509
Éditeur: Elsevier BV
DOI: 10.1016/j.procs.2024.09.563

AI-enabled thermal monitoring of commercial (PHEV) Li-ion pouch cells with Feature-Adapted Unsupervised Anomaly Detection

Auteurs: Abdelrahman Shabayek, Arunkumar Rathinam, Matthieu Ruthven, Djamila Aouada, Tazdin Amietszajew
Publié dans: Journal of Power Sources, Numéro 629, 2025, ISSN 0378-7753
Éditeur: Elsevier BV
DOI: 10.1016/j.jpowsour.2024.235982

The next generation of energy storage for smart and sustainable power grids: A systematic review

Auteurs: Alvi Ibn Amzad Anil, Md. Reshad Al Muttaki, Sadia Afrin, Shameem Hasan
Publié dans: Energy Conversion and Management: X, Numéro 30, 2026, ISSN 2590-1745
Éditeur: Elsevier BV
DOI: 10.1016/J.ECMX.2026.101771

Data-driven strategy for state of health prediction and anomaly detection in lithium-ion batteries

Auteurs: Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné
Publié dans: Energy and AI, Numéro 17, 2024, ISSN 2666-5468
Éditeur: Elsevier BV
DOI: 10.1016/j.egyai.2024.100413

Toward early battery anomaly detection: A multimodal dataset and deep learning framework for lithium-ion batteries

Auteurs: Marwa Zitouni, Slimane Arbaoui, Franco Giustozzi, Ahmed Samet, Tedjani Mesbahi
Publié dans: Energy and AI, ISSN 2666-5468
Éditeur: Tianjin University
DOI: 10.1016/J.EGYAI.2026.100816

Lecture Notes in Computer Science

Auteurs: Amel Hidouri, Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné, François de Bertrand de Beuvron
Publié dans: Lecture Notes in Computer Science, Computational Science – ICCS 2024, 2024, ISSN 0302-9743
Éditeur: Springer Verlag
DOI: 10.1007/978-3-031-63783-4_14

Dual-model approach for one-shot lithium-ion battery state of health sequence prediction

Auteurs: Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné
Publié dans: Array, Numéro 24, 2024, ISSN 2590-0056
Éditeur: Elsevier BV
DOI: 10.1016/j.array.2024.100367

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge

Auteurs: Marcella Astrid, Abdelrahman Shabayek, Djamila Aouada
Publié dans: 2025 33rd European Signal Processing Conference (EUSIPCO), ISSN 2219-5491
Éditeur: IEEE
DOI: 10.23919/EUSIPCO63237.2025.11226514

A data-driven compact AI model for automatic detection of thermal anomalies in large-format pouch cells

Auteurs: Danial Sarwar, Abd El Rahman Shabayek, Tazdin Amietszajew
Publié dans: EES Batteries, 2026, ISSN 3033-4071
Éditeur: Royal Society of Chemistry (RSC)
DOI: 10.1039/D6EB00049E

Conference proceedings (7)

Parameter Estimation for a Generic Na-ion Battery Model Using The Curve Fitting Approach

Auteurs: Lakhdar Mamouri, Thomas Pavot, Tedjani Mesbahi
Publié dans: 2024 IEEE Vehicle Power and Propulsion Conference (VPPC), 2025
Éditeur: IEEE
DOI: 10.1109/VPPC63154.2024.10755187

Multiphysical Modelling of Pouch Cells for SOH determination

Auteurs: Solomon Araya, Alexandre Ravey, Fei Gao, Daniela Chrenko
Éditeur: SGE - Symposium de Génie Electrique

Sensitivity and Ontology-Guided Counterfactual Explanation Generation for Battery State of Charge Estimation

Auteurs: Slimane Arbaoui, Ali Ayadi, Ahmed Samet, Tedjani Mesbahi, Romuald Boné
Publié dans: Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0014236600004052

Hysteresis in Sodium-ion Batteries: Temperature and Relaxation Time Effects

Auteurs: Sary Yehia, Lakhdar Mamouri, Nagham El Ghossein, Tedjani Mesbahi
Publié dans: 2024 IEEE Vehicle Power and Propulsion Conference (VPPC), 2025
Éditeur: IEEE
DOI: 10.1109/VPPC63154.2024.10755409

Design of an Alternative Hardware Abstraction Layer for Embedded Systems with Time-Controlled Hardware Access

Auteurs: Gabriel Simmann, Vinay Veeranna, Reiner Kriesten
Publié dans: SAE Technical Paper Series, Numéro 1, 2024
Éditeur: SAE International
DOI: 10.4271/2024-01-2989

Accurate Recommendation of EV Charging Stations Driven by Availability Status Prediction

Auteurs: Meriem Manai, Bassem Sellami, Sadok Ben Yahia
Publié dans: Proceedings of the 19th International Conference on Software Technologies, 2024
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012752600003753

Digital Battery Passport as an Enabler of Environmental Impact Assessment in Electric Vehicle Applications

Auteurs: Cyrine Soufi, Tedjani Mesbahi, Ahmed Samet
Publié dans: 2023 IEEE Vehicle Power and Propulsion Conference (VPPC), 2024
Éditeur: IEEE
DOI: 10.1109/VPPC60535.2023.10403389

Book chapters (1)

SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection

Auteurs: Amel Hidouri, Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné, François de Bertrand de Beuvron
Publié dans: Lecture Notes in Computer Science, Computational Science – ICCS 2024, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63783-4_14