CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
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 (opens in new window)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 (opens in new window)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 (opens in new window)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 (opens in new window)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.
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 (opens in new window)"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 (opens in new window)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 (opens in new window)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 (opens in new window)Report on monthly seminars that will be organized. A summer school will be organized in Tallinn (June 2025)
Use cases for automotive and stationary (opens in new window)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 (opens in new window)A report reviewing existing DT software will be delivered. It will also explain the choice of the selected DT software.
Hardware Abstraction framework on an embedded device capable of sensoring battery sensor signals and delivering an abstraction for upper layers resp. network transfer.
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
Author(s):
Ala Eddine Hamouni, Franco Giustozzi, Ahmed Samet, Ali Ayadi, Slimane Arbaoui, Tedjani Mesbahi
Published in:
Procedia Computer Science, Issue 225, 2024, ISSN 1877-0509
Publisher:
Elsevier BV
DOI:
10.1016/j.procs.2023.10.216
Author(s):
Marwa Zitouni, Franco Giustozzi, Ahmed Samet, Tedjani Mesbahi
Published in:
Procedia Computer Science, Issue 246, 2025, ISSN 1877-0509
Publisher:
Elsevier BV
DOI:
10.1016/j.procs.2024.09.563
Author(s):
Abdelrahman Shabayek, Arunkumar Rathinam, Matthieu Ruthven, Djamila Aouada, Tazdin Amietszajew
Published in:
Journal of Power Sources, Issue 629, 2025, ISSN 0378-7753
Publisher:
Elsevier BV
DOI:
10.1016/j.jpowsour.2024.235982
Author(s):
Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné
Published in:
Energy and AI, Issue 17, 2024, ISSN 2666-5468
Publisher:
Elsevier BV
DOI:
10.1016/j.egyai.2024.100413
Author(s):
Amel Hidouri, Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné, François de Bertrand de Beuvron
Published in:
Lecture Notes in Computer Science, Computational Science – ICCS 2024, 2024, ISSN 0302-9743
Publisher:
Springer Verlag
DOI:
10.1007/978-3-031-63783-4_14
Author(s):
Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné
Published in:
Array, Issue 24, 2024, ISSN 2590-0056
Publisher:
Elsevier BV
DOI:
10.1016/j.array.2024.100367
Author(s):
Lakhdar Mamouri, Thomas Pavot, Tedjani Mesbahi
Published in:
2024 IEEE Vehicle Power and Propulsion Conference (VPPC), 2025
Publisher:
IEEE
DOI:
10.1109/VPPC63154.2024.10755187
Author(s):
Sary Yehia, Lakhdar Mamouri, Nagham El Ghossein, Tedjani Mesbahi
Published in:
2024 IEEE Vehicle Power and Propulsion Conference (VPPC), 2025
Publisher:
IEEE
DOI:
10.1109/VPPC63154.2024.10755409
Author(s):
Gabriel Simmann, Vinay Veeranna, Reiner Kriesten
Published in:
SAE Technical Paper Series, Issue 1, 2024
Publisher:
SAE International
DOI:
10.4271/2024-01-2989
Author(s):
Meriem Manai, Bassem Sellami, Sadok Ben Yahia
Published in:
Proceedings of the 19th International Conference on Software Technologies, 2024
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0012752600003753
Author(s):
Cyrine Soufi, Tedjani Mesbahi, Ahmed Samet
Published in:
2023 IEEE Vehicle Power and Propulsion Conference (VPPC), 2024
Publisher:
IEEE
DOI:
10.1109/VPPC60535.2023.10403389
Author(s):
Amel Hidouri, Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné, François de Bertrand de Beuvron
Published in:
Lecture Notes in Computer Science, Computational Science – ICCS 2024, 2024, ISSN 0302-9743
Publisher:
Springer Verlag
DOI:
10.1007/978-3-031-63783-4_14
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