Intelligent, Safe and secure connected Electrical Mobility solutions: Towards European Green Deal and Seamless Mobility

Información del proyecto

EcoMobility

Identificador del acuerdo de subvención: 101112306

DOI

10.3030/101112306

Fecha de la firma de la CE 19 Mayo 2023

Fecha de inicio 1 Mayo 2023

Fecha de finalización 30 Abril 2026

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 36 287 225,00

Aportación de la UE

€ 10 760 581,18

Coordinado por

TTTECH AUTO GERMANY GMBH
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (5)

Market study

Market study relevant to the project

EcoMobility initial stakeholders’ identification

Report on initial stakeholders’ identification

Report 1 on communication and dissemination

Report on communication and dissemination activities in year 1.

Report 2 on communication and dissemination

Report on communication and dissemination activities in year 2.

Initial E-listening campaigns and Reports

Report about e-listening campaigns in M18

Publicaciones

Conference proceedings (12)

A Dependable Trajectory Prediction Pipeline for Autonomous Driving: Integrating Computer Vision and Bayesian Networks for Highway Safety

Autores: Sanjana Range Gowda, Patrick Wolf
Publicado en: 2025
Editor: 5th international Workshop on Safe Autonomous Systems

Task Scheduling in Multi-Cloud Environments: A Graph Partitioning Approach Enhanced by Nested Genetic Algorithms

Autores: Josepaul Paulachan, Daniel Onwuchekwa, Roman Obermaisser
Publicado en: 2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), 2024
Editor: IEEE
DOI: 10.1109/IOTSMS62296.2024.10710257

Deep Reinforcement Learning for path planning of Autonomous Underwater Vehicles

Autores: Artemis Stefanidou, Elena Politi, Christos Chronis, George Dimitrakopoulos & Iraklis Varlamis
Publicado en: 2024
Editor: 18th International Conference on Control, Automation, Robotics and Vision (ICARCV)

Multi-Axis Shock and Vibration Control Testing of Automotive Battery Packs: Challenges of an Innovative Testing Practice

Autores: A.G. de Miguel , R. Araujo, U. Musella, M. dal Borgo, B. Forrier , E. di Lorenzo , B.Cornelis
Publicado en: 2024
Editor: ISMA 2024

Technology Acceptance Modelling for Investigating the Uptake of Electric, Connected, Autonomous, and Shared Mobility Technologies

Autores: Konstantina Karathansopoulou, Despoina Mitsiogianni, Eleni Tsaousi, George Dimitrakopoulos, Dimitris Georgiadis
Publicado en: Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems, 2025
Editor: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0013235500003941

Latest Research on Dynamic Environmental Testing for Space Hardware

Autores: Alberto Garcia De Miguel, Umberto Musella, Mattia Dal Borgo, Rúben Araújo, Bart Forrier, Emilio Di Lorenzo
Publicado en: IAF Materials and Structures Symposium, 2024, ISSN 2995-8709
Editor: International Astronautical Federation (IAF)
DOI: 10.52202/078369-0065

AI and connectivity for sustainable and efficient transportation – the EcoMobility approach

Autores: Luca Bongiovanni Ideas&Motion s.r.l.; Italy [e-mail] Marco Mamei Univ. of Modena and Reggio Emilia, Italy [e-mail] Bruno Dilecce 4S Sistemi Sicuri e Sostenibili S.r.l [e-mail] Paolo Burgio Univ.of M
Publicado en: 2024
Editor: 2024 Smart Systems Integration Conference and Exhibition (SSI)

Mission synthesis for accelerated multi-axial testing

Autores: A.G. de Miguel , U. Musella, R. Araujo, M. dal Borgo , E. Di Lorenzo
Publicado en: 2024
Editor: Siemens

Incremental Scheduling Using Genetic Algorithm

Autores: Omar Hekal, Daniel Onwuchekwa, Roman Obermaisser
Publicado en: 2024 International Symposium ELMAR, 2024
Editor: IEEE
DOI: 10.1109/ELMAR62909.2024.10694420

A Comprehensive Model for Analyzing the Effect and Acceptance of Electric, Connected, Autonomous, and Shared Mobility Technologies

Autores: Konstantina Karathanasopoulou, George Dimitrakopoulos, Despoina Mitsiogianni, Dimitris Georgiadis, Eleni Tsaousi
Publicado en: 2025
Editor: HUA University

Ground Segmentation Method Based on Polar Grid for 3D LiDAR Point Cloud

Autores: Katrina Tupule, Maksis Celitans, Kaspars Ozols
Publicado en: 2025
Editor: EDI

A Practical Survey on Static Task Scheduling Optimization Approaches for Heterogeneous Architectures

Autores: Jonas Hollmann, Matthias Lüders, Jakob Arndt, Ioannis Kyriakopoulos, Holger Blume
Publicado en: 2024
Editor: HeteroPAR 2024

Peer reviewed articles (6)

TinyML models for SoH estimation of lithium-ion batteries based on Electrochemical Impedance Spectroscopy

Autores: Spyridon Giazitzis, Abdisamad Ahmed Isse, Nicola Blasuttigh, Alessandro Massi Pavan, Davide M. Raimondo, Susheel Badha, Filippo Rosetti, Emanuele Ogliari
Publicado en: Journal of Power Sources, Edición 653, 2025, ISSN 0378-7753
Editor: Elsevier BV
DOI: 10.1016/J.JPOWSOUR.2025.237568

Analyzing cell-to-cell heterogeneities and cell configurations in parallel-connected battery modules using physics-based modeling

Autores: Simone Fasolato, Anirudh Allam, Simona Onori, Davide M. Raimondo
Publicado en: Journal of Energy Storage, Edición 129, 2025, ISSN 2352-152X
Editor: Elsevier BV
DOI: 10.1016/J.EST.2025.116942

Sensors

Autores: Dhiah el Diehn I. Abou-Tair; Raad Haddad; Ala’ Khalifeh; Sahel Alouneh; Roman Obermaisser
Publicado en: Sensors, 2023, ISSN 1424-8220
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/S23177617

A dataset for large prismatic lithium-ion battery cells (CALB L148N58A): Comprehensive characterization and real-world driving cycles

Autores: Simone Fasolato, Nicola Blasuttigh, Giacomo Galuppini, Davide M. Raimondo
Publicado en: Data in Brief, Edición 58, 2025, ISSN 2352-3409
Editor: Elsevier BV
DOI: 10.1016/J.DIB.2025.111301

Adaptive Deep Reinforcement Learning for Efficient 3D Navigation of Autonomous Underwater Vehicles

Autores: Elena Politi, Artemis Stefanidou, Christos Chronis, George Dimitrakopoulos, and Iraklis Varlamis
Publicado en: IEEE Access, Edición 12, 2024, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3508031

Data in Brief

Autores: Simone Fasolato; Nicola Blasuttigh; Giacomo Galuppini; Davide M. Raimondo
Publicado en: Data in Brief, 2025, ISSN 2352-3409
Editor: sciencedirect
DOI: 10.1016/J.DIB.2025.111301