OPEVA - OPtimization of Electric Vehicle Autonomy

Digital, Industry & SpaceHORIZON-JU-RIAID: 101097267
EC Contribution
€75,522
Consortium Size
38 orgs
Start Year
2023
Summary

The project OPEVA aims for innovation on aggregating information from the vehicle, not only from the battery but also from other internal sensors and behaviours, to create a model of performance and consumption specific to the individual vehicle and its driver (TD1). It aims to optimize the individual driving episode using the out-vehicle data such as state of the road, weather, charging station location and occupancy etc. that are collated from the back-end systems (TD2). OPEVA will further address the challenges associated with the communication between the vehicle and the infrastructure to gather data from the back-end systems (TD3). It aims for innovation in the use of recharging stations and related applications (TD4). It further aims to achieve better understanding on what the battery and its constituent cells are really doing during real world use for an improved battery management system (TD5). Finally, TD6 covers the driver-oriented human factors for optimizing the electrical vehicle usage. The TDs from the most deeply embedded in the vehicle to its support in the cloud, which need to interwork in an optimal fashion to deliver in one decade a better level of systemic optimisation for personal mobility that took ten decades to achieve with fossil fuels. On the other hand, economic factors (N-TD1), legal and ethical aspects (N-TD2), EV related development by the human (N-TD3), and societal and environmental factors (N-TD4) will be taken into consideration in the OPEVA methods for a higher acceptance and the awareness of the society regarding the these developments.

Consortium (38)

🇫🇷 PERTIMM DEVELOPPEMENTFR
coordinator
🇹🇷 ACD BILGI ISLEM BILGISAYAR YAZILIMHIZMETLERI SANAYI VE TICARET LIMITED SIRKETITR
partner
🇪🇪 AI4SEC OUEE
partner
🇨🇿 AIS SPOL S R OCZ
partner
🇮🇹 ALKE SRLIT
partner
🇹🇷 BATILI OTOMOTIV SANAYI VE TICARET ANONIM SIRKETITR
partner
🇹🇷 BITNET BILISIM HIZMETLERI LIMITED SIRKETITR
partner
🇨🇭 CERTX AGCH
partner
🇦🇹 CISC SEMICONDUCTOR GMBHAT
partner
🇵🇹 CLEANWATTS DIGITAL SAPT
partner
🇵🇱 ERGTECH SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIAPL
partner
🇹🇷 ERGUNLER INSAAT PETROL URUNLERI OTOMOTIV TEKSTIL MADENCILIK SU URUNLER SANAYI VE TICARET LIMITED STI.TR
partner
🇹🇷 ESKISEHIR OSMANGAZI UNIVERSITESITR
partner
🇮🇹 FLASH BATTERY SRLIT
partner
🇵🇹 I-CHARGING MOBILIDADE ELECTRICA S APT
partner
🇹🇷 INOVASYON MUHENDISLIK TEKNOLOJI GELISTIRME DANISMANLIK SANAYI VE TICARET LIMITED SIRKETITR
partner
🇩🇪 INSTITUT FUR AUTOMATION UND KOMMUNIKATION EVDE
partner
🇵🇹 INSTITUTO SUPERIOR DE ENGENHARIA DE LISBOAPT
partner
🇵🇹 INSTITUTO SUPERIOR DE ENGENHARIA DO PORTOPT
partner
🇵🇹 INTERNATIONAL IBERIAN NANOTECHNOLOGY LABORATORYPT
partner
🇫🇷 LA ROCHELLE UNIVERSITEFR
partner
🇨🇭 LOXO AGCH
partner
🇮🇹 LUNA GEBER ENGINEERING SRLIT
partner
🇦🇹 NXP SEMICONDUCTORS AUSTRIA GMBH & CO KGAT
partner
🇫🇷 NXP SEMICONDUCTORS FRANCEFR
partner
🇹🇷 ORTEM ELEKTRONIK ASTR
partner
🇧🇪 POWERDALEBE
partner
🇮🇹 SENSICHIPS SRLIT
partner
🇫🇷 SERMA ENERGYFR
partner
🇦🇹 TECHNISCHE UNIVERSITAET GRAZAT
partner
🇹🇷 TOGI TEKNOLOJI SANAYI VE TICARET LIMITED SIRKETITR
partner
🇮🇹 UNIVERSITA DEGLI STUDI DI PARMAIT
partner
🇮🇹 UNIVERSITA DEGLI STUDI DI PERUGIAIT
partner
🇫🇷 UNIVERSITE BOURGOGNE EUROPEFR
partner
🇨🇭 UNIVERSITE DE GENEVECH
partner
🇦🇹 VIRTUAL VEHICLE RESEARCH GMBHAT
partner
🇧🇪 VRIJE UNIVERSITEIT BRUSSELBE
partner
🇨🇿 ZAPADOCESKA UNIVERZITA V PLZNICZ
partner

Project Results (23)

Source: CORDIS, the EU research results database.

Publications (21)
A Reinforcement Learning-Based Solution for the Capacitated Electric Vehicle Routing Problem from the Last-Mile Delivery Perspective
Applied Sciences· 2025DOI
Özge Aslan Yıldız, İnci Sarıçiçek, Ahmet Yazıcı
A Way Towards Energy Autonomous Wireless Sensing for EV Battery Management System
IEEE Journal of Microwaves· 2025DOI
Badar Muneer, Valentina Palazzi, Federico Alimenti, Paolo Mezzanotte, Luca Roselli
Analysis of Factors Affecting Electric Vehicle Range Estimation: A Case Study of the Eskisehir Osmangazi University Campus
Sustainability· 2025DOI
Ahmet Alperen Polat, Sinem Bozkurt Keser, İnci Sarıçiçek, Ahmet Yazıcı
CityLearn v2: energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities
Journal of Building Performance Simulation· 2025DOI
Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, Tiago Fonseca, Giuseppe Pinto, Dipanjan Ghose, Satvik Duddukuru, Pavani Pratapa, Han Li, Javad Mohammadi, Luis Lino Ferreira, Tianzhen Hong, Mohamed Ouf, Alfonso Capozzoli, Zoltan Nagy
Electric Vehicle Routing with Time Windows and Charging Stations from the Perspective of Customer Satisfaction
Applied Sciences· 2025DOI
Yasin Ünal, İnci Sarıçiçek, Sinem Bozkurt Keser, Ahmet Yazıcı
EVLearn: extending the cityLearn framework with electric vehicle simulation
Energy Informatics· 2025DOI
Tiago Fonseca, Luis Lino Ferreira, Bernardo Cabral, Ricardo Severino, Kingsley Nweye, Dipanjan Ghose, Zoltan Nagy
Federated deep learning for enhanced prediction of electric vehicle charging station availability
Cluster Computing· 2025DOI
Lydia Douaidi, Sidi-Mohammed Senouci, Ines El Korbi, Fouzi Harrou, Ahmet Yazıcı
Next-Generation Battery Management Systems: Integrating RFID for Battery Passport Applications
2024 IEEE International Conference on RFID Technology and Applications (RFID-TA)· 2025DOI
Florian Scherr, Fikret Basic, Patrick Eder, Christian Steger, Robert Kofler
Optimizing EV Charging Recommendations Using Graph Neural Networks
2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)· 2025DOI
Lydia Douaidi, Sidi-Mohammed Senouci, Ines El Korbi, Fouzi Harrou
Utilizing Data-Driven Techniques to Improve Predictive Modeling of Connected Electric Vehicle Energy Consumption
2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)· 2025DOI
Ahmed-Ramzi Houalef, Florian Delavernhe, Sidi-Mohammed Senouci, El-Hassane Aglzim
A Robust Distributed Algorithm for Solving the Economic Dispatch Problem with the Penetration of Renewables and Battery Systems
Applied Sciences· 2024DOI
Karel Kubicek, Martin Cech, Martin Strelec
EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle-to-Grid Energy Management
2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)· 2024DOI
Tiago Fonseca, Luis Ferreira, Bernardo Cabral, Ricardo Severino, Isabel Praça
LoRa meets IP: a Container-based Architecture to Virtualize LoRaWAN End Nodes
IEEE Transactions on Mobile Computing· 2024DOI
A. Cilfone, L. Davoli and G. Ferrari
Prognostics and Health Management for Batteries: Comparative Analysis of Machine Learning Techniques for Accurate SoH Estimation
2024 Innovations in Intelligent Systems and Applications Conference (ASYU)· 2024DOI
Tolga Ay, Yunus Emre Isikdemir, Hakan Bicer, Zeynep Tugba Cem, Ali Kafali, Muhammed Oguz Tas
The OPEVA Manifest: OPtimisation of Electrical Vehicle Autonomy, a Research and Innovation project
Open Research Europe· 2024DOI
Alper Kanak, Salih Ergün, Ibrahim Arif, S. Halit Ergün, Cengiz Bektaş, Ali Serdar Atalay, Oguzhan Herkiloğlu, Dominique Defossez, Ahmet Yazıcı, Luis Lino Ferreira, Martin Strelec, Karel Kubicek, Martin Cech, Luka Davoli, Laura Belli, Gianluigi Ferrari, Dilara Bayar, Ali Kafalı, Yunus Karamavuş, Asaf Mustafa Sofu, Ahu Ece Hartavi Karcı, Patrick Constant
Wi-Fi-Based Real-Time UAV Localization: A Comparative Analysis Between RSSI-Based and FTM-Based Approaches
IEEE Transactions on Aerospace and Electronic Systems· 2024DOI
Emanuele Pagliari, Luca Davoli, Gianluigi Ferrari
A Review on Multilevel Converters for Efficient Integration of Battery Systems in Stationary Applications
Energies· 2023DOI
Rauf, A.M.; Abdel-Monem, M.; Geury, T.; Hegazy, O
Dataset for identifying maintenance needs of home appliances using artificial intelligence
Data Brief· 2023DOI
Tiago Fonseca; Pedro Chaves; Luis Lino Ferreira; Nuno Gouveia; David Costa; André Oliveira; Jorge Landeck
Exploring Trust Modeling and Management Techniques in the Context of Distributed Wireless Networks: A Literature Review
IEEE Access· 2023DOI
T. Lenard, A. Collen, M. Benyahya, N. A. Nijdam and B. Genge
Guidance Framework for Developing IoT-Enabled Systems’ Cybersecurity
Sensors; Volume 23; Issue 8; Pages: 4174· 2023DOI
Hezam Akram Abdulghani; Anastasija Collen; Niels Alexander Nijdam
Performance Assessment and Mitigation of Timing Covert Channels over the IEEE 802.15.4
Journal of Sensor and Actuator Networks; Volume 12; Issue 4; Pages: 60· 2023DOI
Ricardo Severino; João Rodrigues; João Alves; Luis Lino Ferreira
Deliverables (2)
Websites, patent fillings, videos etc.