MLBattProt EU project
Machine learning based model of battery cell aging used in computational geometry for on-line battery pack health protection - MLBattProt
A new project acronymmed MLBattProt has recently started its execution.
Project summary
The aim of this project, between Rimac Technology ltd and University of Zagreb, Faculty of Electrical Engineering and Computing is to use computational geometry and machine learning functions in a coherent procedure that allows to online determine the feasible battery loading profiles. In other words, this project addresses the problem of describing the aging of a battery cell by a dynamic model with direct aging states and with only the readily available cell measurements as inputs, by an innovative combination of estimation theory and machine learning.
The main project target groups are producers and users of systems with Li-ion batteries (electric vehicles, stationary storages) whose respective battery management systems can be significantly enhanced to secure battery life extension. The project also addresses research groups and companies for prospective further joint R&D oriented towards increasing the technology readiness level reached at the project end.
Project implementation period: 01.04.2024. - 30.06.2026.
Total budget: 1.819.125,68 EUR
EU grant amount: 1.387.021,57 EUR
Call: Targeted scientific research (NPOO.C3.2.R3-I1.04)
Project code: NPOO.C3.2.R3-I1.04.0263
Grant beneficiary: Rimac Technology ltd
Partner: University of Zagreb Faculty of Electrical Engineering and Computing
Contact person for additional information: Ninoslav Čerkez, Rimac Technology d.o.o.
MLBattProt – Battery Cell Aging Model Based on Machine Learning Used in Computational Geometry for Online Battery Pack Integrity Protection, a collaborative project between the Faculty of Electrical Engineering and Computing of the University of Zagreb and Rimac Technology d.o.o. are inviting you to SCIENTIFIC CONFERENCE ON NEW METHODS AND TECHNOLOGIES OF BATTERY SYSTEMS FOR ELECTRIC VEHICLES
The Scientific Council for the Oil and Gas Economy and Energy and the Scientific Council for Transport of the Croatian Academy of Sciences and Arts (HAZU), in collaboration with research projects from several faculties of the University of Zagreb—INSIGHT, conducted at the Faculty of Mechanical Engineering and Naval Architecture; LIONbat, conducted at the Faculty of Chemical Engineering and Technology and the Ruđer Bošković Institute; and MLBattProt, conducted at the Faculty of Electrical Engineering and Computing with Rimac Technology ltd are organizing a Scientific Conference on New Methods and Technologies for Battery Systems in Electric Vehicles.
The conference will take place on Friday, March 28, 2025, from 10:00 AM to 1:00 PM in the Library Hall of HAZU, Strossmayer Square 14, Zagreb.
In addition to representatives from the mentioned research institutions, speakers from BMW Group and Rimac Technology will also give presentations on the topic of batteries in electric vehicles.
More information about the conference program, as well as the registration form, can be found here ovdje. Registration for participation is mandatory.
International Workshop on Cooperative Control Systems: DECIDE, Dodola, and MLBattProt Projects
The University of Zagreb Faculty of Electrical Engineering and Computing (FER) hosted the International Workshop on Cooperative Control Systems, held on September 17–18, 2025, in Zagreb. The event brought together researchers from three innovative projects — DECIDE, Dodola, and MLBattProt — focusing on distributed control, predictive optimization, and machine learning applications in smart energy, water, and battery systems.
The workshop was organized under the umbrella of the projects:
DECIDE – Distributed Control for Dynamic Energy Management of Complex Systems in Smart Cities,
Dodola – Predictive Control for Efficient and Flexible Water Distribution System Operation, and
MLBattProt – Machine Learning-Based Model of Battery Cell Aging for On-Line Battery Pack Health Protection.
The first day of the event, Distributed Control for Dynamic Energy Management of Complex Systems in Smart Cities and Infrastructure, featured invited talks by international experts Filiberto Fele (University of Seville), Alexander J. Gallo (Politecnico di Milano), Ross Drummond (University of Sheffield), and Branimir Novoselnik (FER), covering topics such as cyber-physical security, control of lithium-ion batteries, and distributed optimization in energy systems.
In the afternoon sessions, researchers from the DECIDE, Dodola, and MLBattProt projects presented their latest results. Highlights included predictive control methods for smart buildings, climate-driven energy management, water system optimization, and machine learning models for battery aging. Presentations were given by Vinko Lešić, Hrvoje Novak, Blaž Korotaj, Filip Vrbanc, Nikica Perić, Mihael Jakšić, and Dorijan Leko.
The second day of the workshop focused on Horizon Europe 2026–2027 funding opportunities, including joint initiatives in Clusters 4 (Digital, Industry and Space) and 5 (Climate, Energy and Mobility), aiming to foster new European collaborations in the domains of smart cities, energy transition, and sustainable mobility.
The views and opinions expressed are solely those of the author and do not necessarily reflect the official position of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.