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International projects source: SICRIS

NEXT-generation physics and data-based Battery Management Systems for optimised battery utilization

Keywords
advanced battery management system, battery lifetime, battery modelling and simulation
Organisations (1) , Researchers (11)
0782  University of Ljubljana, Faculty of Mechanical Engineering
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  15341  PhD Amer Amor Chowdhury Haque  Systems and cybernetics  Researcher  2024 - 2026  327 
2.  61321  Sayandeep Dutta  Energy engineering  Researcher  2025 
3.  23468  PhD Tomaž Katrašnik  Energy engineering  Leader of the participating RO  2023 - 2026  743 
4.  60406  Nishan Koirala  Energy engineering  Researcher  2024 - 2026 
5.  39813  Igor Mele  Materials science and technology  Researcher  2024 - 2026  63 
6.  28561  PhD Jože Moškon  Materials science and technology  Researcher  2024 - 2026  110 
7.  28467  PhD Samo Penič  Electronic components and technologies  Researcher  2025 - 2026  126 
8.  57056  Lana Regent  Materials science and technology  Researcher  2024 - 2026 
9.  53507  Žiga Rosec  Energy engineering  Researcher  2025 - 2026  25 
10.  36136  MSc Valentina Šimić Škraba  Mechanics  Researcher  2026 
11.  52429  PhD Blaž Tratnik  Materials science and technology  Researcher  2024 - 2026  32 
Abstract
The EU aims to become an economy with net-zero greenhouse gas emissions, achieving climate neutrality by 2050. Batteries will enable this clean energy transition by helping to decarbonise transport and enabling a higher uptake of renewable energy technologies. Therefore, the electrification of the European economy and society, both in transport and stationary storage sectors, has resulted in an expensive growth of the European battery industry (from battery cell manufacturers to recycling and second use companies). Achieving optimal utilisation of battery systems (by increasing the operational and lifetime usage window and reducing cost via a more efficient and appropriate use of materials) benefits not only the environment but also the end-users. The overall NEXTBMS aim is to develop an advanced battery management systems (BMS) built on fundamental knowledge and experience with the physicochemical processes of lithium-ion batteries, which will enable the significant enhance of current modelling approaches, including the readiness for upcoming lithium (Li) battery material developments. These modelling approaches will be further improved by optimising sensors and measurement techniques to meet modelling needs (and optimising models based on physical sensor data) and the physical cell configurations to form a framework that supports improving the battery state prediction and -control. By solving these challenges, NEXTBMS will ensure that the next generation of BMSs will enable higher performance, safety, and longer lifetime of the battery cells for an overall optimal utilisation of the battery system. As the NEXTBMS results aim to be implemented in a large variety of the transport and energy storage sectors, the project has a wide market potential to impact and revolutionize the entire battery market and to contribute in achieving the Green Deal objectives.
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