Identification number: OSI_PIP_BioPhoT-2025/1-0075
Type: National Research Program - BioPhoT project
Duration: 20.10.2025. - 30.09.2026.
Project manager: Dr.phys. Gints Kučinskis, Institute of Solid State Physcis, University of Latvia (ISSP UL)
ISSP UL funding: 200 000 EUR
Project Description:
This project will develop a physics-informed, data-driven algorithm that extends the service life of Li-ion battery cells by dynamically optimizing their operating temperature based on real-time state-of-health (SoH). Focusing on 18650 LFP cells relevant for Battery Energy Storage Systems (BESS), the algorithm will be validated under laboratory conditions (TRL 4) and designed for integration into Battery Management Systems (BMS). Previous experimental results by the project team demonstrated that degradation follows a U-shaped Arrhenius-type curve, with distinct mechanisms at low and high temperatures. The new model will combine a simplified internal temperature estimation sub-model with a pulse-based SoH estimation method using the Improved Single Particle (ISP) framework. By adjusting temperature based on predicted degradation, the system aims to increase battery cycle life by 10–20%, reduce the levelized cost of storage (LCOS), and support EU climate goals. The project includes experimental validation, algorithm development, stakeholder engagement, and early-stage commercialization planning. This lays the foundation for future scale-up to TRL 5–6 and broader adoption in the energy storage sector.