Cell behaviour-aware power capability prediction and operation optimization of large-scale battery systems

Research Project, 2025 – 2027

Large-scale battery system applications, e.g., transportation electrification and grid-level renewable energy integration, are vital for the EU to achieve net-zero emissions by 2050. In such battery systems, real-time operating behaviours of individual battery cells determine the system’s overall performance and safety, highlighting the need to develop cell behaviour-aware control algorithms for advanced battery system management. Thus, in this project ProBat, we will take into account the specific operating limits of all internal battery cells for accurately predicting and significantly boosting battery system's maximum allowable charge and discharge power, i.e., state of power (SoP). Then, the obtained cell behaviour-aware battery system SoPs will act as the operating power limits for further optimising the system's operation performance. Overall, we aim to achieve 1) an accurate prediction algorithm for the long-horizon SoPs of battery systems, 2) a high-efficiency dynamic reconfiguration algorithm for boosting battery system SoPs, and 3) an optimal control framework of dynamic reconfiguration for optimising battery system performance.