Doctoral student in Data-driven AI based Battery Aging Modeling

Project description

Third-cycle subject: Energy and Environmental Systems, Energy Technology

To support the transition toward smarter and more sustainable building energy systems, the ALTBESS project, funded by the Swedish Energy Agency, focuses on advancing battery energy storage system (BESS) operation in buildings integrated with photovoltaic (PV) systems. The project investigates how data-driven methods and advanced optimization can improve battery performance while explicitly accounting for aging effects. The project is based on real-world case studies and combines simulation, optimization, and operational data.

The doctoral student will develop battery aging models tailored to the projects case studies using transfer learning and data-driven techniques, integrate the aging models into existing optimization and scheduling frameworks to enable aging-aware battery operation, and consolidate the developed models into a user-friendly software ...