Vanadium Redox Flow Battery

Vanadium redox flow batteries (VRFBs) are rechargeable batteries that store energy in liquid electrolytes, offering advantages for large-scale energy storage applications. Current research heavily focuses on improving VRFB performance and control through advanced modeling techniques, including physics-informed neural networks and other machine learning algorithms like XGBoost, to accurately predict battery behavior under various operating conditions, such as temperature and charge/discharge rates. These models aim to optimize thermal management and enhance overall efficiency, ultimately contributing to the development of more reliable and cost-effective energy storage solutions. The improved predictive capabilities of these models are crucial for advancing VRFB technology and its integration into renewable energy grids.