Battery energy storage systems (BESSs) are critical for integrating renewable energy, supporting data center growth, and enhancing grid performance, with AI/ML approaches enabling efficient, chemistry-flexible state monitoring and health prediction. However, as these systems grow in complexity and scale, so does the need for intelligent, real-time control. AI/ML based approaches enable rapid and accurate state monitoring. Battery Energy Storage Systems (BESS) are quickly rising to the forefront as a crucial enabler of energy stability in modern grids. Its dual role is to store excess.