Batteries are a necessary part of a low-emission energy system, as they can store renewable electricity and assist the grid. Utility-scale batteries, with capacities of several to hundreds of MWh, are particularly important for condominiums, local grid nodes, and EV charging arrays. However, such batteries are expensive and need to be monitored and managed well to maintain capacity and reliability. Artificial intelligence offers a solution for effective monitoring and management of utility-scale batteries.

• Chapter 1: Introduction
• Chapter 2: Utility-scale lithium-ion battery system characteristics
• Chapter 3: AI-based equivalent modeling and parameter identification
• Chapter 4: Use of artificial intelligence for utility-scale battery systems
• Chapter 5: AI-based state-of-charge estimation
• Chapter 6: AI-based battery parameter estimation
• Chapter 7: Examples and case studies for utility-scale battery operation
• Chapter 8: Summary and prospect for AI-based battery status monitoring