Battery energy storage systems (BESSs) are central to integrating high shares of renewable energy and meeting the exponential demand growth of data centers while improving grid sustainability, stability, reliability, and resilience. AI/ML based approaches enable rapid and accurate state monitoring without complex coupling modeling with computational burden, and are flexible to different battery chemistries. Generalization of feature engineering and model extrapolation under complex working scenarios are the two key components in data-driven battery state estimation and health prediction. Recent advances span AI/ML‑enabled SOC/SOH estimation and degradation modeling, grid‑forming controls that support system strength and black start, safer architectures and sensors, and planning/operations tools that co‑optimize BESS with other generation sources, including renewables and demand‑side flexibility.
- Power System Dynamic Performance (PSDP) Technical Committee
- Energy Development & Power Generation (EDPG) Technical Committee
- Working Group on Machine Learning for Power Systems, Technologies and Innovation Subcommittee. This working group is under the Technologies and Innovation Subcommittee of the Power System Operation, Planning and Economics Committee (PSOPE)
- Energy Storage & Stationary Battery Committee (ESSB)
- Working Group on Management of Distributed Battery Storage Systems, Distributed Energy Resources Subcommittee, Energy Development & Power Generation (EDPG) Technical Committee
- Chair: Caisheng Wang,
- Srivastava, C. Wang, R. Moreno-Vieyra, and M. Negnevitsky, “Battery Energy Storage Applications in Power Systems (Webinar),” IEEE Power & Energy Society, PES Resource Center, Nov. 2019
- Rosewater, A. Chuang, R. Byrne, M. Starke, and S. Chakraborty, “Engineering Large-Scale Battery Energy Storage Systems (Slides),” IEEE Power & Energy Society, PES Resource Center, Mar. 2022.
- IEEE Power & Energy Society, “Opening the Door to Energy Storage,” IEEE Power & Energy Magazine, vol. 18, no. 6, pp. 14-72, Nov.-Dec. 2020.
- IEEE Power & Energy Society, “Battery Energy Storage at Scale (Special Issue),” IEEE Electrification Magazine, vol. 9, no. 4, pp. 1-64, Dec. 2025.
- Rouholamini, C. Wang, H. Nehrir, X. Hu, Z. Hu, H. Aki, B. Zhao, Z. Miao, K. Strunz, “A Review of Modeling, Management, and Applications of Grid-Connected Battery Storage Systems,” IEEE Transactions on Smart Grid, vol. 13, no. 6, 2022.
- Hu, Xiaosong, Yunhong Che, Xianke Lin, and Simona Onori “Battery health prediction using fusion-based feature selection and machine learning,” IEEE Transactions on Transportation Electrification 7.2 (2020): 382-398.
- Yunhong Che, Daniel-Ioan Stroe; Xiaosong Hu, and Remus Teodorescu “Semi-supervised self-learning-based lifetime prediction for batteries,” IEEE Transactions on Industrial Informatics 19.5 (2022): 6471-6481.
- Yusheng Zheng, Yunhong Che, Xiaosong Hu, Xin Sui, Remus Teodorescu. “Sensorless temperature monitoring of lithium-ion batteries by integrating physics with machine learning,” IEEE Transactions on Transportation Electrification 10.2 (2023): 2643-2652.
- Liu, W. Li, C. Wang, M. P. Polis, L.Y. Wang, and J. Li, “Reliability Evaluation of Large Scale Battery Energy Storage Systems,” IEEE Transactions on Smart Grid, vol. 8, no. 6, pp. 2733 – 2743, 2017.
- IEEE Power & Energy Society, “Grid-Forming Battery Storage (Feature Content),” IEEE Energy Sustainability Magazine, vol. 1, no. 2, pp. 1-54, June 2025.
- IEEE Power & Energy Society, “Energy Storage for Microgrids and Nanogrids (Webinar),” PES Resource Center, 2021.
- IEEE Power & Energy Society, “U.S. Policy Trends Affecting Energy Storage (Webinar),” PES Resource Center, Mar. 2020.
- IEEE Power & Energy Society, “IEEE PES Storage Tutorials Bundle: Battery Safety for Utilities (Sessions 1-3),” PES Resource Center, 2021.
- IEEE Power & Energy Society, “The Changing Resource Mix: Inverter-Based Resources and New BESS & Hybrid Plant Technologies (GM Panel Slides),” PES General Meeting, PES Resource Center, July 2021.
- IEEE Power & Energy Society, “Storage Topic Hub: Long-Duration Energy Storage; BESS Cybersecurity & Supply Chain; Planning/Deployment/Operations; Digital Twins,” PES Resource Center, 2025.
- IEEE Power & Energy Society, “ESSB Committee Overview Video: How to Get Involved,” PES Resource Center, 2023.