-

Presentation shares benefits, challenges of grid-forming battery energy storage systems
On March 26, Sandia researcher Oindrilla Dutta presented at an industry session at the 41st IEEE Applied Power Electronics Conference and Exposition (APEC). The presentation focused on grid-forming battery systems. These systems can provide significant benefits to the grid by mitigating transients, enabling black start, offering fault ride through, and supplying uninterrupted power to critical… Read More
-

Best poster award: AI-Agents for advanced battery data analytics
Research to enable advanced battery data analytics using multi-modal AI agents was recognized as among the six best posters at the AI x Energy Summit. Sandia’s Sel Ly presented the poster titled, “Multi-modal AI-Agents for advanced battery data analytics” at the summit, held in San Diego, CA, USA on March 19-20, 2026. The research was… Read More
-

Study: Anode design keeps alkaline zinc batteries’ rechargeability intact
Rechargeable alkaline zinc batteries could supply safer and lower-cost energy storage for large-scale, stationary battery installations compared to similar alternatives. However, their commercial development and use for grid-scale energy storage is still in its infancy, in part due to the poor reversibility of zinc anodes in alkaline electrolytes. This means that over time and use,… Read More
-

Amid rising grid demands, supercapacitor-based energy storage technologies can help microgrids respond
Supercapacitors’ ability to quickly charge and discharge energy could make them an asset for utilities, data centers, and commercial or industrial customers. But their need for systems-level engineering and costly customization has stymied their use at higher voltages and power. Sandia National Laboratories, with partners Capacitech Energy and Orlando Utilities Commission (OUC), recently published a laboratory report from a demonstration which used supercapacitor-based energy storage technology to support black… Read More
-

Sandia supports development of faster battery models
Sandia researchers contributed to a new publication that describes 10x faster physics-based battery models. Accurate battery models are essential for safe control and extended lifetime of batteries in applications ranging from consumer electronics to grid energy storage. Physics-based battery models offer significantly higher accuracy in predicting battery performance, but they are typically too computationally demanding to implement… Read More
-

Educating federal agencies on the role of energy storage in AI data centers
On February 24, researchers Jackie Huynh (PNNL) and Yuliya Preger (SNL) delivered a requested presentation on the “Role of Energy Storage in AI Data Centers” at the quarterly meeting of the Federal Consortium for Advanced Batteries (FCAB). FCAB brings together program managers from dozens of federal agencies from Departments including Energy, War, Commerce, and State… Read More
-

Technical support helps deliver, demonstrate energy storage for resilience, affordability, and emergency response
Henry Guan, Tim Wilcox, Waylon Clark, and Charlie Hanley from Sandia National Laboratories attended the ribbon cutting event on February 10 for a battery energy storage project in Baton Rouge, Louisiana. The project, located at the IBEW Local 995 facility in Baton Rouge, is one of 20 microgrids, called Community Lighthouses, that have been installed… Read More
-

Research explores scaling up online, model-based anomaly detection for improved battery system safety, reliability, and availability
The online monitoring of battery energy storage systems (ESSs) is crucial to detecting sensor anomalies that could have detrimental impacts on the system’s safety, reliability, and availability. Model-based anomaly detection mechanisms could be integrated into battery management systems (BMSs) with modeling and estimation capabilities. However, previous model-based anomaly detection mechanisms have been tested only on… Read More
