On October 23, 2025, Victoria O’Brien presented her research on “Detecting Battery Sensor Attacks Using Modeling, Estimation, and Statistics” at a NAATBatt Cybersecurity Committee Meeting. The presentation focused on how battery modeling, measurement estimation, and recursive statistical methods, specifically the Cumulative Sum (CUSUM) Algorithm, could be combined to detect and alert operators to false data injection attacks corrupting battery sensors. Following the presentation, a lengthy Q&A session allowed battery cybersecurity experts from industry, academia, and research facilities to discuss the findings. The NAATBatt Cybersecurity Committee aims to connect professionals interested in battery cybersecurity, with the goal of sharing research, educating the community, and improving the industry’s overall cybersecurity posture. Presenting at the NAATBatt Cybersecurity Committee Meeting reaches beyond traditional research-centric conferences to engage additional industry stakeholders. This presentation is particularly relevant as cybersecurity has recently emerged as a critical concern for operators in the energy storage sector. Committee members acknowledged that retroactive protections, such as the algorithms discussed in O’Brien’s talk, represent a potential solution to enhance battery security measures.
Citation: V. O’Brien, “Detecting Battery Sensor Attacks Using Modeling, Estimation, and Statistics,” presented at the NAATBatt Cybersecurity Committee Meeting, Oct. 23, 2025.
This material is based upon work supported by the U.S. Department of Energy, Office of Electricity (OE), Energy Storage Division.