Affiliation:
1. Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA
2. Energy Storage Technology and Systems Group, Sandia National Laboratories, Albuquerque, NM, USA
Funder
U.S. Department of Energy
National Technology & Engineering Solutions of Sandia, LLC
Honeywell
U.S. Department of Energy's National Nuclear Security Administration
U.S. Department of Energy, Office Electricity, Energy Storage Program
U.S. Department of Education's Program on Graduate Assistance in Areas of National Need to Texas Tech University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering
Cited by
6 articles.
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1. Data-driven defense framework for sequential FDIAs in grid-connected battery energy storage system;Journal of Energy Storage;2024-10
2. A Comparison of Online Model-Based Anomaly Detection Methods for a Lithium-Ion Battery Cell;2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM);2024-06-19
3. Adaptive Battery State Estimation Considering Input Noise Compensation;2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM);2024-06-19
4. False Data Injection Attack Detection Methods for Battery Stacks with Input Noise;2024 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT);2024-02-19
5. Increasing Battery Management System Resilience Following Identification of Sensor Anomalies Using Unknown Input Observer;2024 IEEE Electrical Energy Storage Application and Technologies Conference (EESAT);2024-01-29