Dataset of Noise Signals Generated by Smart Attackers for Disrupting State of Health and State of Charge Estimations in Battery Energy Storage Systems

This dataset is derived from real-time MATLAB/Simscape simulations, focusing on the impact of subtle noise signals on battery energy storage systems. Using Proximal Policy Optimization (PPO), noise signals in millivolt and milliampere ranges are generated to stealthily disrupt the State of Charge (SoC) and State of Health (SoH) estimations within Unscented Kalman Filters (UKF). Designed to evade detection while causing estimation errors, this dataset is a valuable resource for studying and mitigating smart cyber-physical attacks. It can be reused in research to enhance the resilience of SoC and SoH estimation methods and develop robust defensive strategies.