A Time-Stamp Attack on Digital Twin-Based Lithium-ion Battery Monitoring for Electric Vehicles

Digital twin technology plays a crucial role in accurately estimating the State of Charge (SoC) for Lithiumion Batteries (LIBs) in the field of electric vehicles. These digital replicas provide real-time insights into LIB behavior, enabling predictive maintenance and ensuring vehicle performance and safety. However, the security of digital twin-based LIB monitoring systems has become a critical concern, despite their numerous benefits. This study delves into the security aspect of digital twin technology, focusing on the vulnerability of SoC estimation to timestamp attacks. These covert attacks disrupt the chronological order of data packets, casting a shadow on the integrity and accuracy of LIB state predictions. This research aims to shed light on the disruptive capability of timestamp attacks, emphasizing the need for robust defense mechanisms to safeguard the integrity of EV battery data and the reliability of prediction models.