An Effective Hybrid Approach for Detection of False Data Injection Attacks in Connected Battery Systems with Noisy Measurements

Farshid Naseri, Zahra Kazemi, Nima Tashakor, Anders Christian Solberg Jensen, Corneliu Barbu, Erik Schaltz

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Finished
DeepBMS: Deep Reinforcement Learning-Based Battery Management System for Electric Vehicles
Naseri, F. (PI), Schaltz, E. (PI) & Christensen, M. D. (Project Coordinator)
15/03/2023 → 14/03/2025
Project: Research