Inherent Information in the Broadband Electro-Magnetic Spectrum and its Applications in Power Electr
Abstract
EMI noise is usually considered as an un-avoidable side-effect in power electronics systems, and most of existing solutions are focu,sing on mitigating this noise effectively. This proposed project provides a new angle of looking into EMI problem, plans to extract,information from EM noise and utilize it for system encryption and health monitoring.Knowing that EMI noise pattern is determined by, converter switching dV/dt and system parasitics, in this project, the research team would like to conduct a systematic study on th,e EMI signatures in power electronics converters and analysis their inherent information, and thus to explore the relationship betwe,en EMI signatures and the system health conditions, including using EMI signatures to monitor system health and realize encrypted co,mmunication/system identification. This project establishes the basic theory and application framework for information harvesting/en,cryption/exchange/system monitoring from EMI signatures in power electronics systems. The main ideas in this project include: 1. Use, different converter/module layouts to control EMI noise mapping as a unique digital fingerprint for supply chain attack hardening d,esign. 2. Use active gating control to control power device dV/dt, and thus to control EMI signatures in real-time, and thus to use,this varying EMI signature for encrypted communication.3. Use EMI signatures to extract/estimate power converter health condition, a,nd thus to realize health monitoring and lifetime prediction, without adding additional sensors.The expected outcomes from this proj,ect provides new methods for system encryption and secured communication within power conversion systems. It can significantly impro,ve the naval electrical energy system reliability and resiliency, as well as enhancing the supply chain security of naval systems. A,pproved for Public Release
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 13, 2022
- Source ID
- N000142212546
Entities
People
- Fang Luo
Organizations
- Office of Naval Research
- Research Foundation for the State University of New York
- United States Navy