Characterization, Monitoring, and Management of the State-of-Health of Integrated Shipboard Power Sy
Abstract
Approved for Public ReleaseThis work proposes to assist the U.S. Navy in the development of high-power pulsed mission systems for th,e fleet by- Characterizing the State of Health (SoH) of electrochemical storage under pulsed-power conditions,- Developing models an,d active condition monitoring (ACM) techniques for SoH detection of an electrochemical storage device, and- Incorporating these tech,niques into integrated power system (IPS) energy management systems and operations for improved resilience and extended lifespan thr,ough the development of Health-Conscious Adaptive Control (HCAC) algorithms.This project will be carried out in collaboration with t,he Pulsed Power and Energy Laboratory (PPEL) of the University of Texas, Arlington, and the Center for Advanced Power Systems (CAPS), of Florida State University. Working with PPEL and CAPS, the UM team will develop and demonstrate the proposed models and ACM techn,iques. The methodologies demonstrated and the component health models developed by the UM team will be shared and integrated with th,ose developed by PPEL and CAPS.This three-year project is organized into five major tasks that include: (1) Experiment design and da,ta acquisition of battery aging under high C-rate and different temperature conditions; (2) Characterization of battery system aging, and model development; (3) Active condition monitoring (ACM) and health-conscious adaptive control (HCAC) methodology and algorithm, development; (4) Case studies of ACM and HCAC for shipboard integrated power systems; (5) Integration and demonstration of ACM and,HCAC. The project team will leverage the complementary technical expertise and laboratory infrastructure at the three institutions t,o deliver engineering tools and solutions to advance the IPS technology.The expected deliverables will consist of data collection of, battery cells/strings under time-varying load and operating conditions, degradation models to support condition monitoring and cont,rol, new algorithmsfor improved real-time SoH estimation and health-conscious power management, and a final joint report from UM, FS,U, and UTA.In executing the research plan, the project team will also contribute to the training and education of the future Navy wo,rkforce. Undergraduate and graduate students with electrical engineering, mechanical engineering, and marine engineering backgrounds, will work together to address the multi-disciplinary challenges.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 08, 2022
- Source ID
- N000142212442
Entities
People
- Jing Sun
Organizations
- Board of Regents of the University of Michigan
- Office of Naval Research
- United States Navy