NiPEC-PEPDS Solution Space Exploration - Digital Twin Based Dielectric Scaling Law and Health Prognosis

Abstract

This proposal addresses two Critical Technology Elements (CTEs) that are unique to the University of Wisconsin-Milwaukee (UWM) contributions to enabling early shipboard solution space exploration of the Power Electronics-based Power Distribution System (PEPDS) ofan Integrated Power and Energy System (IPES) into the Navy Integrated Power and Energy Corridor (NiPEC) through a Model-Based Systems Engineering process. The first area is execution of PEPDS solution space execution within an Integration Framework that connects together the following: (1.) A Virtual Prototyping Process (VPP) that searches for Pareto-optimized solutions to Drawer-based implementations of PEPDS Power Trains in an evolutionary environment for each combination of a set of design space variables related to the electrical framework, thermal management and architecture driving considerations; (2.) Extraction of metamodels for Power Train Drawers that captures VPP solutions on the Pareto front weighted to various objectives; (3.) Use of Drawer metamodels to execute n of Size, Weight, Area and Power versus Coolant (SWAaP-C) analysis of Drawer arrangements in NiPEC matched to sources and loads to identify feasible NiPEC-PEPDS solution sets; (4.) Execution of PEPDS system analysis to inform down-select to viable solutions and energy storage optimization based upon operational performance metrics. The second area of focus is on the development of Dielectric Scaling Laws (DLS) that connect metrics of size, weight and Remaining Useful Life (RUL) to electro-thermal design space variables. TheDLS are derived from a machine learning approach that connects measurement to a physics-based model.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 08, 2024
Source ID
N000142412586

Entities

People

  • Robert Cuzner

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Wisconsin System

Tags

Fields of Study

  • Engineering

Readers

  • Electrical Engineering
  • Operations Research
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Microelectronics
  • Space