1. Computational Tools for Early Stage Design

2. Mission Develop a tool that computes metrics for user- defined system topologies based on Pareto optimal fronts to evaluate architectures as a function of system voltage(s), system frequencies. Metrics include: – cost, – weight/volume, – lethality (effectiveness), – reliability, – efficiency (losses), – survivability, – power density

3. Implementation Requires development of – one or more "solvers" that evaluates the metrics, – Methods for evaluating the metrics and weightings of various metrics – development of the data for Pareto optimal fronts for all pieces of equipment Develop tools to create the data

4. Additional Thoughts Tool should include both currently existing equipment and the technically possible. The optimum should not be a single optimum, but a design space, or Pareto frontier. Need to control number of dimensions to keep problem tractable. Include system as a whole and individual components Uncertainty/Sensitivity Analysis Don’t optimize a flawed system

5. Notional Design Solver: metric evaluation SM Generator DC Converter B DC Converter A IM Prop. Motor User Input: Topology, Ratings

6. Tasks Define/bound the one-year problem Identify existing technologies that can be applied Identify ownership of problem areas Create group on ESRDC website for information exchange First report in July. Monthly (virtual) meetings thereafter. First assignment (due in July): create a diagram of how the tool should be organized.

7. Points of Contact MIT – Chrys Chryssostomidis, chrys@mit.educhrys@mit.edu CAPS/FSU – Svetlana Poroseva, poroseva@caps.fsu.edu poroseva@caps.fsu.edu Purdue – Scott Sudhoff, sudhoff@purdue.edusudhoff@purdue.edu USC – Blake Langland, langland@engr.sc.edulangland@engr.sc.edu UT – Hamid Ouroua, a.ouroua@cem.utexas.edua.ouroua@cem.utexas.edu MSU – Tomasz Haupt, TomaszHaupt@gmail.comTomaszHaupt@gmail.com USNA/NPS – Ed Zivi, zivi@usna.eduzivi@usna.edu

8. Future Tasks Toolbox to allow stochastic sensitivity analysis in early design