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Hybrid, Ultra-High-Speed, High Efficiency, Power Dense, Electronically Controlled Energy Conversion Unit for Ship Systems, Unmanned Vehicles, and Robo

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-P-1185
Agency Tracking Number: N13A-028-0019
Amount: $77,625.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N13A-T028
Solicitation Number: 2013.A
Timeline
Solicitation Year: 2013
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-07-01
Award End Date (Contract End Date): 2014-04-30
Small Business Information
78 N. Main St PO 1700
Moab, UT -
United States
DUNS: 966515863
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 George Holling
 Techical Director
 (435) 259-5500
 George.Holling@ElectricDrivetrainTechnology.com
Business Contact
 Fred Stone
Title: Business Manager
Phone: (435) 259-5500
Email: Fred.Stone@ElectricDrivetrainTechnology.com
Research Institution
 University of Wisconsin
 Janice Kalvin
 
2557 Engineering Hall 1415 Engineering Drive
Madison, WI 53706-
United States

 (608) 263-7057
 Nonprofit College or University
Abstract

The Navy seeks to develop new, innovative motor/generator technologies that can effectively operate at speeds up to 1,000 kRPM at power densities of 40 kW/kg (excluding heat exchanger) with an overall system efficiency of 95% or better. Such a motor/generator will have a wide range of applications, i.e. it can be used as the core building block of a very lightweight electrical energy storage system for unmanned aerial vehicles (UAV) or to maintain power quality in micro-grids that experience high pulse loads such as airframes and Navy ships. We have identified that it is feasible in principle to build a 500 kW motor/generator operating above 750 kRPM using emerging technologies and materials. In our preliminary analysis we have identified several technologies and projected their respective performance. Technical risk factors and technical unknowns have been identified along with potential solutions. This framework will guide us in our Phase I analysis which is aimed to provide a more in depth analysis along with simulations and inputs from consultants to confirm the feasibility to build such a machine in Phase II with a reasonable promise of success. The research will be performed jointly with the University of Wisconsin and the University of Virginia.

* Information listed above is at the time of submission. *

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