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Battery Management System for Monitoring and Diagnostics of Energy Storage Modules

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00024-12-P-4037
Agency Tracking Number: N113-177-0157
Amount: $80,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N113-177
Solicitation Number: 2011.3
Timeline
Solicitation Year: 2011
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-05-01
Award End Date (Contract End Date): N/A
Small Business Information
VA Suite 400
Roanoke, VA 24016-4692
United States
DUNS: 627132913
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jeffrey Demo
 Principal Investigator
 (434) 220-9443
 demoj@lunainnovations.com
Business Contact
 Maggie Hudson
Title: Senior Contracts Administ
Phone: (434) 483-4254
Email: submissions305@lunainnovations.com
Research Institution
 Stub
Abstract

As energy requirements grow with continued advancement of the Navy"s electric ships, the role of efficient, reliable energy storage systems becomes more and more critical in the execution of naval operations. The use of advanced electrical systems onboard Navy ships enables enhanced functionality, increased fuel savings, and reduced dependence on conventional fuel sources. Although energy storage technologies have advanced significantly in the previous decades, the ability to monitor these systems, diagnose failures, and predict remaining useful life has not progressed at the same rate as the storage systems. As such, in order to allow Navy ships to perform advanced diagnostics on existing and future energy storage systems, Luna proposes the development of an electro-impedance spectroscopy based battery monitoring system (BMS) to autonomously identify energy storage type, determine system state of health, and adjust operational parameters to ensure optimal system usage. The proposed BMS will employ open architecture design principles, be adaptable to a wide range of energy storage technologies, and be easily integrated into existing and future naval platforms. The system"s embedded intelligence will allow for advanced algorithms to be executed on platform, providing for the highest level of accuracy, repeatability, and reliability in energy storage module monitoring.

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

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