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Advanced Real Time Battery Monitoring and Management System

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0357
Agency Tracking Number: N10A-013-0259
Amount: $69,984.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N10A-T013
Solicitation Number: 2010.A
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-06-28
Award End Date (Contract End Date): 2011-04-30
Small Business Information
3415 S. Sepulveda Blvd Suite 800
Los Angeles, CA 90034
United States
DUNS: 053885604
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Eric Adams
 Senior Engineer / Project
 (812) 558-7050
Business Contact
 Mike Witt
Title: Vice President
Phone: (812) 558-7100
Research Institution
 Purdue University
 James Caruthers
560 Oval Drive
West Lafayette, IN 47907
United States

 (765) 494-6625
 Nonprofit College or University

TSC and Purdue University will demonstrate a lab prototype of software and hardware capable of doing high speed monitoring of a Lithium-Ion cell. This monitoring needs to be specifically designed to predict failures. When a predictive failure is indicated a defensive countermeasure needs to be implemented. Our specific project goals are to: 1) Select a Lithium-Ion battery that consists of multiple cells. 2) Develop a list of common failure modes for Lithium-Ion cells specific to the selected battery. 3) Develop a list of specific data that needs to be collected that would allow the prediction of failure modes for this battery. 3) Develop a defensive countermeasure for each listed failure mode. 4) Develop a hardware monitoring architecture that will be attached to a Lithium-Ion cell/battery to monitor the desired points. 5) Develop a hardware safety architecture that will be attached to a Lithium-Ion cell/battery to implement when a failure mode is predicted. 6) Create a software program on a PC that controls the monitoring hardware and can then trigger the appropriate defensive countermeasure. 7) Analyze the hardware and software that have been designed and determine the method to scale to a deployable state

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

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