Advanced Real Time Battery Monitoring and Management System

Award Information
Agency:
Department of Defense
Amount:
$69,984.00
Program:
STTR
Contract:
N00014-10-M-0357
Solitcitation Year:
2010
Solicitation Number:
2010.A
Branch:
Navy
Award Year:
2010
Phase:
Phase I
Agency Tracking Number:
N10A-013-0259
Solicitation Topic Code:
N10A-T013
Small Business Information
Technology Service Corporation
3415 S. Sepulveda Blvd, Suite 800, Los Angeles, CA, 90034
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
053885604
Principal Investigator
 Eric Adams
 Senior Engineer / Project
 (812) 558-7050
 eric.adams@tsc.com
Business Contact
 Mike Witt
Title: Vice President
Phone: (812) 558-7100
Email: mike.witt@tsc.com
Research Institution
 Purdue University
 James Caruthers
 560 Oval Drive
West Lafayette, IN, 47907
 (765) 494-6625
 Nonprofit college or university
Abstract
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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