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A Battery Pack Risk Assessment Tool

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0255
Agency Tracking Number: N10A-014-0374
Amount: $69,957.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N10A-T014
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
P.O. Box 71
Hanover, NH 03755
United States
DUNS: 072021041
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Bruce Pilvelait
 Principal Investigator
 (603) 643-3800
Business Contact
 James Barry
Title: President
Phone: (603) 643-3800
Research Institution
 National Renewable Energy Lab
 Barbara Goodman
1617 Cole Blvd.
Golden, CO 80401
United States

 (303) 275-3000
 Federally Funded R&D Center (FFRDC)

When many Lithium-ion battery cells are integrated into a large pack, the possible outcomes resulting from individual cell faults are complex and difficult to predict. Consequently, there is great interest in developing design tools to aid in the optimization of pack performance as well as to understand and mitigate the effects of individual cell failures from propagating to other cells or even the host platform. During this program, we will determine the feasibility of developing a software-based Battery Pack Risk Assessment Tool to accomplish these goals. Our previously developed Lithium-ion battery pack predictive algorithms include three-dimensional, coupled electro-chemical, electrical, and thermal physical models which encompass a multitude of failure mechanisms and provide broad state-of-health awareness. During Phase I we will adapt these algorithms and develop a user interface to allow the designer to assess the overall impact on battery pack and host platform for a cell-level fault. During Phase II we will work with our commercialization partners to conduct laboratory testing, validate the models, and extend the tools to allow analysis of multiple configurations.

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

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