Platform Li-Ion Battery Risk Assessment Tool

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0257
Agency Tracking Number: N10A-014-0203
Amount: $70,000.00
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
Oceanit Center, 828 Fort Street Mall, Suite 600, Honolulu, HI, 96813
DUNS: 144540283
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Suthee Wiri
 Senior Scientist
 (808) 531-3017
Business Contact
 Ken Cheung
Title: Science & Technology Mana
Phone: (808) 531-3017
Email: kcheung@OCEANIT.COM
Research Institution
 National Renewable Energy Lab
 Ahmad Pesaran
 1617 Cole Blvd
Golden, CO, 80401
 (303) 275-3000
 Federally funded R&D center (FFRDC)
Modern warfare is becoming increasingly dependent on high technology and the means to power it. Lithium-ion batteries are a popular power choice due to high energy density and long charge hold. Unfortunately Lithium-ion batteries also have some distinct disadvantages including the possibility of catastrophic failure. This is of significant importance when the battery failure may take place in close proximity to explosive or propellant such as in a missile system or in a confined space such as the battery compartment of a diesel-electric submarine. A single cell that ruptures and catches fire may disrupt adjacent cells and cause a runaway effect through a battery bank that becomes uncontrollable. There exists a need for a tool to assess the risks of Li-ion battery casualty at the cell, pack, and system levels. In order to safely utilize Lithium-ion battery technologies, we propose a tool to fill the unmet need of risk assessment by modeling the potential of a cell level casualty and the consequent effects that would have on the surroundings. We will utilize the expertise at Oceanit and NREL to create a tool based on software specialized for simulating high speed, energetic expansion for the failure modes of Li-ion batteries.

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

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