SBIR/STTR Research Award

Accelerated Calendar Life Prediction for Li-ion Cells

Award identifier c6517e2a8d98167dd8c9e4fdb18261eb949e0fc007dd1a246e5841f70ff61679Awarding agency Department of Energy

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2005

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
Farasis Energy, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
DE-FG01-04ER04-33
Topic code
17 d

Research abstract

79001S Currently, no reliable method exists to rapidly determine the potential calendar life of a Li-ion cell. This is a major barrier to the introduction of such advanced battery systems into commercial applications such as hybrid electric vehicles (HEVs), which require a battery life approaching 15 years. This problem must be solved before automakers begin adopting these technologies, which have the potential of dramatically improving the performance and lowering HEV cost. This project will develop a novel methodology for the rapid testing, modeling, and prediction of the life of a Li-ion cell. Phase I will demonstrate the basic approach for constructing and verifying the proposed methodology and model, and will perform proof-of-concept demonstrations. In Phase II, the full model will be developed, which would be applied to any Li-ion battery system. Commercial Applications and other Benefits as described by the awardee: The battery life prediction methodology should help enable and accelerate the rapid growth of the HEV market for U.S. automakers, giving them a chance to recapture the advantage against the current Japanese leaders. The widespread introduction of HEVs would also have many environmental benefits to the U.S.

Technology keywords

Not reported

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Agency intelligence

Department of Energy

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