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Record W2302129186 · doi:10.1149/ma2014-02/7/516

3M HQ-115 (LiTFSI) Electrolyte Additive Dramatically Improves Battery Performance in Electrolytes Containing Trace Amounts of Water

2014· article· en· W2302129186 on OpenAlexaffabout
Ang Xiao, K. W. Eberman, Bill Lamanna, Gaurav Jain, Hui Ye, John C. Burns, Nupur Nikkan Sinha, J. R. Dahn

Bibliographic record

VenueECS Meeting Abstracts · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsElectrolyteSeparator (oil production)Materials scienceElectrochemistryGraphiteLithium (medication)ElectrodeChemical engineeringChemistryComposite materialMedicine

Abstract

fetched live from OpenAlex

3M has successfully commercialized lithium bis(trifluoromethanesulfonyl) imide (LiTFSI) (trade name: HQ-115) as an electrolyte additives in commercial lithium ion batteries. Based on our investigations and customer’s feedback, when used as an electrolyte additive, HQ-115 improves cycle life in Graphite/LiCoO2 cells at high temperature. Similar results are obtained in Graphite/MNC cells. Cycle life improvements achieved by adding HQ-115 correlates with reduced cell impedance. HQ-115 also reduces gassing at the negative electrode and can prevent shorting under high temperature float test conditions with single layer PE separator. Thus cell life and safety are improved using HQ-115 as additives in standard electrolyte. Recent studies by 3M, Dalhousie University, and Medtronic indicate that HQ-115 is a useful additive for maintaining acceptable cell performance under conditions where moisture levels in the electrolyte are elevated. It is interesting that the addition of HQ-115 to either VC+100 ppm water or VC+1000 ppm water cells reduced the cell swelling and impedance rise compared to identical cells without HQ-115, consistent with later long term cycling data at 55oC. Thus HQ-115 additive can enable relaxation of specifications on water in electrolyte. The results reported herein suggest that relaxing specifications on water content in electrolyte with added HQ-115 as additives may be one avenue for cost-reduction of Li-ion cells with graphite negative electrodes. In August 2013, 3M, Dalhousie University, and Medtronic jointly filed a global patent application to cover these new benefits of 3M’s HQ-115 electrolyte additives in lithium ion batteries. References: Burns, John Christopher; Dahn, Jeffrey Raymond; Eberman, Kevin Wilmot; Jain, Gaurav; Lamanna, William Mario; Sinha, Nupur Nikkan; Xiao, Ang; Ye, Hui, US Patent Application 61/868043, Lithium Ion Battery Electrolytes and Electrochemical Cells, August 2013

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.223
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes2
Has abstractyes

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