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Record W2510313524 · doi:10.1149/ma2016-02/4/530

Low Temperature Electrolytes in High Specific Energy 18650 Li-Ion Cells for Future NASA Missions

2016· article· en· W2510313524 on OpenAlexaff
Marshall C. Smart, Frederick C. Krause, John‐Paul Jones, Larry Whitcanack, B. V. Ratnakumar, Erik J. Brandon, Mark Shoesmith

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsE-One Moli Energy (Canada)
Fundersnot available
KeywordsRange (aeronautics)Lithium (medication)Aerospace engineeringEnvironmental scienceJupiter (rocket family)ElectrolyteSaturnEnergy storageBattery (electricity)Materials scienceAstrobiologyPropulsionNuclear engineeringSpecific energyEngineering physicsPlanetSpace explorationPhysicsEngineering

Abstract

fetched live from OpenAlex

NASA continues to have an interest in developing robust, high specific energy, rechargeable batteries that can operate well at low temperatures. Improvements in battery specific energy translates into reduced launch costs and/or enhanced mission capability. Improved low temperature performance results in reduced thermal management complexity and reduced allocation of energy to heaters. There is current interest in exploring some of the distant icy moons of Jupiter and Saturn, since these bodies are believed to have liquid oceans beneath the icy surface that may harbor life. In particular, NASA is considering surface missions to Europa, which would benefit from improved high specific energy, low temperature batteries. To address these mission needs, the Electrochemical Technologies Group (ETG) at the Jet Propulsion Laboratory (JPL) is engaged in developing ultra-low temperature rechargeable batteries with high specific energy and enhanced low temperature capability for icy moon surface missions. 1 The performance goals of this program include operation over the temperature range of +40 o C to -60 o C (delivering up to 100 Wh/kg at -40 o C and 75 Wh/kg at -60 o C). In addition, continuous operation at low temperatures is desired, so the cells should possess good charge characteristics without undesirable lithium plating. E-One Moli Energy Ltd.’s commercially available 18650-size lithium-ion cells have been identified to be especially attractive, due to their high specific energy (>200 Wh/kg at ambient temperatures) and reasonably wide temperature range of operation. 1 Given the desire for enhanced performance at low temperatures, E-One Moli has fabricated advanced prototype cells containing JPL-developed low temperature electrolytes. These electrolytes have been developed under previous programs and included all-carbonate-based low EC-content electrolytes formulations, as well as methyl propionate (MP)-based electrolytes with various additives. 2-5 To assess the performance of these cells, we have performed discharge rate characterization over a wide temperature range (down to -70 o C). In addition, we have evaluated the cells during long term cycling continuously at very low temperatures, especially at -40 o C. These results have been compared to baseline commercial off the shelf (COTS) cells.In an attempt to characterize the likelihood of lithium plating when charging at low temperatures, the charge current and charge voltage has been systematically studied. Impedance measurements have also been performed as a function of temperature in an attempt to more fully understand the impact of electrolyte type upon the low temperature performance. ACKNOWLEDGEMENT The work described here was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration (NASA) and supported by the NASA Game Changing Development Program. REFERENCES 1. F. C. Krause, A. Lawrence, M. C. Smart, S. F. Dawson, A. Ulloa-Severino, and B. V. Ratnakumar, “Evaluation of Commercial High Energy Lithium-Ion Cells for Aerospace Applications”, 227 th Meeting of the Electrochemical Society, Chicago, Illinois, May 25-29, 2015 (Abstract #47580). 2. M. C. Smart, B. V. Ratnakumar, K. B. Chin, and L. D. Whitcanack, J. Electrochem. Soc. , 157(12) , A1361-A1374 (2010). 3. M. C. Smart, B. V. Ratnakumar, F. C. Krause, L. D. Whitcanack, E. A. Dewell, S. F. Dawson, R. B. Shaw, S. Santee, F. J. Puglia, A. Buonanno, C. Deroy, and R. Gitzendanner, NASA Aerospace Battery Workshop, Huntsville, Alabama, November 17-19, 2015. 4. M. C. Smart, B. V. Ratnakumar, M. R. Tomcsi, M. Nagata, V. Visco, and H. Tsukamoto, 2010 Power Sources Conference, Las Vegas, NV, June 16, 2010, Pages 191-194. 5. (a) M. C. Smart, B.V. Ratnakumar, A. S. Gozdz, and S. Mani, 214 th Meeting of the Electrochemical Society, Honolulu, HI, Oct. 12-17, 2008. (b) M. C. Smart, A. S. Gozdz, L. D. Whitcanack, and B. V. Ratnakumar, 220 th Meeting of the Electrochemical Society, Boston, MA, October 11, 2011.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.036
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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 teacher head, 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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Citations1
Published2016
Admission routes1
Has abstractyes

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