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Record W2512182327 · doi:10.1149/ma2016-02/3/320

Variation of Coulombic Efficiency Versus Upper Cutoff Potential of Li-Ion Cells with Different Electrolyte Solvents

2016· article· en· W2512182327 on OpenAlexaff
Jian Xia, Stephen Glazier, J. R. Dahn

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsDalhousie University
Fundersnot available
KeywordsElectrolyteEthylene carbonateDiethyl carbonateFaraday efficiencyDimethyl carbonateEthylene oxideChemistryElectrodeMaterials scienceAnalytical Chemistry (journal)Chemical engineeringChromatographyOrganic chemistryMethanol

Abstract

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Introduction One of the easiest ways to increase the energy density of Li-ion cells is to increase the operating voltage range. However, the instability of state-of-the-art electrolyte towards high voltage is a great challenge [1, 2]. Electrolyte oxidation reactions can cause gas generation and impedance growth, result in swelling, capacity loss and cell failure. Accurate measurements of the coulombic efficiency (CE) of Li-ion cells are valuable to characterize these parasitic reaction rates occurring between the electrodes and the electrolyte. In this presentation, the impact of the various solvent blends on CE, charge endpoint capacity slippage, cell impedance and gas evolution during ultra high precision coulometry (UHPC) cycling tests were measured at 4.2, 4.4 and 4.5 V. Careful analysis of CE was made to determine the effect of different electrolyte solvents separately on the positive electrode and negative electrode as the upper cut-off voltage increases. Symmetric cells were made to distinguish the effect of the electrolyte solvents on the impedance at the positive or negative electrode. Experimental The pouch cells employed in this study were LaPO4-coated Li[Ni0.4Mn0.4Co0.2]O2 (NMC442)/graphite cells with a capacity of 180 mAh balanced for 4.7 V operation. Three electrolyte systems including 2 wt.% PES + 1 wt.% DTD + 1 wt.% TTSPi (PES 211) in 1M LiPF6 ethylene carbonate (EC):ethyl methyl carbonate (EMC) 3:7, 2 wt.% PES in 1M LiPF6 fluoroethylene carbonate (FEC) and bis(2,2,2-trifluoroethyl) carbonate (TFEC) 1:1 and 2 wt.%VC + 2 wt.% TAP in 1M LiPF6 sulfolane (SL):EMC 3:7 were chosen for this study. The cells then underwent a formation protocol during which they were opened and re-vacuum sealed at 3.5 V and 4.5 V to remove any gas generated during the first charge. After formation, cells were moved to Ultra High Precision Charger (UHPC) and cycled 15 times using “barn-charge” protocols [3]. After UHPC cycling, these cells were opened in the glovebox where symmetric cells were made. The detailed procedure for making symmetric cells has been described by Petibon et al.[4]. Some cells were studied using battery isothermal calorimetry as outlined by Downie et al. [5] Results and discussion Figure 1a shows the fractional charge endpoint capacity slippage per hour and the fractional capacity fade per hour plotted versus upper cutoff potential for cells containing EC:EMC, FEC:TFEC as well as SL:EMC electrolytes. Figure 1a allows one to determine which parasitic reactions, electrolyte oxidation at the positive electrode or Li consumption in the SEI at the negative electrode, play the dominant role in reducing the coulombic efficiency (CE) or increasing 1-CE when the upper cutoff potential increases [3]. Figure 1a shows that the fractional slippage per hour (positive electrode) increases dramatically when the upper cut-off potential increases from 4.2 V to 4.5 V, while, by contrast, the fractional fade per cycle (negative electrode) does not change dramatically with potential. Figure 1a shows the FEC:TFEC electrolyte has smaller slippage but higher capacity fade rate compared to SL:EMC or EC:EMC electrolyte at high voltages. This means the FEC:TFEC electrolyte partially fixes the positive side (small fractional slippage per hour) but has problems at the negative electrode side (larger fractional fade per hour). Figures 1b, 1c and 1d show the area-specific Nyquist plots of negative and positive electrode symmetric cells as well as full coin cells constructed from electrodes after UHPC cycling tests. Figures 1b to 1d show that cells containing FEC:TFEC electrolyte have much smaller positive impedance but higher negative electrode impedance, compared to cells containing SL:EMC and EC:EMC electrolytes after UHPC cycling. Figures 1b to 1d further prove that the benefit of using FEC:TFEC electrolyte is mainly on the positive side by hindering the electrolyte oxidation at the positive electrode/electrolyte interface. Microcalorimetry results which support this interpretation will also be shown. References L. Ma, J. Xia and J. R. Dahn, J. Electrochem. Soc., 161, A2250 (2014). K.J. Nelson, J. Xia and J.R. Dahn, J. Electrochem. Soc., 161, A1884 (2014). J. Xia, M. Nie, L. Ma and J. R. Dahn, J. Power Sources, 306, (2016) 233. R. Petibon, C. P. Aiken, N. N. Sinha, J. C. Burns, H. Ye, C. M. VanElzen, G. Jain, S. Trussler, and J. R. Dahn J. Electrochem. Soc., 160, A117 (2013). L.E. Downie and J. R. Dahn, J. Electrochem. Soc. 161, A1782 (2014). Figure captions Figure 1 a) Fractional charge endpoint capacity per hour and fractional fade per hour plotted versus the upper cutoff potential for the NMC442/graphite pouch cells with different electrolytes. The area-specific Nyquist plot of b) negative electrode symmetric cells, c) positive electrode symmetric cells and d) full coin cells made from the NMC442 pouch cells after the UHPC cycling to 4.5 V. Figure 1

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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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.213
Teacher spread0.206 · 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
Published2016
Admission routes1
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