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Record W2302588183 · doi:10.1149/ma2015-02/5/385

Phenyl Carbonates As Low Cost and Competitive Additive for Li-Ion Batteries

2015· article· en· W2302588183 on OpenAlexaff
Rémi Petibon, Lina M. Rotermund, J. R. Dahn

Bibliographic record

VenueECS Meeting Abstracts · 2015
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsElectrolyteDielectric spectroscopyCarbonateElectrochemistryGraphiteDimethyl carbonateMaterials scienceChemical engineeringChemistryCatalysisElectrodeOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Introduction Li-ion batteries are used in a wide range of applications, ranging from consumer electronics to electric vehicles. However these batteries suffer from limited lifetime and high cost. The development of long-lived batteries often necessitates the use of elaborate additives that can further increase their manufacturing cost. In this report, we demonstrate that phenyl carbonates can be very competitive additives and can even perform as well as vinylene carbonate (VC). This class of additives can be very inexpensive and can bring many advantages. Experimental The effect of phenyl carbonates including methyl carbonate (MPC), ethyl carbonate (EPC), and diphenyl carbonate (DPC) as additives was studied in machine-made 220 mAh graphite/Li[Ni 1/3 Mn 1/3 Co 1/3 ]O 2 pouch cells using a wide range of techniques. These techniques included ultra-high precision coulometry, 1,2 open circuit voltage storage, 3 electrochemical impedance spectroscopy (EIS), EIS on symmetric cells, 4 gas chromatography coupled with mass spectrometry for the measurement of additive consumption 5,6 as well as gas composition and liquid reaction by-products. 7,8 Results and discussion Figure 1 shows the compounds detected in the gas formed after the first charge to 3.5 V of NMC(111)/graphite pouch cells filled with 1M LiPF 6 EC:EMC (3:7) base electrolyte containing no additive, containing 1% MPC or 1% DPC. The compounds detected for cells containing no additive can be rationalized with the multiple reduction pathways EC and EMC undertake. 7 Figure 1 shows that small loadings of phenyl carbonates yield very similar gas composition as cells without additives. Figure 1 also shows that cells containing MPC and DPC produced a small quantity of benzene. At the same time, cells containing MPC seemed to produce more CH 4 than cells filled with control electrolyte, while cells containing DPC produced less CH 4 than cells filled with control electrolyte. The presence of benzene, the variation of CH 4 and CO 2 indicate that the phenyl carbonates get reduced at the graphite surface to some extent. In addition, the transesterification of EMC, to DMC and DEC, that occurs during formation in cells with control electrolyte is completely eliminated when 1% MPC or 1%DPC is added to the electrolyte just as it is when 1% VC is added. Figure 2 shows the results of 40°C, 4.2 V open circuit voltage storage experiments of NMC(111)/graphite pouch cells containing no additive (control), 2% VC, different loadings of MPC or 2% VC + 2% MPC. Figure 2a shows that all cells containing either VC or MPC had a much lower voltage drop during storage than cells without any additive. This is strong evidence that both MPC and VC slow the parasitic reactions at the positive electrode. 3 The similarity in voltage drop between cells with VC or phenyl carbonates also indicates that phenyl carbonates are competitive with VC in terms of parasitic reaction reduction at the positive electrode. Figure 2b shows the impedance spectra, measured at 10°C and 3.8 V, of the same cells after 1000 h of storage at 4.2 V and 40°C. Figure 2c shows that small loadings of phenyl carbonates give rise to cells with very small impedance compared to VC. Conclusion Phenyl carbonates are very promising additives. While they slow down parasitic reactions at the negative electrode 7 and at the positive electrode (Figure 2a and 2b) as much as VC, they give rise to cells with very small impedance. Diphenyl carbonate is a very inexpensive chemical whose bulk price is less than half of that of VC. The use of phenyl carbonates as additives can then help yield Li-ion cells with long lifetime, good power performance and reduced manufacturing cost. The detailed reduction mechanism of this class of additive will be discussed as well as their effect on the impedance of the positive electrode and negative electrode. Reference 1. A. J. Smith, J. C. Burns, D. Xiong, and J. R. Dahn, J. Electrochem. Soc. , 158 , A1136–A1142 (2011). 2. A. J. Smith, J. C. Burns, S. Trussler, and J. R. Dahn, J. Electrochem. Soc. , 157 , A196–A202 (2010). 3. N. N. Sinha et al., J. Electrochem. Soc. , 158 , A1194–A1201 (2011). 4. R. Petibon et al., J. Electrochem. Soc. , 160 , A117–A124 (2013). 5. R. Petibon, J. Xia, J. C. Burns, and J. R. Dahn, J. Electrochem. Soc. , 161 , A1618–A1624 (2014). 6. R. Petibon et al., J. Electrochem. Soc. , 161 , A1167–A1172 (2014). 7. R. Petibon, L. M. Rotermund, and J. R. Dahn, J. Power Sources, 287 , 184-195 (2015) 8. J. Self, C. P. Aiken, R. Petibon, and J. R. Dahn, J. Electrochem. Soc. , 162 , A796–A802 (2015). Figure 1

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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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.574

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 head0.019
GPT teacher head0.257
Teacher spread0.238 · 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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Citations0
Published2015
Admission routes1
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