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Record W2907136540 · doi:10.1149/ma2018-02/6/444

Interfacial Impedance Growth in Si-Alloy/Graphite Blended Electrodes

2018· article· en· W2907136540 on OpenAlexaff
Zilai Yan, Congxiao Wei, M. N. Obrovac

Bibliographic record

VenueECS Meeting Abstracts · 2018
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMaterials scienceElectrodeGraphiteAlloyElectrolyteDielectric spectroscopyLithium (medication)Cyclic voltammetryComposite materialElectrochemistryChemistry

Abstract

fetched live from OpenAlex

Active material blended electrodes are comprised of physical mixtures of two or more lithium insertion compounds. Blended electrodes can have superior balanced performance compared to electrodes with an individual active compound.1 For instance, Si and Si-based materials have been successfully blended into graphite electrodes in lithium-ion batteries.2,3 Si-alloy/graphite blended electrodes result in higher cell energy density than graphite electrodes and pure Si-alloy electrodes and also have higher capacity retention than pure Si-alloy electrodes.3 Some properties of active material blended electrodes are difficult to predict simply from the individual active materials, such as cell lifetime.4 Electrochemical impedance spectroscopy (EIS) provides diagnostic information concerning the state of health of electrodes and properties of the solid-electrolyte interphase (SEI).5 The electrode/electrolyte interfacial impedance growth of Si-alloy/graphite electrodes will be discussed here. Figure 1 (a-c) shows measured Nyquist plots of graphite, Si-alloy, and graphite/Si-alloy blended electrodes at different cycles. The interfacial resistance (Rir) is highest for the graphite and Si-alloy electrodes and is lowest for the graphite/Si blended alloy electrode. Changes in Rir for these electrodes are not monotonic and do not at first seem related. The trends in Rir as a function of cycle number for these electrodes are summarized in Figure 1 (d), where the Rir data were normalized with respect to the first cycle. After normalization relationships between the coatings appear. For all three electrodes, Rir increases from the 1st cycle to the 5th cycle and then decreases from cycle 5 to 10. After 10 cycles, Rir increases for graphite electrodes, while Si-alloy and the blended electrodes have a constant Rir. The relative Rir values of the graphite/Si-alloy blended electrodes have very similar behavior to the pure Si-alloy electrode. Therefore, it appears that the Si-alloy component is dominant with regard to the behavior of Rir. To verify this, the relative Rir at the 20th cycle of electrodes with various ratios of Si-alloy/graphite blended electrodes are shown in Figure 2. All blended electrodes have relative Rir values that are different from pure graphite, but have similar relative Rir values to pure Si-alloy electrodes, regardless of the graphite content. In this presentation, an explanation of this behavior in the interfacial resistance of graphite/alloy blended electrodes will be proposed. Reference S. B. Chikkannanavar, D. M. Bernardi, and L. Liu, J. Power Sources, 248, 91–100 (2014). R. Petibon et al., J. Electrochem. Soc., 163, A1146–A1156 (2016). V. L. Chevrier et al., J. Electrochem. Soc., 161, A783–A791 (2014). H. Kitao, T. Fujihara, K. Takeda, N. Nakanishi, and T. Nohma, Electrochem. Solid-State Lett., 8, A87 (2005). M. Galeotti, L. Cinà, C. Giammanco, S. Cordiner, and A. Di Carlo, Energy, 89, 678–686 (2015). Figure 1 Nyquist plots for (a) graphite, (b) Si-alloy, and (c) Si-alloy/graphite (60:28 wt/wt) blended electrodes measured at different cycles. (d) the relative interfaical resistance vs. cycle number of these three electrodes. Relative interfaical resistance values were measured as the diameter of the semicircles in the Nyquist plots, normalized on the basis of first cycle interfacial resistance. The error bars were calculated as the range of two samples. The cells were cycled at 30.0 ± 0.1 ºC and EIS spectra were measured at 10 ºC. Figure 2 The relative interfaical resistances of graphite/Si-alloy blended electrodes with various compositions, measured at 20th cycle. The error bars were calculated as the range of two samples.The cells were cycled at 30.0 ± 0.1 ºC and EIS spectra were measured at 10 ºC. 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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.227
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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Published2018
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