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Record W2352717648 · doi:10.1149/ma2016-03/2/892

The Effect of Shell Thickness, Sintering Temperature and Interdiffusion on the Electrochemical Properties of Lithium-Rich Core-Shell Cathodes

2016· article· en· W2352717648 on OpenAlexaff
Jing Li, Renny Doig, Hanshuo Liu, Gianluigi A. Botton, J. R. Dahn

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsMcMaster UniversityDalhousie University
Fundersnot available
KeywordsSinteringElectrolyteMaterials scienceElectrochemistryLithium (medication)Shell (structure)CathodeElectrodeTernary operationChemical engineeringDiffusionAnalytical Chemistry (journal)MetallurgyComposite materialChemistryPhysical chemistryThermodynamics

Abstract

fetched live from OpenAlex

Core-shell (CS) structured positive electrode materials based on layered Li-Ni-Mn-Co oxide could be the next generation of positive electrode materials for high energy density lithium-ion batteries. This is because a high energy core material with poor stability against the electrolyte can be protected by a thin layer of a stable shell material. In our previous report1–2, Li and Mn-rich materials were used as the protecting shell, and Ni-rich materials were used as the core. It was shown that the Mn-rich shell can effectively protect the Ni-rich core from reactions with the electrolyte while the Ni-rich core renders a high and stable average voltage.1 However, diffusion of the cations between the core and shell phases occurs during sintering 2. In this work, the effect of the initial shell thickness, sintering temperature and the interdiffusion in a ternary system on the electrochemical performance of CS cathodes was studied. CS precursors with (Ni0.6Mn0.2Co0.2)(OH)2 as the core and 10 mol% (CS10), 20 mol% (CS20) or 33 mol% (CS33) (Ni0.2Mn0.6Co0.2)(OH)2 shell were first synthesized. Lithiated samples were then prepared by sintering the precursor and LiOH with three different lithium contents (average Li/TM of 1.02, 1.04 and 1.06) for each shell content at 850 or 900oC for 10 h. The samples were labeled as CS10 (20, 33) - 850 (900) - 1 (2,3), which indicate the initial shell content, sintering temperature and lithium content, respectively. For example, CS20-900-3 indicates a sample with 20 mol.% shell, sintered at 900oC with a Li/TM ratio of 1.06. Figure 1 shows a SEM image and energy dispersive spectroscopy (EDS) mapping results of CS33-850-2. Figures 1c, 1d and 1e show that the Mn-rich shell was maintained, while the Ni and Co content at the surface is lower than that in the core (less bright) after sintering. Figures 1a and 1b clearly show that the core and shell have two different morphologies where the core was sintered to a polycrystalline monolith nearly free of interior voids (besides some big pores), whereas the shell was composed of spiky flakes with pores in between. This could be improved by adjusting the synthesis approach in the future. In order to further examine the interdiffusion phenomena in spherical CS particles, a focused ion-beam (FIB) was used to cut a thin slice (~100 nm) through the center of a randomly selected particle. Figure 2a shows a scanning transimission electron microscope (STEM) image of the prepared slice. The yellow line shows the path where EDS point analysis was performed. Figure 2b shows the measured concentration profiles with symbols, calculated profiles with solid lines and simulated initial concentration profiles with dashed lines respectively. Ni moved from the core to the shell and the Ni content on the surface changed from ~21% to ~30% during sintering, while Mn moved from the shell into the bulk, and the Mn content on the surface changed from ~57% to ~55%. Surprisingly, Co moved into the core from the shell, even though the initial Co content in the core and shell was the same, in order to compensate for the increase of Ni content in the surface. This is because the interdiffusion between Ni/Co is much faster than Ni/Mn as discussed in Ref. 2. This suggests that the present of Co in the shell can accelerate the diffusion of Ni from the core to the shell. Samples CS20-850-3 and CS33-900-3 were selected from 24 synthesized samples for testing in full cell coin cells with graphite as the counter electrode using two different electrolytes, in comparison to a commercial material (Umicore coated NMC622) designed for high voltages. The control electrolyte was 1M LiPF6in 3:7 v:v ethylene carbonate (EC): diethylcarbonate (DEC). PES211 electrolyte is the control electrolyte plus 2% prop-1-ene-1,3-sultone + 1% Methylene methane disulfonate + 1% tri(trimethylsilyl) phosphite (PES). The cells were tested between 2.8 and 4.6 V with a rate of C/5 followed by one cycle of C/20 in every 20 cycles. Figure 3 shows the capacity of the cells as a function of cycle number. It is seen that cells with PES 211 have slightly higher capacity than the control cells. Figure 3a shows that the cells have similar capacity retention with control electrolyte, while Figure 3b shows that CS20-850-3 has slightly better capacity retention (~90% after 100 cycles ) comparing to CS33-900-3 and coated NMC622, References (1) Li, J.; Camardese, J.; Shunmugasundaram, R.; Glazier, S.; Lu, Z.; Dahn, J. R. Chem. Mater. 2015, 27, 3366–3377. (2) Li, J.; Doig, R.; Camardese, J.; Plucknett, K.; Dahn, J. R.;Chem. Mater. 2015, 27 (22), 7765–7773. . Figure 1

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)0.001
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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
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 head0.010
GPT teacher head0.220
Teacher spread0.210 · 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
Has abstractyes

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