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Record W3116981973 · doi:10.1149/ma2020-02132mtgabs

(Invited) The Life and Death of Anode-Free Lithium Metal Cells

2020· article· en· W3116981973 on OpenAlexaff
A. J. Louli, Ahmed Eldesoky, Rochelle Weber, Matthew Genovese, Matt Coon, Jack deGooyer, Zhe Deng, Robin White, Jaehan Lee, Thomass Rodgers, J. R. Dahn

Bibliographic record

VenueECS Meeting Abstracts · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAnodeLithium (medication)ElectrolyteMaterials scienceLithium carbonateLithium metalChemical engineeringNanotechnologyChemistryIonElectrodeOrganic chemistry

Abstract

fetched live from OpenAlex

Anode-free lithium metal cells store 60% more energy per volume than conventional lithium ion cells. Such high energy density cells will enable electric vehicles with increased range and decreased cost. The anode-free strategy of using zero excess lithium presents a number of advantages and challenges over conventional lithium metal cells. Anode-free cells exhibit ultra-high stack energy density >1200 Wh/L for the NMC532 and 811 cells investigated in this work. Lithium metal cells, on the other hand, with lithium foils thicker than 60 µm are actually less energy dense than lithium ion cells. Challenges associated with manufacturing thin lithium foils and their incorporation in cell production are avoided in anode-free cells. Safety is a concern for any cell with metallic lithium, although this often remains unaddressed in the literature. However, with no excess lithium, anode-free cells suffer from rapid capacity loss. Lifetimes of fewer than 40 cycles to 80% capacity are common. Increasing cycle life to hundreds of cycles is necessary to produce viable anode-free cells for electric vehicles. Recently, we demonstrated state-of-the-art cycle life for anode-free cells utilizing a dual-salt carbonate-based electrolyte.1 This liquid electrolyte enabled a pristine lithium morphology of tightly packed lithium grains forming a smooth lithium mosaic, shown in Fig. 1a-b. In this present work, we probe the lithium morphology at different states of charge and conclude that this morphology is composed of lithium columns (Fig. 1c-e). Incredibly, the columnar lithium enabled by dual-salt electrolyte forms a matrix of dead lithium which facilitates reversible lithium deposition. Unfortunately, this pristine morphology is not maintained. In this work, we characterize the degradation of anode-free cells with dual-salt electrolyte. We probe the deterioration of lithium morphology during aging with SEM and correlate this to electrolyte degradation. We observe increased lithium porosity via x-ray tomography and use acoustic transmission imaging to demonstrate electrolyte depletion. For safety characterization, we measure the temperature of cells during penetration with a nail and compare to cells made with other electrolytes promoted in the literature. Finally, we use the insights gained here to build anode-free cells that deliver a greater energy density than lithium ion cells for over 200 cycles. Although lifetime must still be increased, we believe anode-free lithium metal cells with liquid electrolyte present the most straightforward and lowest cost path towards viable high energy density lithium batteries. Reference s : [1] Rochelle Weber, Matthew Genovese, A. J. Louli, Samuel Hames, Cameron Martin, Ian G. Hill and J. R. Dahn, Nat. Energy, 4 (2019) 683-689. 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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0350.026

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 head0.026
GPT teacher head0.242
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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