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Record W4285398256 · doi:10.1149/ma2022-011127mtgabs

Exploring the Interplay between Composite Cathode Design and Cell Performance for Solid-State Lithium Batteries

2022· article· en· W4285398256 on OpenAlexaff
Hilal Al-Salih, Mohamed Houache, Elena A. Baranova, Yaser Abu‐Lebdeh

Bibliographic record

VenueECS Meeting Abstracts · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsNational Research Council CanadaUniversity of Ottawa
Fundersnot available
KeywordsCathodeElectrolyteMaterials scienceBattery (electricity)ElectrodeEnergy storageComposite numberQuasi-solidFast ion conductorGravimetric analysisNanotechnologyEngineering physicsOptoelectronicsElectrical engineeringComposite materialChemistryEngineeringPower (physics)

Abstract

fetched live from OpenAlex

To accelerate the mass market adaptation of electric vehicles (EVs), raising the gravimetric energy density of batteries to > 250 Wh/kg while maintaining a cost target of < $ 120/kWh is of critical importance (the ultimate targets of the U.S. Department and the advanced battery consortium).[1] Solid-state batteries are widely recognized as excellent prospects for application in the next generation of EVs and other energy storage devices, with the promise to realize higher energy densities, superior safety and environmentally friendly characteristics. At the cell level, the development of SSBs has been hampered by challenges with the interface originating from the poor interfacial stability between the solid-state electrolytes (SSE) and the electrodes. By eliminating the liquid electrolyte, conductive pathways throughout the whole thickness of the positive electrode and at the solid-solid interface become less efficient causing large polarization and diminished cell performance. This can be exacerbated by the current urge to use thicker electrodes in an attempt to increase the energy density which is a common practice in the currently widely adapted lithium ion batteries employing liquid electrolytes. Notably, increasing cathode thickness beyond a certain limit leads to a point of diminishing returns in terms of energy density. This is mainly attributed to the dominating effect of porosity at higher cathode thickness.[2,3] For instance, it has been found that cells with NMC cathodes thinner than 155 μm (< 6.5 mAh cm-2) showed excellent cycling stability and no capacity losses for C-rates up to 0.5C.[4] To address this challenge, one approach is to formulate the cathode (positive electrode) using a small fraction of ionic conductors (Catholyte) that are mostly derived from the solid electrolyte formulation. In addition, this approach could be complemented with the application of a 10 μm intermediate SSE coating at the cathode surface. The use of catholytes has a second advantage of replacing the non-green polymer polyvinylidene fluoride (PVDF) which is currently the most commonly used binder. Having fluorine in its structure, PVDF is non-recyclable and a potential source of environmentally harmful fluorocarbons.[5] We have begun studying the interfacial stability between composite cathodes using LiFePO4 (LFP), a safe, environmentally-friendly, 3.4 V cathode material, and different SSEs including ceramic electrolytes, polymer electrolytes and polymer-ceramic composite electrolytes. In this work, an optimally designed DOE was planned to study the impact of varying active material mass loading in composite cathodes, and the significance of intermediate coating on SSB electrochemical performance. The SSE used is a plasticized polymer electrolyte with the following optimized formula: 77 % PEO, 13% LiTFSI and 10% Succinonitrile (SN) while the composite cathode was composed of 86% LFP, 4% C65 conductive carbon and 10% of the aforementioned SSE as the catholyte. The active material mass loading was varied between 1 – 12 mg cm-2 in 1 mg cm-2 increments and all composite cathodes were tested with and without the intermediate coating layer. This powerful and contemporary statistical approach aims to provide an enhanced design strategy for a popular and very promising SSB chemistry (Li/PEO/LFP). Finally, our findings shed light on a new approach that can be adopted to explore other battery chemistry with higher voltages such as oxide cathodes, non-oxide solid or semi-solid electrolytes. References: [1] R. Schmuch, R. Wagner, G. Hörpel, T. Placke, M. Winter, Nat. Energy 2018 34 2018, 3, 267. [2] Z. Du, D. L. Wood, C. Daniel, S. Kalnaus, J. Li, J. Appl. Electrochem. 2017, 47, 405. [3] M. Wood, J. Li, Z. Du, C. Daniel, A. R. Dunlop, B. J. Polzin, A. N. Jansen, G. K. Krumdick, D. L. Wood, J. Power Sources 2021, 515, 230429. [4] M. Singh, J. Kaiser, H. Hahn, J. Electroanal. Chem. 2016, 782, 245. [5] O. Rynne, M. Dubarry, C. Molson, E. Nicolas, D. Lepage, A. Prébé, D. Aymé-Perrot, D. Rochefort, M. Dollé, ACS Appl. Energy Mater. 2020, 3, 2935. 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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.039
GPT teacher head0.249
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 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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Citations0
Published2022
Admission routes1
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