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Record W4391639871 · doi:10.1149/ma2023-022230mtgabs

Pushing the Energy-Lifetime Frontier of Li-Ion Batteries with Optimized Ni-Rich, Co-Free NMA-W Cathodes

2023· article· en· W4391639871 on OpenAlexaff
Ines Hamam, Roee Omessi, J. R. Dahn

Bibliographic record

VenueECS Meeting Abstracts · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCathodeFrontierIonMaterials scienceEnergy (signal processing)Engineering physicsChemistryElectrical engineeringEngineeringPhysicsGeographyOrganic chemistry

Abstract

fetched live from OpenAlex

Especially in the electric vehicle industry where both high energy density and long lifetime batteries are sought, Ni-based cathode materials such as LiNi1−x−yMnxCoyO2 (NMC) and LiNi1−x−yCoxAlyO2 (NCA) provide a fitting compromise in capacity and cyclability. In recent years, the high cost of cobalt in addition to the problematic geopolitics surrounding cobalt mining have motivated research efforts toward cobalt-free cathode materials.1 However, Ni-rich materials are subject to inevitable failure mechanisms such as microcracking and parasitic reactions with the electrolyte which are further aggravated with an increase in Ni-content and in the absence of Co.2 Many strategies have been proposed to overcome these challenges such as doping and/or coating the cathode particles,3 but there remains a need to further increase energy density with minimal compromise to lifetime. In this work we present a cathode active material system designed to push Ni-rich and Co-free materials to the limit of their performance. This is done by choosing optimal polycrystalline particle size, a balance of Mn and Al content, and a sufficient amount of high-valence doping. Additionally, appropriate synthesis conditions are needed to obtain the desired morphology and infuse the intergranular boundaries with the W dopant. It is then important to choose an appropriate upper cutoff voltage during cycling to maximize energy while avoiding drastic crystal changes.4 This optimized NMA-W material system delivers specific capacity above 200 mAh/g while retaining 95% of its capacity without relying on any amount of Co. The series of NMA-W materials presented in this work were characterized and tested. Scanning electron microscopy (SEM) images were used to observe morphology and crystallite growth after synthesis. X-ray diffraction (XRD) analysis was conducted to monitor the crystal parameters and accelerated rate calorimetry (ARC) was used to assess the thermal stability and safety of the material. Compression tests were also conducted to study the strength of the particles and their propensity to crack under stress. Choi, J. U., Voronina, N., Sun, Y. K. & Myung, S. T. Recent Progress and Perspective of Advanced High-Energy Co-Less Ni-Rich Cathodes for Li-Ion Batteries: Yesterday, Today, and Tomorrow. Adv. Energy Mater. 10, 1–31 (2020). Li, H. et al. An Unavoidable Challenge for Ni-Rich Positive Electrode Materials for Lithium-Ion Batteries. (2019) doi:10.1021/acs.chemmater.9b02372. Yan, W., Yang, S., Huang, Y., Yang, Y. & Guohui Yuan. A review on doping/coating of nickel-rich cathode materials for lithium-ion batteries. J. Alloys Compd. 819, 153048 (2020). Nam, G. W. et al. Capacity Fading of Ni-Rich NCA Cathodes: Effect of Microcracking Extent. ACS Energy Lett. 4, 2995–3001 (2019).

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)0.000
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 score0.005

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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