(Invited) High-Energy Lithium-Ion Battery Using Substituted LiCoPO<sub>4</sub>: From Coin Type<sub> </sub>to 1Ah Cell
Bibliographic record
Abstract
There is a constant drive to improve the specific energy and energy density of the state-of-the-art lithium-ion battery. High energy is achieved by either choosing a cathode material that operates at a higher potential or has a higher specific capacity. Compared with conventional 4-V cathodes such as LiCoO2 (LCO), LiNi x Co y Al z O2 (NCA), LiMn2O4 (LMO) and 3.5-V LiFePO4 (LFP), LiCoPO4 (LCP) operates at 4.8 V (vs. Li/Li+) with a theoretic capacity of 167 mAh g-1. The higher voltage of LCP results in specific energy of ~800 Wh kg-1, which is about 25% higher than that of conventional cathodes in lithium-ion batteries. Although Co is more expensive than the other transition metals, the energy cost of LCP is expected to be less than other commercialized lithium-ion batteries on the market [1] due to the improved energy density. LCP suffers from severe capacity fade due to the low intrinsic electronic/ionic conductivity, structural deterioration and electrolyte decomposition [2, 3]. A diverse range of synthesis strategies, such as planetary milling, microwave heating and spray-pyrolysis et al, were explored to yield smaller particles and/or composites, but the above-mentioned shortcomings and the electrochemical performance remain unsatisfied [4-6]. Deposition of carbon coatings or precipitation of Co2P under high-temperature annealing in inert atmosphere produced a significant increase of over 105 in the electrical conductivity of LCP [7]. In addition, electrolyte additives were also employed to improve the attractiveness of LCP [8, 9]. These two approaches, however, do little to stabilize the cathode material itself, or only protect the electrolyte from decomposition during cycling. In this work, substitution of Cr, Fe and Si, as well as the use of a carbon-coating, improved the performance of LiCoPO4. The structural analyses and electrochemical properties are discussed. Cr, Fe and Si were added to improve the performance of olivine LiCoPO4 in cathodes for lithium-ion batteries. A substituted-LiCoPO4 in a half cell delivered a reversible capacity of 125 mAh/g at C/3 rate, with no capacity loss after over 100 cycles at 25 °C. The well-known capacity fade of LiCoPO4-based cathodes was almost completely eliminated by substituting Cr, Fe and Si. The electrochemical data of coin type battery and 1 Ah laminate cell will be shown. Acknowledgments Financial support from Hydro-Quebec and the US Army Research Lab is gratefully acknowledged.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".