Li[Ni<sub>0.5</sub>Mn<sub>0.3</sub>Co<sub>0.2</sub>]O<sub>2</sub> As a Superior Alternative to LiFePO<sub>4</sub> for Long-Lived Low Voltage Li-Ion Cells
Bibliographic record
Abstract
Over the last decade, portable electronics and electric vehicle manufacturers have demanded Li-ion batteries with increasing energy density and lower costs, to satisfy the goals of smaller, more affordable devices and greater run time. Other applications require Li-ion batteries with increased priority on cycle and calendar-life. These include vehicle-to-grid storage, stationary energy storage and battery leasing. Li[Ni0.5Mn0.3Co0.2]O2//graphite (NMC532) pouch cells with only sufficient graphite for operation to 3.80 V (rather than ≥ 4.2 V) are presented as a low-voltage cell type for applications that require massive cycle and calendar-life. Charge-discharge cycling, ultra-high precision coulometry and impedance spectroscopy are used to characterize these cells and form a comparison with LiFePO4//graphite (LFP) pouch cells. The low-voltage NMC532 cells are shown to be superior in both capacity retention and energy density to the LFP cells. Lifetime predictions are made as a function of temperature and charging voltage, with room temperature operation beyond 100 years suggested in certain cases.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".