Datasets:
File size: 1,521 Bytes
5b9539c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | {
"test_id": "CLO_B4C2_CYCLING",
"cell_id": "CLO_B4C2",
"test_type": "cycle_aging",
"temperature_C_min": 30.0,
"temperature_C_max": 30.0,
"soc_range_min": null,
"soc_range_max": null,
"soc_step": null,
"c_rate_charge": null,
"c_rate_discharge": 4.0,
"protocol_description": "Closed-loop Bayesian-optimized fast-charge aging at 30 degC. Charge policy (BO-selected): 3.6-6-5.6-4.755. 4C CC-CV discharge. Cycled toward 80% capacity retention (EOL); some cells do not reach EOL within the campaign window.",
"num_cycles": 743,
"soh_pct": null,
"soh_method": null,
"cycle_count_at_test": 0,
"test_year": 2018,
"n_samples": 600601,
"duration_s": 1897484.4767000019,
"voltage_observed_min_V": 1.9959044,
"voltage_observed_max_V": 3.6020846,
"current_observed_min_A": -4.010972090909091,
"current_observed_max_A": 6.0993333636363625,
"temperature_observed_min_C": 30.465247463787488,
"temperature_observed_max_C": 44.709492,
"sample_dt_min_s": 0.0,
"sample_dt_median_s": 5.001599999843165,
"sample_dt_max_s": 1805072.4484,
"source_doi": "10.1038/s41586-020-1994-5",
"source_url": "https://data.matr.io/1/projects/5d80e633f405260001c0b60a",
"source_citation": "Attia, P. M., Grover, A., Jin, N., et al. (2020). Closed-loop optimization of fast-charging protocols for batteries with machine learning. Nature 578, 397-402. https://doi.org/10.1038/s41586-020-1994-5",
"source_license": "CC-BY-4.0",
"source_license_url": "https://creativecommons.org/licenses/by/4.0/"
} |