{
  "test_id": "CLO_B4C30_CYCLING",
  "cell_id": "CLO_B4C30",
  "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": 616,
  "soh_pct": null,
  "soh_method": null,
  "cycle_count_at_test": 0,
  "test_year": 2018,
  "n_samples": 610835,
  "duration_s": 1896352.7234000014,
  "voltage_observed_min_V": 1.9966321,
  "voltage_observed_max_V": 3.603642,
  "current_observed_min_A": -4.001122363636363,
  "current_observed_max_A": 6.010749090909091,
  "temperature_observed_min_C": 29.976402,
  "temperature_observed_max_C": 34.243400440442656,
  "sample_dt_min_s": 0.0,
  "sample_dt_median_s": 5.000799999921583,
  "sample_dt_max_s": 1804992.8233,
  "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/"
}