{
  "test_id": "CLO_B4C16_CYCLING",
  "cell_id": "CLO_B4C16",
  "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): 7-4.8-4.8-3.652. 4C CC-CV discharge. Cycled toward 80% capacity retention (EOL); some cells do not reach EOL within the campaign window.",
  "num_cycles": 910,
  "soh_pct": null,
  "soh_method": null,
  "cycle_count_at_test": 0,
  "test_year": 2018,
  "n_samples": 745666,
  "duration_s": 2484103.8942999966,
  "voltage_observed_min_V": 1.9960961,
  "voltage_observed_max_V": 3.6012864,
  "current_observed_min_A": -4.001394636363636,
  "current_observed_max_A": 7.011753454545454,
  "temperature_observed_min_C": 30.2440885009929,
  "temperature_observed_max_C": 39.433645866533865,
  "sample_dt_min_s": 0.0,
  "sample_dt_median_s": 5.0032000000355765,
  "sample_dt_max_s": 2408187.9962000004,
  "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/"
}