Tabular Regression
Keras
Joblib
English
battery
state-of-health
partial-discharge
regression
external-validation
data-leakage
Instructions to use NeerajCodz/aiBatteryLifeCycle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NeerajCodz/aiBatteryLifeCycle with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://NeerajCodz/aiBatteryLifeCycle") - Notebooks
- Google Colab
- Kaggle
File size: 2,147 Bytes
edbcf4d | 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 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | {
"version": "3.0.0",
"generated_by": "scripts/prepare_model_release.py",
"target": "current-cycle SOH; full-cycle capacity is label-only",
"input_window": "4.0-3.6 V partial discharge",
"datasets": [
{
"dataset": "NASA",
"rated_capacity_ah": 2.0,
"retained_batteries": 30,
"retained_cycles": 2141,
"excluded_records": 740,
"soh_min": 56.97473712535923,
"soh_median": 90.2210217416506,
"soh_max": 116.59858658068372
},
{
"dataset": "Calce",
"rated_capacity_ah": 1.1,
"retained_batteries": 4,
"retained_cycles": 3789,
"excluded_records": 0,
"soh_min": 26.37758176914103,
"soh_median": 83.56385624056828,
"soh_max": 100.11619883630505
},
{
"dataset": "Oxford",
"rated_capacity_ah": 0.74,
"retained_batteries": 8,
"retained_cycles": 519,
"excluded_records": 0,
"soh_min": 62.79936232780332,
"soh_median": 87.48001796412875,
"soh_max": 101.2403292669188
}
],
"source_checksums_sha256": [
"84d88cb98a43c02049f16c78806a78ec19084776ea5df8a4b7c2f8f7ba4589e5 calce/CS2_35.zip",
"2e674f58bb6dc005c73bef10e87edbbd97afd041dde77a1d461a3c4ecac1b027 calce/CS2_36.zip",
"8ed8aecbcbea2bcb17f455923a974be01ea21d7389210e1912d177de5b6af4a5 calce/CS2_37.zip",
"98787427c10478425efd4f54d823805724daff1d2fcbd822b3a2d7006a1051d8 calce/CS2_38.zip",
"82302a7db4fc1b34e0b6676326610438d43b816bdf11a69d1d012a464ef2f92e nasa/5_Battery_Data_Set.zip",
"a8f0b928f4ea77d7ba98b97194b78cc77336f2338fee8b57573d043f0cf26781 oxford/Oxford_Battery_Degradation_Dataset_1.mat"
],
"feature_set": [
"cycle_index",
"prior_equivalent_full_cycles",
"ambient_temperature",
"segment_duration_s",
"segment_energy_wh",
"voltage_start_v",
"voltage_end_v",
"voltage_mean_v",
"voltage_std_v",
"voltage_linear_slope_v_per_s",
"voltage_curvature",
"current_mean_c_rate",
"current_std_c_rate",
"temperature_mean_c",
"temperature_std_c",
"temperature_rise_c",
"temperature_slope_c_per_s",
"temperature_observed"
]
} |