/battery_aging

NASA Li-ion Battery Aging Datasets

Primary LanguageJupyter Notebook

NASA Li-ion Battery Aging Datasets

Dataset here

NOTE:
datasets can be transformed, once a time, to pd.DataFrame using to_df function coded in mat_2_DataFrame.ipynb

Features:

  • type: operation type, can be charge, discharge or impedance
  • ambient_temperature: ambient temperature (degree C)
  • time: the date and time of the start of the cycle, in MATLAB date vector format
  • for charge the fields are:
    1. Voltage_measured: Battery terminal voltage (Volts)
    2. Current_measured: Battery output current (Amps)
    3. Temperature_measured: Battery temperature (degree C)
    4. Current_charge: Current measured at charger (Amps)
    5. Voltage_charge: Voltage measured at charger (Volts)
    6. Time: Time vector for the cycle (secs)
  • for discharge the fields are:
    1. Voltage_measured: Battery terminal voltage (Volts)
    2. Current_measured: Battery output current (Amps)
    3. Temperature_measured: Battery temperature (degree C)
    4. Current_charge: Current measured at load (Amps)
    5. Voltage_charge: Voltage measured at load (Volts)
    6. Time: Time vector for the cycle (secs)
    7. Capacity: Battery capacity (Ahr) for discharge till 2.7V
  • for impedance the fields are:
    1. Sense_current: Current in sense branch (Amps)
    2. Battery_current: Current in battery branch (Amps)
    3. Current_ratio: Ratio of the above currents
    4. Battery_impedance: Battery impedance (Ohms) computed from raw data
    5. Rectified_impedance: Calibrated and smoothed battery impedance (Ohms)
    6. Re: Estimated electrolyte resistance (Ohms)
    7. Rct: Estimated charge transfer resistance (Ohms)