NASA Li-ion Battery Aging Experiments Under Multiple Operational Profiles

Data from NASA Ames Prognostics Center of Excellence testbed tracks Li-ion batteries through repeated charge, discharge, and impedance cycles at different temperatures until end-of-life. Measurements include Voltage_measured, Current_measured, Temperature_measured, and Capacity fade. Experiments induced accelerated aging by discharging below OEM-recommended voltage thresholds.

Use Cases

• Predict battery end-of-life by modeling Capacity fade over cycles using Voltage_measured and Temperature_measured time-series data.
• Analyze the impact of ambient_temperature and deep discharge cycles on battery aging effects.
• Develop prognostic algorithms using Electrochemical Impedance Spectroscopy data fields like Battery_impedance and Current_ratio.
• Train models to estimate remaining useful life from Voltage_measured and Current_measured profiles during discharge cycles.

Strengths

• Data collected from a controlled, custom-built testbed with programmable loads, power supplies, and environmental chamber.
• Includes three distinct operational profiles (charge, discharge, impedance) and measurements at a 10Hz acquisition rate.
• Experiments ran until a clear end-of-life criterion of 30% fade in rated capacity from 2 Ah to 1.4 Ah was reached.

Limitations

• Unknown sample size regarding the number of battery cells, cycles, or total rows of data.
• Data structure is nested and MATLAB-specific, which may complicate direct use in other analytical environments.
• Lack of explicit column list or sample data makes initial schema exploration difficult.

Provenance

Source

National Aeronautics and Space Administration, NASA Ames Prognostics Center of Excellence (PCoE)

Collection Method

Collected from a custom battery prognostics testbed using programmable DC loads, power supplies, voltmeters, ammeters, thermocouples, and custom EIS equipment within an environmental chamber.

Time Range

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Freshness

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Geography

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