| Alternative Title |
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Preprocessed Lithium-Ion Battery Cycling Dataset for Machine Learning Analysis
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Added by
Haddadin, Mariana Franses Shawkat
on Dec 11, 2025
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| Funding Institution |
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Southern Methodist University (SMU) – ASPEN Laboratory
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Added by
Haddadin, Mariana Franses Shawkat
on Dec 11, 2025
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No field content found
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| Audience |
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This dataset is intended for students, researchers, and engineers studying lithium-ion battery behavior, machine learning, feature selection, PCA, regression, clustering, and capacity prediction models.
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Added by
Haddadin, Mariana Franses Shawkat
on Dec 11, 2025
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| Annotating CSV File |
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Attribute descriptions and units: • data_point – Sample index (–) • Test_Time – Total elapsed test time (s) • sample_time – Sampling interval (s) • Step_Index – Load step type (–) • Cycle_Index – Battery cycle number (–) • Current – Applied current (A) • Voltage – Terminal voltage (V) • Charge_Capacity – Charging capacity (Ah) • Discharge_Capacity – Discharging capacity (Ah) • Cell_T – Cell temperature (°C) All units follow standard battery cycling test conventions.
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Added by
Haddadin, Mariana Franses Shawkat
on Dec 11, 2025
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| Alternative Title |
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This dataset contains preprocessed lithium-ion battery cycling data collected in the ASPEN Lab at Southern Methodist University (SMU). Each row represents one measurement during a controlled charge/discharge cycle. The data were cleaned, structured, and prepared for machine-learning analysis in the CEE 5303/7303 Applied AI final project.
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Added by
Haddadin, Mariana Franses Shawkat
on Dec 11, 2025
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