Full factorial design of experiments dataset for parallel-connected lithium-ion cells imbalanced performance investigation

Description

This work includes an experimental dataset of lithium-ion battery parallel-connected modules. The campaign, conducted at the Stanford Energy Control Laboratory, employs a comprehensive full factorial Design of Experiment methodology on ladder-configured parallel strings. A total of 54 test conditions were investigated under various operating temperatures, cell-to-cell interconnection resistance, cell chemistry, and aging levels. The module-level testing procedure involved fixed Constant Current Constant Voltage (CC-CV) charging and Constant Current (CC) discharge. Beyond monitoring total module current and voltage, Hall sensors and thermocouples were employed to measure the signals from each individual cell to quantify both current and temperature distribution within each tested module configuration. Additionally, the dataset contains cell characterization data for every cell (i.e. NCA Samsung INR21700-50E and NMC LG-Chem INR21700-M50T) used in the module-level experiments. This dataset provides valuable resources for developing battery physics-based, empirical, and data-driven models at single cell and module level, ultimately contributing to a deeper understanding of how cell-to-cell variations propagate from the individual cell level to define the performance of the complete system.

Steps to reproduce

The dataset includes results from parallel-connected cells performance electrochemical testing. A set of tests defined as (1) single cells characterisation and (2) module-level experiments. (1) Single-cell characterisation Discharge capacity is recorded via an the Arbin LBT21024 system supplying a C/20 rate CC to individual cells. Ohmic resistance is tracked at 10% SoC intervals via hybrid pulse power characterisation (HPPC) and MultiSine test protocols. (2) Module-level experiments The Arbin Instruments LBT22013 system supplies the user-defined 0.75 C-rate discharge current profile to CC-CV fully charged parallel connected cells. The module terminals voltage, cells surface temperatures and parallel branch currents are measured via the Arbin system, Omega T-type thermocouples, and Honeywell Hall Effect SS495A calibrated sensors, respectively. The experimental temperature is maintained at the design target by the Amerex IC500R thermal chamber. The data is logged via MITS Pro Software at a sample rate of 1s. For further information on the reproducibility of the dataset, the reader is advised to review the papers: - Piombo, G., Fasolato, S., Heymer, R., Hidalgo, M., Niri, M.F., Onori, S. and Marco, J., 2024. Unveiling the performance impact of module level features on parallel-connected lithium-ion cells via explainable machine learning techniques on a full factorial design of experiments. Journal of Energy Storage, 84, p.110783, doi: https://doi.org/10.1016/j.est.2024.110783 - Piombo, G., Fasolato, S., Heymer, R., Hidalgo, M.F., Niri, M.F., Raimondo, D.M., Marco, J. and Onori, S., 2024. Full factorial design of experiments dataset for parallel-connected lithium-ion cells imbalanced performance investigation. Data in Brief, 53, p.110227, doi: https://doi.org/10.1016/j.dib.2024.110227

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