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Area of Science:

  • Materials Science
  • Electrochemistry
  • Energy Storage

Background:

  • High-power lithium-ion batteries (LIBs) are critical for electric vehicles and eVTOLs.
  • Battery degradation (e.g., lithium plating, particle cracking) is accelerated by high C-rates, temperatures, and depth-of-discharge (DOD).
  • Limited public datasets exist for high-power LIB characterization.

Purpose of the Study:

  • To present a comprehensive characterization dataset for high-power LIBs.
  • To facilitate the development of advanced battery models.
  • To enable the study of cell-to-cell variations and their impact on battery performance.

Main Methods:

  • Characterization of 12 high-power Nickel Manganese Cobalt (NMC) cells.
  • Conducting capacity tests, high C-rate pulse tests, and impedance tests.
  • Testing at controlled temperatures: 5 °C, 25 °C, and 40 °C.

Main Results:

  • Detailed dataset including performance metrics under varied conditions.
  • Quantification of cell-to-cell variations in high-power NMC cells.
  • Data suitable for developing stochastic battery models.

Conclusions:

  • The presented dataset addresses the scarcity of high-power LIB data.
  • Enables more accurate modeling of battery behavior, considering uncertainties.
  • Supports advancements in battery management systems for demanding applications.