High-power lithium-ion battery characterization dataset for stochastic battery modeling

High-power lithium-ion battery (LIB) applications, such as electric racing cars and electric vertical take-off and landing (eVTOL) aircrafts, are growing rapidly. Degradation in LIBs such as lithium plating, particle cracking, and SEI breakdown is accelerated at high C-rate at different temperatures and depth-of-discharges (DOD); however, high-power cells are designed to better withstand these operating conditions as compared to high-energy cells. Despite this, publicly available datasets of high-power batteries are limited. In this work, we present a characterization dataset of 12 high-power NMC cells which includes capacity tests, high C-rate pulse tests, and impedance tests, all of which are conducted at temperature set points of 5 °C, 25 °C, and 40 °C. Additionally, the dataset captures cell-to-cell variations, enabling the development of stochastic battery models that account for parameter uncertainty and its impact on the cell terminal voltage.