Abstract
This paper describes an experimental dataset of lithium-ion cells subjected to a randomized usage profile and periodically characterized through diagnostic tests. The study involved testing eight cells from three types of chemistries (NMC, NCA, LFP) over more than 600 full charge-discharge cycles. The dataset captures the cell's degradation process, including capacity fade and power loss. The experimental procedure comprised an initial full charge/discharge cycle to activate the cells, followed by repeated cycles at varying discharging current rates ranging from 0.5C to 2C/5C. Periodic Hybrid Dynamic Pulse Power Characterization (HPPC) and Constant Current∼ (CC) discharging profiles were executed as reference performance testing (RPT) to monitor transient dynamics and overall performance changes. Furthermore, the Constant Current-Constant Voltage (CC-CV) charging protocol was implemented at 1C charging rates. The experiment entailed the collection of data on voltage, current, cell temperature, ambient temperature, and time, with a 1 Hz sampling rate, utilizing specialized equipment, Chroma 1107 system and temperature sensors. The dataset facilitates the characterization of cell aging under various usage patterns, thereby enabling the development of models and management strategies for different applications. The data was collected at the New Energy Research Center at Turku University of Applied Sciences (TUAS), Finland.