An accelerated Life Testing Dataset for Lithium-Ion Batteries with Constant and Variable Loading Conditions
We present an accelerated Li-ion battery life cycle dataset focused on a large range of load levels and the characterization of the life cycle of a battery pack composed of two 18650 battery cells. The life cycle study is conducted with a total of 26 battery packs that are grouped by constant and random loading conditions, loading levels and number of load level changes. Furthermore, we conducted load cycling on second-life batteries, where surviving cells from previously aged battery packs were assembled to second- life packs.
The dataset was generated from a custom-made testbed to cycle battery packs designed and developed by Kajetan Fricke, Renato Nascimento, and Prof. Felipe Viana, from the Probabilistic Mechanics Laboratory at the University of Central Florida (UCF).