Data for: Uncovering the Impact of Battery Design Parameters on Health and Lifetime Using Short Charging Segments

Raw battery data and digital twin model data for battery health and lifetime analysis The dataset consists of raw and simulated data from 9 NMC/Gr cylindrical cells. An additional multi-step fast-charging dataset is currently being processed for another manuscript and is not yet publicly available. The raw data includes: Cycling aging data under various charging protocols, temperatures, and depths of discharge. Reference performance test (RPT) data, providing capacity measurements every 100 cycles. The processed data includes: Cycling aging data stored in a MATLAB data structure (data.mat) Pre-calculated Equivalent Full Cycle (EFC) numbers (EFC.mat) End-of-Charge Voltage (EOCV) values for each charge cycle (EOCV.mat) Additionally, data generated from a digital twin model is provided to support battery health and lifetime modeling.