SIT_Battery_Data

The battery degradation study and the associated data collection were supported by the Singapore Energy Market Authority (EMA) under the Exploiting Distributed Generation Programme, Award No. EDGEGC2018-001. This dataset contains battery degradation data collected at the Singapore Institute of Technology (SIT). Twenty-two large-format prismatic lithium iron phosphate (LiFePO₄) cells (50 Ah, 3.2 V nominal; Narada FE50B) were cycled under four distinct operating conditions over an approximately 18-month campaign (October 2022 to March 2024). Data were recorded at 1-second resolution using two industrial-grade battery cycler platforms (Repower HRCDS-5V60A and Chroma 17010) and a Sanwood programmable environmental chamber. A dedicated thermocouple sensor was assigned to every cell under test, providing surface temperature measurements alongside all electrical measurements.The dataset supports capacity fade modelling, state-of-health estimation, remaining useful life prediction, thermal-aware prognostics, cell-to-cell variability studies, and machine learning benchmarking for battery management systems. It is, to the authors' knowledge, the first publicly available battery ageing dataset that simultaneously provides large-format prismatic LFP cells, multi-condition cycling protocols, dedicated per-cell thermal monitoring, and raw time series from industrial-grade equipment.