Tbilisi Monitoring Lithium Battery Pack

Indeed, the contribution to the UN Sustainable Development Goals (SDGs) are emphasized in recent research for both LiBs and IoT . The designed system can be applied to LiB monitoring in electric vehicles. This scenario also receives research efforts for battery management and monitoring, .

Novelty relies on IoT, mid-scale LiB, alerts, real conditions and interoperability. Long-term (two years) experimental results prove the suitability of the proposal. Energy storage through Lithium-ion Batteries (LiBs) is acquiring growing presence both in commercially available equipment and research activities.

The dataset presents comprehensive calendar aging data collected from commercial LGM50 lithium-ion cells under controlled storage conditions: Storage Temperatures: 0°C, 25°C, and 45°C; State of Charge (SOC): 13 distinct levels per temperature condition; Test Duration: Two-years per condition (on average).

This dataset accompanies the data article "Second-life lithium-ion battery aging dataset based on grid storage cycling" and contains second-life experimental data collected at Stanford Energy Control Lab for six NMC cells cycled using residential and commercial synthetic duty cycles. The data is shared in a .zip format.

The presented monitoring system allows for continuous recording and display of LiB magnitudes. These data are collected from equipment to which the LiB is directly connected. Namely, the BMU of the LiB measures the voltage, current and temperature, and estimates the SOC.

This dataset contains experimental data for three lithium-ion batteries tested under galvanostatic discharge at various C-rates and operational temperatures. Using the Arbin system, the dataset provides detailed measurements of voltage, current, and battery skin temperature, with ambient temperature controlled via a thermal chamber.