Dataset of Second-life Lithium-ion Batteries under different Overcharging conditions

This dataset comprises 114 experiments on second-life lithium-ion batteries subjected to overcharging abuse conditions. The experimental design was structured using the Design of Experiments (DoE) methodology to ensure systematic variation and control of key parameters.The following factors and their respective levels were considered in the experimental design:Ambient temperature: 20\u00b0C to 60\u00b0C;Overcharging duration: 250 to 900 seconds;Final voltage: 4.3V to 6.0V;Charging current: 1A to 5A;Battery nominal capacity: 500 to 2200 mAh;Based on the DoE algorithm, 114 unique experimental conditions were generated and executed to populate the dataset. Each experiment is recorded in a CSV file containing time-series data sampled at 1 second intervals. The columns in each file are as follows:timestamp: Epoch time of each sample;v: Battery voltage (V);vf: Final proposed voltage (V);c: Charging current (mA);t: Battery temperature (\u00b0C);capacity: Nominal capacity of the battery before testing (mAh);amb: Ambient temperature during the experiment (\u00b0C);The data acquisition system was built around a Raspberry Pi connected to an ADS1115 analog-to-digital converter via the I\u00b2C protocol. A Node-RED instance running on the Raspberry Pi collected and stored the data in real time. Each sample was saved to a CSV file corresponding to a single experiment.Current measurements were obtained using an ACS712A 20A Hall-effect sensor. Temperature readings (both cell and ambient) were captured using NTC 10k\u03a9 thermistors. Voltage measurements were directly acquired from the battery terminals.All experiments were conducted with 18650 second-life batteries under controlled ambient conditions. Batteries were charged using an external constant current power supply to simulate overcharging scenarios.Due to the demanding experimental setup, some batteries experienced damage to their CID (Current Interrupt Device) due to high internal temperature and pressure. The CID is triggered by failures and abuse conditions that raise internal temperature and pressure, leading to disconnection. When this occurred, the test was interrupted. Otherwise, the experiments followed the final voltage or charging time specified by the DoE, maintaining constant current and ambient temperature. The nominal capacity varied for each battery.The primary objective of this dataset is to provide sufficient data to analyze the effects of varying battery parameters and to assess the resulting impacts on battery behavior and safety under overcharging conditions.