UConn-MathWorks LFP/Gr Second-Life Battery Aging Dataset

Authors

Tingkai Li, University Of ConnecticutFollow
Aidan Lawlor, University of ConnecticutFollow
Adarsh Narasimhamurthy, The MathWorks, IncFollow
Xiaomeng Peng, The MathWorks, IncFollow
Chao Hu, University of ConnecticutFollow

Abstract/Description

This dataset is derived from a test campaign involving 108 commercial LithiumWerks 18650 LFP/Gr cells (nominal capacity: 1.2 Ah, nominal voltage: 3.3 V). The cells were cycled using Neware BTS 4000 testers under controlled temperature conditions. The cells were grouped (3 or 2 cells per group) and cycled under varying fast-charging protocols until their remaining capacity dropped below 80%, simulating end-of-first-life. Fast-charging protocols included: (1) one-step constant current–constant voltage (CCCV) charging with constant C-rates (4C–6C), (2) SOH-based derating CCCV charging with dynamic C-rate reduction, and (3) two-step charging combining a high-rate constant current (CC) step and 1C CCCV step based on a switching SOC (70%–90%). Discharge protocols used CC steps with variable C-rates (2C–4C) and depths of discharge (70%–100%).

Approximately every 5 days, a reference performance test (RPT) was conducted to measure capacity and internal resistance, using standardized CCCV/CC steps and slow/fast pulse tests. After reaching <80% capacity, cells were “retired” from first-life cycling and subjected to second-life conditions with mild 0.5C full-depth cycling. The dataset aims to support state-of-health (SOH) estimation models, particularly for second-life battery applications.

Terms of Use

CC BY 4.0

Recommended Citation

Li, Tingkai; Lawlor, Aidan; Narasimhamurthy, Adarsh; Peng, Xiaomeng; and Hu, Chao, "UConn-MathWorks LFP/Gr Second-Life Battery Aging Dataset" (2025). REIL Datasets. 3.
https://digitalcommons.lib.uconn.edu/reil_datasets/3