Impedance-Based Battery Performance Forecasting with Random Current Cycling

88 commercial lithium-ion coin cells were cycled under multistage constant current charging and discharging protocols to emulate realistic use patterns. The dataset includes impedance measurements at 57 frequencies per cycle for 110-120 cycles per cell, collected by Penelope Jones at the University of Cambridge. It contains data from two cell chemistries under variable and fixed discharge conditions at different temperatures.

Use Cases

• Forecasting battery capacity fade based on electrochemical impedance spectroscopy (EIS) data.
• Modeling the impact of randomized charge/discharge currents on battery degradation.
• Comparing battery performance under fixed versus variable discharge protocols.
• Analyzing the effect of temperature (25C vs 35C) on impedance spectra and cell aging.

Strengths

• Contains data from 88 individual cells, providing a basis for statistical analysis.
• Includes impedance measurements at 57 frequencies per cycle, offering detailed spectral information.
• Emulates realistic usage through randomly selected charge and discharge currents across cycles.
• Covers two different cell chemistries (Powerstream and RS-Pro) and two temperature conditions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Cambridge

Collection Method

Laboratory cycling of commercial coin cells under controlled constant current protocols with impedance spectroscopy.