Micro-pulse-augmented galvanostatic intermittent titration for uncertainty-controlled diffusion-related timescale extraction

This dataset accompanies the manuscript “Micro-pulse-augmented galvanostatic intermittent titration for uncertainty-controlled diffusion-related timescale extraction” and contains electrochemical pulse-relaxation data used to develop and evaluate a micro-pulse-augmented galvanostatic intermittent titration technique (µP-GITT) framework for identifiability-aware extraction of diffusion-related relaxation timescales in commercial lithium-ion coin cells. The dataset includes time-resolved current, voltage, and time records from conventional GITT and µP-GITT measurements. The primary dataset consists of eleven commercial LIR2032 rechargeable lithium-ion coin cells tested under the baseline protocol. Additional commercial coin-cell types, protocol-variation datasets, and mildly cycled LIR2032 cells are included to evaluate the robustness of the analysis across cell formats, pulse-design conditions, and cell conditions. For each µP-GITT step, the protocol consists of a main pulse, a main relaxation period, an embedded short micro-pulse, and a subsequent micro-relaxation period. The embedded micro-pulse introduces only a small local SOC perturbation and provides an additional short-timescale relaxation response for joint analysis with the main relaxation. The dataset therefore supports the analysis of paired main-pulse and micro-pulse relaxation responses within nearly unchanged local SOC regions. The repository contains raw measurement files, protocol metadata, and cell information required to reconstruct the relaxation responses and reproduce the analysis workflow described in the associated manuscript. The data are intended to support reproducibility of the reported µP-GITT analysis, comparison of main-only and joint fitting strategies, evaluation of local identifiability and uncertainty metrics, and further development of pulse-based battery characterization protocols. The extracted tau1 values should be interpreted as effective diffusion-related relaxation timescales under the specified reduced-order voltage-response model, rather than as direct microscopic diffusivities or unique material constants.