Published March 29, 2026 | Version 1.0.0
Dataset Open

Revealing irreversible electrochemical response via active symmetry-constrained electrical perturbation sensing

Authors/Creators

  • 1. EDMO icon Chalmers University of Technology
  • 2. ROR icon Tsinghua University
  • 3. Xiamen Lijing New Energy Technology Co., Ltd.

Description

This dataset accompanies the manuscript “Electrochemical reversibility revealed by bipolar perturbations for chemistry-inclusive retired lithium-ion battery diagnostics.” It contains retired lithium-ion battery testing data together with the processed data products used for feature extraction, diagnostic analysis, and model development.

The dataset supports a chemistry-inclusive workflow for studying electrochemical reversibility under bipolar perturbations and for building data-driven battery diagnostic models. It is intended to enable transparent reuse of the experimental data, processed features, and computational workflow associated with the study.

Files

Data_Process_Output.zip

Files (27.1 GB)

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md5:da0f024170d76b52f6b1c3f66b7208f2
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Additional details

Funding

Swedish Research Council
2023-04314
European Commission
Marie Skłodowska-Curie Actions 101283078
European Commission
Marie Skłodowska-Curie Actions 101131278
Tsinghua Shenzhen International Graduate School
Interdisciplinary Innovative Fund JC2021006

Software

Repository URL
https://github.com/terencetaothucb/Electrochemical-reversibility-revealed-by-bipolar-perturbations-for-lithium-ion-battery-diagnostics
Programming language
Python
Development Status
Active