Battery Degradation Dataset - Li Plating And SEI Growth

Published: 13 August 2024| Version 2 | DOI: 10.17632/m8w8sjk3vm.2
Contributors:
Jiwei Yao,
, Tao Gao, Benben Jiang, Kody Powell

Description

45 commercial Li−ion coin cells (LIR2025H produced by EEMB Battery) with nickel manganese cobalt oxide (NMC) cathodes and graphite anodes are cycled on a Landt CT3001A battery test system to generate cycle data. The cells are charged under CCCV profile with constant current range from 0.2C to 5.5C. The cutoff voltage ranges from 4.2V to 4.4V. All cells are discharged with C/5. The detail charging profile can be found in the charging policy.xlsx. If you make use of our data, please cite our dataset directly using its DOI, as well as the following papers: Yao, J., Gao, Q., Gao, T., Jiang, B., & Powell, K. M. (2024). A Physics–Guided Machine Learning Approach for Capacity Fading Mechanism Detection and Fading Rate Prediction Using Early Cycle Data. Batteries, 10(8), 283. Please also consider citing our papers on these topics, see: Yao, J., Powell, K., & Gao, T. (2022). A two-stage deep learning framework for early-stage lifetime prediction for lithium-ion batteries with consideration of features from multiple cycles. Frontiers in Energy Research, 10, 1059126.

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Institutions

University of Utah, Tsinghua University

Categories

Aging, Lithium Battery

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