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基于电网储能循环的二次使用寿命锂离子电池老化数据集。

Second-life lithium-ion battery aging dataset based on grid storage cycling.

作者信息

Moy Kevin, Khan Muhammad Aadil, Fasolato Simone, Pozzato Gabriele, Allam Anirudh, Onori Simona

机构信息

Department of Energy Science and Engineering, Stanford University, 367 Panama St, Stanford, CA 94305, United States.

Department of Electrical, Computer and Biomedical Engineering University of Pavia, 27100 Pavia, Italy.

出版信息

Data Brief. 2024 Oct 21;57:111046. doi: 10.1016/j.dib.2024.111046. eCollection 2024 Dec.

DOI:10.1016/j.dib.2024.111046
PMID:39678446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11639452/
Abstract

This paper describes an experimental dataset of used lithium-ion battery cells cycled on grid storage synthetic duty cycles to study their feasibility for second-life applications. Data were collected at the Stanford Energy Control Laboratory at Stanford University, CA, USA. The ten INR21700-M50T battery cells with graphite/silicon anode and Nickel-Manganese-Cobalt (NMC) cathode had been previously tested over a period of 23 months according to the Urban Dynamometer Driving Schedule (UDDS) discharge driving profile. In this paper, six out of these ten cells are tested for a period of 24 months. The aging campaign is a combination of calendar aging and cycling. The cycling portion is designed to replicate real-world usage patterns based on synthetic duty cycles for residential and commercial grid energy storage systems (ESS). Battery cycling alternates between 20 °C and 35 °C to simulate seasonal temperature variations encountered in grid applications. The calendar aging, on the other hand, occurs at room temperature. Periodic assessments of battery degradation during second-life testing are accomplished via Reference Performance Tests for second-life (RPT S) comprising of a combined capacity and pulse power test, and Electrochemical Impedance Spectroscopy (EIS) at three state-of-charge (SOC) values. The data set captures the combined effects of cycling-induced stress and long-term storage.

摘要

本文描述了一个用于锂离子电池的实验数据集,这些电池在电网储能合成工况下进行循环,以研究其用于二次应用的可行性。数据在美国加利福尼亚州斯坦福大学的斯坦福能源控制实验室收集。这十个采用石墨/硅阳极和镍锰钴(NMC)阴极的INR21700-M50T电池此前已按照城市测功机行驶工况(UDDS)放电行驶曲线进行了为期23个月的测试。在本文中,对这十个电池中的六个进行了为期24个月的测试。老化试验是日历老化和循环老化的组合。循环部分旨在根据住宅和商业电网储能系统(ESS)的合成工况复制实际使用模式。电池循环在20°C和35°C之间交替,以模拟电网应用中遇到的季节性温度变化。另一方面,日历老化在室温下进行。在二次使用测试期间,通过二次使用参考性能测试(RPT S)对电池退化进行定期评估,该测试包括组合容量和脉冲功率测试,以及在三个充电状态(SOC)值下的电化学阻抗谱(EIS)。该数据集捕捉了循环诱导应力和长期存储的综合影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/a586955bf41e/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/7fcf7fc7c315/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/9c6ad1107421/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/6be231e0bfd4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/da0eaec843bd/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/592771ff6793/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/da9536f58409/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/f76a32efca2e/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/f8be4f4485c2/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/02cf393fdcb2/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/b2efbd4f5aab/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/2893f657ddc1/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/d27b30bacc7f/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/a586955bf41e/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/7fcf7fc7c315/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/9c6ad1107421/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/6be231e0bfd4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/da0eaec843bd/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/592771ff6793/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/da9536f58409/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/f76a32efca2e/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/f8be4f4485c2/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/02cf393fdcb2/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/b2efbd4f5aab/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/2893f657ddc1/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/d27b30bacc7f/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e919/11639452/a586955bf41e/gr13.jpg

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本文引用的文献

1
Lithium-ion battery aging dataset based on electric vehicle real-driving profiles.基于电动汽车实际行驶工况的锂离子电池老化数据集。
Data Brief. 2022 Feb 25;41:107995. doi: 10.1016/j.dib.2022.107995. eCollection 2022 Apr.