Dataset of lithium-ion cell degradation under randomized current profiles for NMC, NCA, and LFP chemistries

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-04-04 DOI:10.1016/j.dib.2025.111531

Mohsen Heydarzadeh, Teemu Toivola, Victor Vega-Garita, Eero Immonen

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引用次数: 0

Abstract

This paper describes an experimental dataset of lithium-ion cells subjected to a randomized usage profile and periodically characterized through diagnostic tests. The study involved testing eight cells from three types of chemistries (NMC, NCA, LFP) over more than 600 full charge–discharge cycles. The dataset captures the cell's degradation process, including capacity fade and power loss. The experimental procedure comprised an initial full charge/discharge cycle to activate the cells, followed by repeated cycles at varying discharging current rates ranging from 0.5C to 2C/5C. Periodic Hybrid Dynamic Pulse Power Characterization (HPPC) and Constant Current∼ (CC) discharging profiles were executed as reference performance testing (RPT) to monitor transient dynamics and overall performance changes. Furthermore, the Constant Current–Constant Voltage (CC–CV) charging protocol was implemented at 1C charging rates. The experiment entailed the collection of data on voltage, current, cell temperature, ambient temperature, and time, with a 1 Hz sampling rate, utilizing specialized equipment, Chroma 1107 system and temperature sensors. The dataset facilitates the characterization of cell aging under various usage patterns, thereby enabling the development of models and management strategies for different applications. The data was collected at the New Energy Research Center at Turku University of Applied Sciences (TUAS), Finland.

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NMC、NCA和LFP化学下随机电流分布下锂离子电池降解数据集

本文描述了一个实验数据集的锂离子电池受到随机使用概况和定期特征通过诊断测试。这项研究包括测试三种化学成分（NMC、NCA、LFP）的8个电池，并进行了600多次完整的充放电循环。数据集捕获电池的退化过程，包括容量衰减和功率损失。实验过程包括一个初始的完整充电/放电周期来激活电池，然后在0.5C到2C/5C的不同放电电流率下重复循环。周期性混合动态脉冲功率表征（HPPC）和恒流放电（CC）曲线作为参考性能测试（RPT）来监测瞬态动力学和整体性能变化。此外，在1C充电速率下实现了恒流-恒压（CC-CV）充电协议。该实验需要收集电压、电流、电池温度、环境温度和时间等数据，采样率为1hz，利用专门的设备、Chroma 1107系统和温度传感器。该数据集有助于在各种使用模式下描述细胞老化，从而能够为不同的应用开发模型和管理策略。这些数据是在芬兰图尔库应用科学大学（TUAS）的新能源研究中心收集的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.