Fasolato Simone, Blasuttigh Nicola, Galuppini Giacomo, Raimondo Davide M
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Department of Engineering and Architecture, University of Trieste, Trieste, Italy.
Data Brief. 2025 Jan 17;58:111301. doi: 10.1016/j.dib.2025.111301. eCollection 2025 Feb.
This paper presents an experimental dataset for a batch of eleven prismatic CALB L148N58A lithium-ion B-grade battery cells with a nominal capacity of 58 Ah. The experimental campaign, conducted at the Energy Laboratory for Interdisciplinary Storage Applications (ELISA) at the University of Trieste, Italy, employs non-destructive tests to assess the performance of each cell within the batch. The cell-level testing procedures include fixed Constant Current Constant Voltage (CCCV) charging and Constant Current (CC) discharging at low current rates, Hybrid Pulse Power Characterization (HPPC) tests at various C-rates (i.e., 1C and C/3), Electrochemical Impedance Spectroscopy (EIS) at different State of Charge (SOC) levels, and three distinct driving cycles (WLTP, UDDS and US06). All the experiments were conducted at three different ambient temperatures (10°C, 25°C, and 40°C), resulting in a comprehensive dataset for assessing the performance metrics of the battery cells. This dataset provides valuable insights into post-manufacturing cell-to-cell variations in performance metrics such as capacity and impedance within a batch of fresh cells. Additionally, it serves as a crucial resource for developing battery models, including physics-based, empirical, and data-driven approaches. Moreover, it may contribute to validate model-based and data-driven estimation and control strategies within battery management systems, enhancing the reliability and efficiency of energy storage solutions.
本文展示了一批11个棱柱形CALB L148N58A锂离子B级电池单元的实验数据集，其标称容量为58 Ah。该实验活动在意大利的里雅斯特大学跨学科储能应用能源实验室（ELISA）进行，采用无损测试来评估这批电池中每个单元的性能。电池单元级测试程序包括在低电流速率下进行固定的恒流恒压（CCCV）充电和恒流（CC）放电、在不同C率（即1C和C/3）下进行混合脉冲功率特性（HPPC）测试、在不同荷电状态（SOC）水平下进行电化学阻抗谱（EIS）测试以及三个不同的驾驶循环（WLTP、UDDS和US06）。所有实验均在三个不同的环境温度（10°C、25°C和40°C）下进行，从而得到一个用于评估电池单元性能指标的综合数据集。该数据集为评估一批新电池中容量和阻抗等性能指标在制造后单元间的差异提供了有价值的见解。此外，它是开发电池模型（包括基于物理、经验和数据驱动方法）的关键资源。而且，它可能有助于验证电池管理系统中基于模型和数据驱动的估计与控制策略，提高储能解决方案的可靠性和效率。
