海洋能电站工况下锂离子电池加速老化试验数据集

研究团队使用电池测试仪模拟电池充放电，利用四线制夹具将锂离子电池固定并连接到测试仪，由计算机控制整个测试系统。实验数据采集涵盖海洋能电站工况下的加速老化测试、容量测试、DST测试和EIS测试多个环节。对四组不同初始SOC的电池进行多环节测试，获取电流、电压、容量、DST端电压曲线和EIS曲线等数据。
从特征上看，这些数据多维度展现电池特性，通过不同循环次数的数据变化体现电池老化过程，如部分电池容量先增后减、EIS曲线变化反映欧姆阻抗增大等。而且各类数据相互关联，能为研究电池内部物理化学过程、确定健康特征提供依据，全面深入地揭示电池在海洋能电站储能工况下的性能变化规律。

The research team utilized a battery tester to simulate the charging and discharging of lithium-ion batteries. A four-wire fixture was used to secure the lithium-ion batteries and connect them to the tester, with the entire test system controlled by a computer. The experimental data collection encompasses multiple test procedures, including accelerated aging tests, capacity tests, DST tests, and EIS tests conducted under the operating conditions of marine energy power stations. Four groups of batteries with distinct initial State of Charge (SOC) values underwent multi-link testing, and data such as current, voltage, capacity, DST terminal voltage curves, and EIS curves were acquired.
In terms of data characteristics, these datasets exhibit battery performance from multiple dimensions, reflecting the aging process of the batteries through variations in data across different cycle counts. For example, the capacity of some batteries first increases and then decreases, while changes in the EIS curves indicate an increase in ohmic impedance. Additionally, all categories of data are interrelated, providing a foundation for researching the internal physicochemical processes of batteries and identifying their health characteristics, thereby comprehensively and thoroughly revealing the performance variation laws of batteries under the energy storage operating conditions of marine energy power stations.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于海洋能电站储能工况下锂离子电池的加速老化试验，通过模拟充放电过程，采集了包括电流、电压、容量、DST端电压曲线和EIS曲线在内的多维度数据，全面揭示了电池在不同循环次数下的性能变化规律。这些数据不仅可用于电池建模、健康特征提取和老化特性研究，还能支持状态监测与寿命预测技术的开发，为优化海洋能储能系统的设计和管理提供关键依据。