遇见数据集

Mechanically Induced Thermal Runaway for Li-ion Batteries

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Mendeley Data2026-04-18 收录
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The deployment of Li-ion batteries covers a wide range of energy storage applications, from mobile phones, e-bikes, electric vehicles (EV) and stationary energy storage systems. However, safety issue such as thermal runaway is always one of the most important concerns to prevent Li-ion batteries from further market penetration. A standardized single-side indentation test protocol was developed to mechanically induce an internal short-circuit. The cell voltage, compressive load, indenter stroke, and temperature at the indentation point are measured in time series. The test data of each cell, along with cell parameters such as dimensions, mass, chemistry, state of charge (SOC), capacity, are integrated together to calculate a thermal runaway severity score from 0 to100. Complete data collection process including the original measured record, test method, severity score calculation scheme is presented in this article. The thermal runaway severity analysis and the more than 100 tested Li-ion battery records provide a good data source for further comparison and ranking of thermal runaway risks.

锂离子电池(Li-ion batteries)的应用覆盖了众多储能场景,涵盖手机、电动自行车、电动汽车(EV)及固定式储能系统。然而,热失控(thermal runaway)等安全问题始终是阻碍锂离子电池进一步扩大市场渗透率的关键顾虑。本研究制定了一套标准化单侧压痕测试规程,通过机械手段触发电池内部短路。测试过程中,将按时间序列同步采集电池电压、压缩载荷、压头行程及压痕点温度数据。将单颗电池的测试数据与尺寸、质量、化学体系、荷电状态(SOC)、容量等电池参数进行融合,计算得到0至100分的热失控严重程度评分。本文完整披露了数据采集全流程,涵盖原始实测记录、测试方法及严重程度评分计算方案。本次热失控严重程度分析结果及100余组锂离子电池测试记录,可为热失控风险的后续对比与分级提供高质量的数据支撑。

创建时间:
2024-09-24
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