Chemistry Division, U.S. Naval Research Laboratory.
Chemistry Division, U.S. Naval Research Laboratory; NRL/NRC Post-doctoral Research Associate.
J Vis Exp. 2021 Sep 15(175). doi: 10.3791/60342.
The hazards associated with lithium-based battery chemistries are well-documented due to their catastrophic nature. Risk is typically qualitatively assessed through an engineering risk matrix. Within the matrix, potentially hazardous events are categorized and ranked in terms of severity and probability to provide situational awareness to decision makers and stakeholders. The stochastic nature of battery failures, particularly the lithium-ion chemistry, makes the probability axis of a matrix difficult to properly assess. Fortunately, characterization tools exist, such as accelerated rate calorimetry (ARC), that characterize degrees of battery failure severity. ARC has been used extensively to characterize reactive chemicals but can provide a new application to induce battery failures under safe, controlled experimental conditions and quantify critical safety parameters. Due to the robust nature of the extended volume calorimeter, cells may be safely taken to failure due to a variety of abuses: thermal (simple heating of cell), electrochemical (overcharge), electrical (external short circuit), or physical (crush or nail penetration). This article describes the procedures to prepare and instrument a commercial lithium-ion battery cell for failure in an ARC to collect valuable safety data: onset of thermal runaway, endotherm associated with polymer separator melting, pressure release during thermal runaway, gaseous collection for analytical characterization, maximum temperature of complete reaction, and visual observation of decomposition processes using a high temperature borescope (venting and cell can breach). A thermal "heat-wait-seek" method is used to induce cell failure, in which the battery is heated incrementally to a set point, then the instrument identifies heat generation from the battery. As heat generates a temperature rise in the battery, the calorimeter temperature follows this temperature rise, maintaining an adiabatic condition. Therefore, the cell does not exchange heat with the external environment, so all heat generation from the battery under failure is captured.
由于其灾难性的性质,与锂离子电池化学相关的危险是有据可查的。风险通常通过工程风险矩阵进行定性评估。在矩阵中,潜在的危险事件根据严重程度和发生概率进行分类和排序,为决策者和利益相关者提供情境意识。电池故障的随机性,特别是锂离子化学,使得矩阵的概率轴难以正确评估。幸运的是,存在特征化工具,例如加速率量热法 (ARC),可以对电池故障严重程度进行特征化。ARC 已广泛用于描述反应性化学物质,但可以在安全、受控的实验条件下提供新的应用,以诱导电池故障并量化关键安全参数。由于扩展体积量热仪的坚固性,由于各种滥用,电池可能会安全地失效:热(简单加热电池)、电化学(过充)、电(外部短路)或物理(压碎或钉子穿透)。本文描述了在 ARC 中为商业锂离子电池准备和安装仪器以收集有价值的安全数据的程序:热失控的开始、与聚合物分离器熔化相关的吸热、热失控期间的压力释放、用于分析特征化的气体收集、完全反应的最高温度,以及使用高温内窥镜(通风和电池可能破裂)观察分解过程。使用热“热等待寻找”方法来诱导电池失效,其中电池逐渐加热到设定点,然后仪器识别电池产生的热量。随着热量在电池中产生温度升高,量热仪的温度随之升高,保持绝热条件。因此,电池与外部环境不交换热量,因此电池在失效时产生的所有热量都被捕获。