Baakes Florian, Witt Daniel, Krewer Ulrike
Institute for Applied Materials - Electrochemical Technologies, Karlsruhe Institute of Technology Adenauerring 20b 76131 Karlsruhe Germany
Chem Sci. 2023 Nov 3;14(47):13783-13798. doi: 10.1039/d3sc04186g. eCollection 2023 Dec 6.
Li-ion batteries have a potential risk of thermal runaway. Current safety evaluations in academia and industry rely on experiments or semi-empirical simulations. This limits the understanding of processes leading to or occurring during thermal runaway and how chemical species and impurities can impact them. The limited (quantitative) understanding in turn hinders a holistic safety assessment and optimisation of countermeasures through design or operation. The here presented thermal-runaway model contains a detailed degradation reaction network, which allows the impact of chemical species and impurities on thermal runaway to be studied. We set a particular focus on water impurities and solid-electrolyte interphase (SEI) properties, as both are known to impact life-time of batteries. SEI composition and thickness change during ageing, which is shown here to impact battery safety significantly. The model can reproduce reported experimental behaviour: aged cells are more safe, as they start self-heating, heat production without an external heat source, at 15-20 °C higher temperatures than fresh cells. Our model suggests a thick inorganic and thus less reactive SEI as the underlying cause. Furthermore, we could show that extensive electrode drying to remove water impurities before building battery cells will not significantly improve safety characteristics. In contrast, electrodes not subjected to any drying procedure cause an earlier start of the self-heating phase, have a higher risk of thermal runaway. These insights into the sensitivity to thermal runaway allow robust methods to be tailored for its prevention, from controlling battery and SEI properties during production to adjusting safety assessment for effects of ageing.
锂离子电池存在热失控的潜在风险。目前学术界和工业界的安全评估依赖于实验或半经验模拟。这限制了对热失控发生前或发生过程的理解,以及化学物质和杂质如何影响这些过程。这种有限的(定量)理解反过来又阻碍了通过设计或操作进行全面的安全评估和对策优化。本文提出的热失控模型包含一个详细的降解反应网络,可用于研究化学物质和杂质对热失控的影响。我们特别关注水杂质和固体电解质界面(SEI)特性,因为两者都已知会影响电池寿命。老化过程中SEI的组成和厚度会发生变化,本文表明这会对电池安全产生重大影响。该模型可以重现已报道的实验行为:老化的电池更安全,因为它们在比新电池高15 - 20°C的温度下开始自热,即在没有外部热源的情况下产生热量。我们的模型表明,较厚的无机且因此反应性较低的SEI是根本原因。此外,我们可以表明,在制造电池之前对电极进行广泛干燥以去除水杂质不会显著改善安全特性。相比之下,未经过任何干燥程序的电极会导致自热阶段更早开始,热失控风险更高。这些对热失控敏感性的见解有助于制定强大的预防方法,从生产过程中控制电池和SEI特性到调整老化影响的安全评估。