Gomez-Moreno Luis Arturo, Klemettinen Anna, Serna-Guerrero Rodrigo
Department of Chemical and Metallurgical Engineering, School of Chemical Engineering, Aalto University, P.O. Box 16200, Espoo, Aalto 0076, Finland.
iScience. 2023 Aug 29;26(10):107782. doi: 10.1016/j.isci.2023.107782. eCollection 2023 Oct 20.
A new method based on thermogravimetric analysis was developed to measure the graphite content in battery material mixture. This approach exploits the thermochemical reduction of cathodic Li-transition metal oxides with anodic graphite at elevated temperatures under an inert atmosphere. Using known composition artificial mixtures, a linear correlation between cathode mass loss and sample graphite content was observed. The method was validated using industrial black mass samples and characterized traditionally to estimate and rationalize potential error sources. Thermal degradation profiles of industrial battery waste reflected those in the artificial system, demonstrating its applicability. This work also demonstrates that thermogravimetric degradation profiles can distinguish between a cathode consisting of single or multiple Li-metal oxides. Although accuracy depends on active component mixture content and impurities, it is demonstrated that the method is useful for a fast graphite content estimation. Unlike other graphite characterization techniques, the method proposed is simple and inexpensive.
开发了一种基于热重分析的新方法来测量电池材料混合物中的石墨含量。该方法利用了在惰性气氛下高温时阴极锂过渡金属氧化物与阳极石墨的热化学还原反应。使用已知成分的人工混合物,观察到阴极质量损失与样品石墨含量之间存在线性相关性。该方法通过工业黑粉样品进行了验证,并采用传统方法进行表征,以估计和合理分析潜在的误差来源。工业电池废料的热降解曲线反映了人工系统中的情况,证明了该方法的适用性。这项工作还表明,热重降解曲线可以区分由单一或多种锂金属氧化物组成的阴极。尽管准确性取决于活性成分混合物的含量和杂质,但结果表明该方法对于快速估计石墨含量很有用。与其他石墨表征技术不同,所提出的方法简单且成本低廉。