Deuso Sara Li, Ziegler Simon, Weber Daniel, Breuer Felix, Haddad Daniel, Müssig Stephan, Flegler Andreas, Giffin Guinevere A, Mandel Karl
Department of Chemistry and Pharmacy, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Egerlandstraße 1, 91058, Erlangen, Germany.
Fraunhofer R&D Center Electromobility, Fraunhofer Insitute for Silicate Research (ISC), Neunerplatz 2, 97082, Würzburg, Germany.
ChemSusChem. 2025 Mar 15;18(6):e202401142. doi: 10.1002/cssc.202401142. Epub 2024 Nov 10.
The development of effective recycling technologies is essential for the recovery and reuse of the raw materials required for lithium-ion batteries (LIBs). Future recycling processes depend on accessible information, necessitating the implementation of a digital battery passport. The European battery regulation mandates the use of a machine-readable identifier physically attached to the batteries for accessing digital information. Since externally applied optical labels are vulnerable to mechanical damage, technologies for identification without these restrictions could be beneficial. This study demonstrates that magnetic supraparticles (SPs) can be used for contactless identification of lithium nickel manganese cobalt oxide (NMC) battery pouch cells via magnetic particle spectroscopy (MPS) and that multiple pouch cells can be discriminated based on their specific magnetic code. A comparison of three independent model scenarios revealed that the detection of SPs and the impact on cell performance are dependent on the integration location. The results validate the concept of magnetic identification in metallic environments with MPS as an alternative to optical labeling methods. This study provides a foundation for the development of a new selective labeling and identification technology for batteries, with the potential to facilitate recycling and contribute to a more sustainable future.
开发有效的回收技术对于锂离子电池(LIBs)所需原材料的回收和再利用至关重要。未来的回收过程依赖于可获取的信息,因此需要实施数字电池护照。欧洲电池法规要求使用物理附着在电池上的机器可读标识符来访问数字信息。由于外部应用的光学标签容易受到机械损坏,不受这些限制的识别技术可能会很有帮助。本研究表明,磁性超粒子(SPs)可通过磁性粒子光谱法(MPS)用于对锂镍锰钴氧化物(NMC)软包电池进行非接触式识别,并且多个软包电池可根据其特定磁码进行区分。对三种独立模型场景的比较表明,SPs的检测及其对电池性能的影响取决于集成位置。结果验证了在金属环境中使用MPS进行磁性识别作为光学标记方法替代方案的概念。本研究为开发一种新的电池选择性标记和识别技术奠定了基础,该技术有可能促进回收利用并为更可持续的未来做出贡献。