Bachér John, Jenu Samppa, Kajolinna Tuula
VTT Technical Research Centre of Finland Ltd, P.O. Box 1000, FI-02044 VTT, Finland.
VTT Technical Research Centre of Finland Ltd, P.O. Box 1000, FI-02044 VTT, Finland.
Waste Manag. 2025 Feb 15;194:137-148. doi: 10.1016/j.wasman.2024.12.038. Epub 2025 Jan 10.
Battery technology has attained a key position as an energy storage technology in decarbonization of energy systems. Lithium-ion batteries have become the dominant technology currently used in consumer appliances, electric vehicles (EVs), and industrial applications. However, lithium-ion batteries are not alike and can have different cathode chemistries which makes their recycling more complex. In addition, as larger quantities of batteries are starting to enter their end-of-life (EOL) stage, efficient handling and management of batteries with different cathode chemistry types are required. By identifying the cathode chemistry type prior to mechanical treatment, mixing of different cathode chemistries could be decreased, resulting in an increase in overall recycling efficiency. This study investigated the applicability of a non-destructive battery diagnostic methods, namely incremental capacity analysis (ICA), for identifying EOL lithium-ion battery chemistry. The study conducted ICA both on known reference batteries and EOL batteries from the recycling industry. Next, EOL batteries were crushed and the resulting fine active material was analysed to validate the ICA result. In addition, released gaseous and airborne particles were measured during crushing. The ICA results showed reliable identification of lithium iron phosphate (LFP) from other chemistries. In addition, lithium cobalt oxide (LCO), lithium nickel cobalt aluminum oxide (NCA) and lithium nickel manganese cobalt oxide (NMC) could be identified with various degrees. The identification may suffer if the battery is heavily used, and its state of health is low.
电池技术已在能源系统脱碳中作为一种储能技术占据关键地位。锂离子电池已成为目前用于消费电器、电动汽车(EV)和工业应用的主导技术。然而,锂离子电池并非完全相同,其阴极化学组成可能不同,这使得它们的回收更为复杂。此外,随着大量电池开始进入其使用寿命结束(EOL)阶段,需要对不同阴极化学类型的电池进行高效处理和管理。通过在机械处理之前识别阴极化学类型,可以减少不同阴极化学组成的混合,从而提高整体回收效率。本研究调查了一种无损电池诊断方法——增量容量分析(ICA)在识别EOL锂离子电池化学组成方面的适用性。该研究对已知的参考电池和回收行业的EOL电池都进行了ICA分析。接下来,将EOL电池粉碎,并对所得的细活性材料进行分析,以验证ICA结果。此外,在粉碎过程中还测量了释放的气体和空气中的颗粒。ICA结果表明能够可靠地从其他化学组成中识别出磷酸铁锂(LFP)。此外,钴酸锂(LCO)、镍钴铝酸锂(NCA)和镍锰钴酸锂(NMC)也能在不同程度上被识别出来。如果电池使用频繁且健康状态不佳,识别可能会受到影响。