电动汽车废电池诊断与拆解技术发展趋势及未来环保研发战略建议

Chaeeun Byun, Jihyun Seo, Min kyoung Lee, Keiko Yamada, Sang-hun Lee
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引用次数: 0

摘要

随着人们对电动汽车需求的不断增长,报废汽车或解决电池老化问题迫切需要对电动汽车废旧电池进行适当的管理。在技术发展方面,废旧电动汽车电池的数据驱动诊断和管理技术日益受到关注。此外,基于机器人的自动拆卸技术看起来很有趣,但需要进行工业验证,并与未来电池相关的数据库系统建立联系。其中,开发和推广各种先进的电池诊断和评估技术,以提高废电池回收的效率和安全/环境至关重要。将锂相关化学物质纳入公共污染物释放和转移登记册(PRTR)数据库,以及深入评估废电动汽车电池燃烧过程中的气体排放及其相关消防安全是必要的步骤。因此,需要进一步的研究和开发,从基于数据的诊断/分类/拆卸过程以及再利用/回收和最终处置等各个方面优化废电池的生命周期管理。这里的想法是,这些数据应该有助于清洁设计和制造,以减轻环境负担,并促进未来电池的生产。这种优化还应考虑到未来的技术和市场趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Current Trend of EV (Electric Vehicle) Waste Battery Diagnosis and Dismantling Technologies and a Suggestion for Future R&D Strategy with Environmental Friendliness
Owing to the increasing demand for electric vehicles (EVs), appropriate management of their waste batteries is required urgently for scrapped vehicles or for addressing battery aging. With respect to technological developments, data-driven diagnosis of waste EV batteries and management technologies have drawn increasing attention. Moreover, robot-based automatic dismantling technologies, which are seemingly interesting, require industrial verifications and linkages with future battery-related database systems. Among these, it is critical to develop and disseminate various advanced battery diagnosis and assessment techniques to improve the efficiency and safety/environment of the recirculation of waste batteries. Incorporation of lithium-related chemical substances in the public pollutant release and transfer register (PRTR) database as well as in-depth risk assessment of gas emissions in waste EV battery combustion and their relevant fire safety are some of the necessary steps. Further research and development thus are needed for optimizing the lifecycle management of waste batteries from various aspects related to data-based diagnosis/classification/disassembly processes as well as reuse/recycling and final disposal. The idea here is that the data should contribute to clean design and manufacturing to reduce the environmental burden and facilitate in future production of batteries. Such optimization should also consider the future technological and market trends.
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