锂电池梯次利用中筛选技术的最新研究进展

伟 肖(长江大学机械工程学院，中国)
卫东 张(长江大学机械工程学院，中国)
伦旺 肖(长江大学机械工程学院，中国)
利勤 钱(长江大学机械工程学院，中国)

摘要

中国新能源汽车产量从2016年约46万辆增长至2024年约1316万辆，一辆普通家用电动车至少有上百节电池，特斯拉电动车有上千节电池，由于电池老化而直接带来的废旧锂电池数量是极其庞大的。处理不当会严重造成环境污染，如何处理这些废旧锂电池成为锂电池行业的重要工程问题。解决问题的关键在于：对废旧锂电池分类处理。因此，梯次利用技术应运而生，继续可用的电池进行二次利用，不可用的电池进行材料回收。本文主要综述了梯次利用当中二次寿命锂电池的筛选技术，目的是选出继续可用的锂电池。介绍了神经网络在电池筛选中的发挥的作用，并回顾了近年来随机森林，机器学习等一些先进算法和超声波、光谱等先进设备在电池筛选过程中的应用。电池筛选技术结合神经网络和机器学习成为技术发展的新趋势。

关键词

梯次利用筛选

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DOI: http://dx.doi.org/10.12345/dlynyqy.v3i9.32293