基于传感数据滤波的退役动力电池梯次利用
Echelon Use of Retired Power Battery Based on Sensor Data Filtering
DOI: 10.12677/JSTA.2022.102035, PDF,   
作者: 陈宇乾, 王子赟*, 王 艳, 纪志成:江南大学物联网技术应用教育部工程研究中心,江苏 无锡
关键词: 退役动力电池滤波梯次利用 Retired Power Battery Filter Echelon Use
摘要: 目前,动力电池的回收利用主要包括两种方法,即报废拆解与梯次利用。梯次利用可以将动力电池回收从单体电池的拆解,发展成为电池组及电池包的回收使用,从而达到物尽其用的效果。基于传感数据对电池进行状态估计,根据电池容量的衰减程度的不同,将退役电池划分成不同组别,基于此进行针对性地回收利用。
Abstract: Recently, the recycling of power battery mainly includes two methods, namely scrap disassembly and echelon use. Echelon use can develop the power battery recycling from the dismantling of single battery to the recycling and use of battery module and battery pack, so as to achieve the effect of making full use of everything. Based on the sensor data, the state of the battery was estimated. According to the different attenuation degree of the battery capacity, the retired battery was divided into different groups, based on which the targeted recycling was carried out.
文章引用:陈宇乾, 王子赟, 王艳, 纪志成. 基于传感数据滤波的退役动力电池梯次利用[J]. 传感器技术与应用, 2022, 10(2): 285-290. https://doi.org/10.12677/JSTA.2022.102035

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