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
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.
参考文献
|
[1]
|
Zhang, J.Y., Shi, Y.J., Zheng, Y.D., Jiang, H., Lei, B. and Yuan, Z.Y. (2021) Study on PCS Topology of Large Capaci-ty Energy Storage System Based on Retired Power Battery Reuse. The 10th Renewable Power Generation Conference, Online Conference, 14-15 October 2021, 1004-1009.
|
|
[2]
|
朱广燕, 刘三兵, 海滨, 陈效华. 动力电池回收及梯次利用研究现状[J]. 电源技术, 2015, 39(7): 1564-1566.
|
|
[3]
|
高震, 张新慧, 颜勇, 彭克. 退役锂离子电池梯次利用状态区间划分[J]. 电池, 2021, 51(2): 209-213.
|
|
[4]
|
王红美, 刘建利. 基于K-means聚类的退役动力电池梯次利用分选方法[J]. 电子技术与软件工程, 2021(7): 225-226.
|
|
[5]
|
Wang, Y., Wang, Z., Puig, V. and Cembrano, G. (2019) Zonotopic Set-Membership State Estimation for Discrete-Time Descriptor LPV Systems. IEEE Transactions on Auto-matic Control, 64, 2092-2099. [Google Scholar] [CrossRef]
|