背景(考古学)
使用寿命
健康状况
锂(药物)
计算机科学
电池容量
学位(音乐)
电池(电)
可靠性工程
接头(建筑物)
工程类
结构工程
内分泌学
功率(物理)
古生物学
物理
生物
医学
量子力学
声学
作者
Weiwei Qu,Jian Liu,Weixiang Shen
标识
DOI:10.1109/icarm49381.2020.9195285
摘要
In order to prolong the service life, increase the efficiency of operation, and ensure the working safety during the usage of lithium ion batteries (LIBs), it is necessary to develop a reliable and accurate state-of-health (SOH) estimation for LIBs. In this context, a novel method based on joint grey relation analysis is proposed to analyze the unique shape of incremental capacity (IC) curve for LIBs. The proposed method obtains optimal partial IC curve according to inverse accumulated generating operation and slope correlation degree. Experiments are conducted on two lithium cobalt batteries for their whole service life to verify the performance of the proposed method. Results show that the proposed method can accurately estimate the SOH with the maximum estimation error of 2.94%.
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