内阻
荷电状态
健康状况
电池(电)
锂离子电池
离子
估计
国家(计算机科学)
电池容量
电荷(物理)
抗性(生态学)
锂(药物)
电气工程
计算机科学
材料科学
电压
可靠性工程
核工程
电池组
化学
工程类
物理
心理学
系统工程
功率(物理)
算法
热力学
生物
有机化学
内分泌学
精神科
医学
量子力学
生态学
作者
Yun Bao,Wenbin Dong,Dian Wang
出处
期刊:Energies
[MDPI AG]
日期:2018-04-26
卷期号:11 (5): 1073-1073
被引量:53
摘要
State of charge (SOC) and state of health (SOH) are two significant state parameters for the lithium ion batteries (LiBs). In obtaining these states, the capacity of the battery is an indispensable parameter that is hard to detect directly online. However, there is a strong correlation relationship between this parameter and battery internal resistance. This article first shows a simple and effective online internal resistance detection method. Secondly, the relationship between the measured internal resistance and the LiBs capacity is established by linear fitting. Finally, the capacity through internal resistance conversion is applied in SOC estimation. The estimation results show that this method can effectively enhance the SOC estimation accuracy regardless of temperature change and battery degradation.
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