针对退役电池初始特性参数不一致性,多因素影响下电池模组筛选效果不佳的难题,提出一种基于SOP动态一致性的电池模组筛选方法。首先,为表征退役动力电池梯次利用筛选时初始特性,选取退役动力电池的端电压、容量和内阻作为静态筛选的参量,并提出基于密度思想的改进K-均值聚类的静态筛选方法;其次,从静态筛选结果中选取一致性较好的单体电池,建立电压、荷电状态（SOC）、电池健康状态（SOH）等因素与功率状态（SOP）的特征关系,对退役动力电池SOP动态特性进行估计;最后,将SOP一致性较好的退役电池串联成组,建立SOP与电池模组寿命损耗关联关系,基于SOP动态一致性进行电池模组的动态筛选。通过仿真分析验证所提筛选方法的有效性,可有效延长退役电池的使用寿命。
Abstract
Aiming at the problem of inconsistent initial characteristic parameters of retired batteries and poor screening effect of battery modules under multiple influencing factors, a method for condition evaluation and screening of battery modules based on SOP dynamic consistency is proposed. Firstly, in order to effectively characterize the initial characteristics of retired power batteries during echelon utilization screening, it selects the terminal voltage, capacity and internal resistance as static screening parameters, and an improved K-means clustering static screening method based on density is proposed. Secondly, single cells with good consistency are selected from the initial screening results, the characteristic relationships between voltage, state of charge （SOC）, state of health （SOH） and state of power （SOP）are established, and SOP characteristics of retired power batteries are estimated. Finally, the retired batteries with the same power state after static screening are connected in series into groups, the relationship between SOP and battery module life loss is established, and retired power battery modules based on SOP dynamic consistency is screened. The validity of the proposed screening method is verified by simulation analysis, which can effectively prolong the service life of decommissioned batteries.
关键词
电池模组 /
功率状态 /
动力电池 /
动态一致性 /
静动态筛选 /
寿命损耗
Key words
battery modules /
state of powe /
battery /
dynamic consistency /
static and dynamic screening /
life loss
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基金
沈阳市科学技术计划“揭榜挂帅”产业共性技术项目（22-316-1-13）
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