The invention belongs to the technical field of automobile battery detection, and particularly relates to a probability mutation rule-based voltage abnormal monomer identification algorithm, which comprises the following steps of: a data acquisition step: acquiring voltage data of a battery monomer by taking a vehicle as a unit; an analysis and screening step: performing statistical analysis on the voltage data; analyzing cumulative voltage frequency distribution smaller than a preset voltage value in a cumulative frequency mode, screening out a corresponding voltage value when the cumulativevoltage frequency is smaller than X, and recording the voltage value as a low-voltage threshold value; analyzing cumulative voltage frequency distribution greater than a preset voltage value in a cumulative frequency mode, screening out a corresponding voltage value when the cumulative voltage frequency is less than X, and recording the voltage value as a high-voltage threshold; and a battery monomer inspection step: carrying out statistical analysis on the data of the battery monomer. By using the algorithm, the effective utilization rate of the battery data can be improved, and the single battery with abnormal voltage can be quickly identified.
本发明属于汽车电池检测技术领域,尤其涉及一种基于概率突变法则的电压异常单体的识别算法,包括:数据获取步骤,以车辆为单元,获取电池单体的电压数据;分析筛选步骤,对电压数据进行统计分析;用累计频率的方式分析小于预设电压值的累计电压频率分布,筛选出累计电压频率小于X时对应的电压值,并将其记录为低压阈值;用累计频率的方式分析大于预设电压值的累计电压频率分布,筛选出累计电压频率小于X时对应的电压值,并将其记录为高压阈值;电池单体检验步骤,对电池单体的数据进行统计分析。使用本算法,能够提高电池数据的有效利用率,快速对电压异常的电池单体进行识别。
Voltage abnormal monomer identification algorithm based on probability abrupt change rule
一种基于概率突变法则的电压异常单体的识别算法
2020-11-03
Patent
Electronic Resource
Chinese
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