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Method for Predicting State of Health of Battery Based on Numerical Simulation Data

机译:基于数值模拟数据的电池健康状态预测方法

摘要

A method for predicting a life state of a battery according to an embodiment of the present invention is a method for estimating a life state of a battery performed by a battery management system, Obtaining a numerical simulation database in which solution data of the battery is extracted and stored if the numerical analysis result is verified as a laboratory result through electrical and chemical analysis on the battery; Counting the number of times of charging or discharging when the deviation between the reference data read from the verified numerical simulation database and the measurement data read from the battery is within a predetermined range and the battery capacity satisfies a predetermined condition; And predicting a lifetime state of the battery using the number of times of charging or discharging and the classifier according to the learned machine learning algorithm.
机译:根据本发明的实施例的用于预测电池的寿命状态的方法是用于估计由电池管理系统执行的电池的寿命状态的方法,获得其中提取了电池的溶液数据的数值模拟数据库。如果通过电池的电气和化学分析将数值分析结果验证为实验室结果,则将其存储;当从验证后的数值模拟数据库读取的基准数据与从电池读取的测量数据之间的偏差在预定范围内并且电池容量满足预定条件时,对充电或放电次数进行计数;然后根据学习的机器学习算法,使用充电或放电的次数以及分类器来预测电池的寿命状态。

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