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State of Health Battery Algorithm for Real Applications: Presented at EVS 31 EVTeC 2018, Kobe, Japan, October 1 - 3, 2018

机译:卫生电池算法的实际应用:2018年10月1日至3日,Kobe 31&Evtec 2018年介绍了2018年10月1日至3日

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摘要

An accurate model for State of Health estimation in Li-ion batteries is presented. This algorithm can address the state of health estimation at cell, module and battery pack level. An embeddable easy to implement algorithm has been verified and validated in a 79 different scenarios. The algorithm is based on detecting some features, which are easily measured from voltage measurements. The use of the algorithm is suitable to be implemented in different promising applications. Consequently, the algorhithm is also evaluated on this regard. In adittion, some modifications are suggested so to run the estimator quicker.
机译:提出了锂离子电池健康估算状态的准确模型。 该算法可以解决细胞,模块和电池组水平的健康估计状态。 已经验证了一个嵌入式易于实现的算法,并验证了79种不同的场景。 该算法基于检测一些特征,这些功能易于测量电压测量。 算法的使用适用于在不同的有前途的应用中实现。 因此,还对这方面评估了该算法。 在Adittion中,建议一些修改以便更快地运行估算器。

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