基于多源信息融合的储能电站锂电池SOC估算方法

SOC Estimation Method for Lithium Battery in Energy Storage Power Station Based on Multi-source Information Fusion

随着储能电站容量的增大,储能电站电池组数量的增加,导致电池组之间的差异也会变大,继续采用单一或者几种电池模型和数据模型的SOC估算方法无法准确估计,为此,本文基于多源信息融合技术,提出了一种适用于储能电站大规模锂电池组的SOC估算方法,根据储能电池在不同工况下的特征曲线,建立完备的数据库,不断修正并消除估算模型在电池运行状态下产生的误差,得出精确的SOC估算数据。

With the increase of the capacity of energy storage plants and the number of battery packs in energy storage plants, the differences between battery packs will become larger. It is impossible to accurately estimate the SOC of single or several battery models and data models. Therefore, based on multi-source information fusion technology, this paper proposes a SOC estimation method for large-scale lithium battery packs in energy storage plants. According to the characteristic curves of energy storage battery under different operating conditions, a complete database is established, and the errors caused by the estimation model in battery operation are constantly revised and eliminated, and accurate SOC estimation data are obtained.