考虑多维性能衰减的储能电池系统运行可靠性评估方法

储能电池系统的发展是推进“双碳”目标的关键所在,伴随而来的却是储能电站的安全隐患,亟需对储能电池系统的可靠性进行准确评估。为此,提出考虑多维性能衰减的储能电池运行可靠性评估方法。首先,提出了基于高斯过程的储能电池性能衰减过程电压特征量分布计算方法,计算充放电循环过程中电压特征量的概率分布,为刻画电池性能衰减提供了重要维度。然后,提出了基于多维通用生成函数的储能电池系统运行可靠性评估方法,通过电压特征量和容量的概率分布计算储能电池单体的可靠性。进而定义可考虑储能电池拓扑连接情况的串并联关系函数,计算储能电池系统整体的可靠性。最后,基于NASA储能电池数据的算例仿真表明所提方法能够实现储能电池系统可靠性的精准评估。

Operational reliability evaluation method for an energy storage battery system considering multi-dimensional performance degradation

The development of energy storage battery systems is key to advancing the "dual carbon" goal, but with it come the potential safety hazards of energy storage power stations. Therefore, it is urgent to accurately evaluate the reliability of energy storage battery systems. This paper proposes a method for evaluating the operational reliability of energy storage batteries considering multidimensional performance degradation. First, a Gaussian process-based method for calculating the distribution of voltage characteristics during the performance degradation process of energy storage batteries is proposed. This calculates the probability distribution of voltage characteristics during the charging and discharging cycle, providing an important dimension for characterizing performance degradation. Then, a multidimensional general generation function-based operational reliability evaluation method for energy storage battery systems is proposed. The reliability of individual batteries is calculated through the probability distribution of voltage characteristics and capacity. Then a series parallel relationship function that can consider the topological connection of energy storage batteries is defined to calculate the overall reliability of the battery system. Finally, a numerical simulation based on NASA energy storage battery data shows that the proposed method can achieve accurate reliability evaluation of such battery systems.