基于模糊逻辑控制理论的储能系统SOC加权控制方法研究

Qing Ding, Yang Yu, Hao Yao, Xiao Yuan, Xiaofan Zhu, Kai Ding, Rui Chen, Deqiang Gong, SaiLi Wang, W. Xi, Yuming Zhao
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引用次数: 0

摘要

均衡系统是大容量储能管理系统中的一项关键技术。现有的主动均衡和被动均衡只能控制模块(集群)内部的容量和电压偏差。虽然集群中SOC的平衡是通过电池中能量的传递或消耗来实现的,但大容量储能系统的系统拓扑结构复杂,电池数量庞大。对于整个储能系统而言,特别是当系统输出功率需求接近或超过系统额定功率时,必须考虑整体SOC平衡。短板集群将限制整个系统的输出功率能力。针对大容量储能系统的荷电平衡问题,根据模糊逻辑控制理论中的荷电加权控制算法,将储能控制器发出的功率指令分配给储能系统。通过双向DC/DC变换器的功率控制,使电池组荷电状态值高于平均值的电池组在放电阶段放出更多的功率,荷电状态值低于平均值的电池组在充电阶段吸收更多的能量,从而使电池组的容量保持一致。并详细阐述了基于模糊逻辑理论的SOC权重控制的具体实现步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on SOC Weighted Control Method of Energy Storage System Based on Fuzzy Logic Control Theory
The equalization system is a key technology in the large-capacity energy storage management system. The existing active equalization and passive equalization can only control the capacity and voltage deviation inside the module (cluster). Although the balance of the SOC in the cluster is realized by the transfer or consumption of the energy in the batteries, the system topology of the large-capacity energy storage is complex and the number of batteries is large. For the entire energy storage system, the overall SOC balance must be considered especially when the system power output demand is close to or exceeds the rated power of the system. The short board cluster will limit the output power capabilities of the overall system. Aiming at the SOC balance of large-capacity energy storage system, this paper allocates the power command sent by the energy storage controller to the energy storage system according to the SOC weighted control algorithm of the fuzzy logic control theory. Through the power control of the bidirectional DC/DC converter, the battery pack whose cluster SOC value is higher than the average value discharge more power in the discharge phase, and the battery pack with SOC value lower than the average value absorbs more energy in the charging stage, resulting the capacity consistency of the battery clusters. Also, the specific implementation steps achieving the SOC weighed control based on Fuzzy logic theory has been illustrated in detail.
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