李争,张蕊,秦岩,孙鹤旭.基于自适应反演滑模的电池储能系统的能量管理[J].电测与仪表,2022,59(10):67-74. Li Zheng,Zhang Rui,Qin Yan,Sun Hexu.Energy management of battery energy storage system based onadaptive inversion sliding mode[J].Electrical Measurement & Instrumentation,2022,59(10):67-74.
基于自适应反演滑模的电池储能系统的能量管理
Energy management of battery energy storage system based onadaptive inversion sliding mode
The energy output of wind power generation systems is greatly affected by external factors. Usually, battery packs are used to cut peaks and fill valleys to stabilize power. This paper proposes a two-level control of the battery. The extended Kalman particle filter (EKPF) algorithm is used to estimate the state of charge of the battery pack, which reduces the system′s requirements for battery capacity and improves working accuracy. The adaptive inversion sliding mode control strategy is applied to track the reference power based on accurate battery charge state data, which reduces the output power fluctuation of the battery and enables stable tracking. Two-stage control of the battery pack improves the sensitivity and stability of the battery pack. The effectiveness and superiority of the proposed control are verified by simulation and experiments.
