Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid

• Main Authors: Xiaogang Wu, Zhihao Cui, Gang Zhou, Tao Wen, Fangfang Hu, Jiuyu Du, Minggao Ouyang
• Format: Article
• Language: English
• Published: Elsevier 2021-09-01
• Series: iScience
• Subjects: energy resources; energy systems; energy management; energy storage
• Online Access: http://www.sciencedirect.com/science/article/pii/S2589004221010269

Summary: Lithium iron phosphate (LiFePO4) batteries have been dominant in energy storage systems. However, it is difficult to estimate the state of charge (SOC) and safety early warning of the batteries. To solve these problems, this paper developed a multiple timescale comprehensive early warning strategy based on the consistency deviation of the electrical and thermal characteristics of LiFePO4 batteries. The unscented Kalman filter method was employed to estimate the battery SOC. The established comprehensive early warning strategy was verified through fault-triggered experiments at different time scales with different equivalent resistances. The results show that the comprehensive early warning strategy can realize early warning for different timescale failures of LiFePO4 batteries under different energy storage conditions. For more dangerous severe failures that can break the safety valve, safety early warning can be realized 15 min in advance. This study provides a reference to ensure safe and reliable operations of energy storage systems.