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

Xiaogang Wu; Zhihao Cui; Gang Zhou; Tao Wen; Fangfang Hu; Jiuyu Du; Minggao Ouyang

doi:10.1016/j.isci.2021.103058

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

iScience. 2021 Aug 28;24(9):103058. doi: 10.1016/j.isci.2021.103058. eCollection 2021 Sep 24.

Authors

Xiaogang Wu^{1

2}, Zhihao Cui^{1

2}, Gang Zhou³, Tao Wen^{1

2}, Fangfang Hu⁴, Jiuyu Du², Minggao Ouyang²

Affiliations

¹ School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China.
² State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China.
³ State Grid Fujian Electric Power CO., Ltd, Fuzhou 350003, China.
⁴ Beijing Products Quality Supervision and Inspection Institute, Beijing 101300, China.

Abstract

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.

Keywords: energy management; energy resources; energy storage; energy systems.