基于储能电网热电特性一致性偏差的综合预警策略

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

作者信息

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

机构信息

School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China.

State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China.

出版信息

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

DOI:10.1016/j.isci.2021.103058

PMID:34541471

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8441077/

Abstract

Lithium iron phosphate (LiFePO) 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 LiFePO 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 LiFePO 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.

摘要

磷酸铁锂（LiFePO）电池在储能系统中一直占据主导地位。然而，电池的荷电状态（SOC）估计以及安全预警存在困难。为解决这些问题，本文基于磷酸铁锂电池电气和热特性的一致性偏差，制定了一种多时间尺度综合预警策略。采用无迹卡尔曼滤波方法估计电池的SOC。通过在不同时间尺度、不同等效电阻下的故障触发实验，对所建立的综合预警策略进行了验证。结果表明，该综合预警策略能够在不同储能条件下，针对磷酸铁锂电池不同时间尺度的故障实现预警。对于可能导致安全阀破裂的更危险严重故障，能够提前15分钟实现安全预警。本研究为确保储能系统安全可靠运行提供了参考。