储能科学与技术2024，Vol.13Issue(6)：1995-2009,15.DOI:10.19799/j.cnki.2095-4239.2024.0101
锂电池热失控早期典型气体精准检测方法
Accurate typical gas detection of lithium battery in early thermal runaway period
摘要
Abstract
Lithium battery energy storage plays a crucial role in harnessing new energy for power generation and achieving the national"dual-carbon"objectives.This technology is indispensable for ground-based,industrial,and commercial energy-storage applications.A critical aspect of its widespread adoption is ensuring the safety of lithium batteries against thermal runaway and fire hazards.To this end,early detection of gases typically released during the thermal runaway phase of a lithium battery is essential for fire warning in energy storage.However,accurately identifying these gases poses challenges in environments with mixed gases owing to cross-interference from data collected by various gas sensors.Such interferences often lead to inaccurate detections,delayed or false alarms,and potential fire hazards.To address these issues,we propose a decoupling method designed to enhance the precision of detecting typical gases,namely H2 and CO concentrations,in mixed gas environments.This method involves establishing response models for each sensor in different single-gas environments and understanding the cross-coupling relationships between different gases and sensors.By deriving the relationship between the sensor signals and the gas components and concentrations in mixed-gas scenarios,we can establish an equation system.This system is crucial for obtaining precise concentration data for each gas,thus facilitating the decoupling of sensor data.In experimental testing with a mixed gas scenario of H2 and CO,which was built to simulate the early gas environment of lithium battery thermal runaway across different chemical systems and different states of charge.The results demonstrated a detection error of less than 50 mL/m3 within the concentration range of 0-1000 mL/m3.The maximum improvement in detection accuracy reached 15%,validating the effectiveness of the proposed method outlined in this study.关键词
锂电池储能/热失控/气体检测/交叉干扰/数据交叉解耦算法Key words
lithium battery energy storage/thermal runaway/gas detection/cross interference/data cross decoupling algorithm分类
信息技术与安全科学引用本文复制引用
刘宝泉,曹小雨..锂电池热失控早期典型气体精准检测方法[J].储能科学与技术,2024,13(6):1995-2009,15.基金项目
陕西省自然科学基金(2023-JC-YB-381). （2023-JC-YB-381）
