|本期目录/Table of Contents|

[1]李平春,周勇,张和平.锂离子电池电解液烟雾与干扰气溶胶的光散射偏振辨识模拟研究[J].中国安全生产科学技术,2026,22(5):126-133.[doi:10.11731/j.issn.1673-193x.2026.05.015]
　Li Pingchun,Zhou Yong,Zhang Heping.Simulation study on light scattering polarization identification of electrolyte smoke of lithium-ion battery and interfering aerosol[J].Journal of Safety Science and Technology,2026,22(5):126-133.[doi:10.11731/j.issn.1673-193x.2026.05.015]
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锂离子电池电解液烟雾与干扰气溶胶的光散射偏振辨识模拟研究

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
22
期数:
2026年5期
页码:
126-133
栏目:
火灾与爆炸安全
出版日期:
2026-05-30

文章信息/Info

Title:
Simulation study on light scattering polarization identification of electrolyte smoke of lithium-ion battery and interfering aerosol
文章编号:
1673-193X(2026)-05-0126-08
作者:
李平春; 周勇; 张和平
(中国科学技术大学 火灾安全全国重点实验室，安徽 合肥 230026)
Author(s):
Li Pingchun;  Zhou Yong;  Zhang Heping
(State Key Laboratory of Fire Science,University of Science and Technology of China,Hefei Anhui 230022,China)
关键词:
锂离子电池; 火灾烟雾探测; 误报; 光散射; 偏振特性
Keywords:
lithium-ion battery;  fire smoke detection;  false alarm;  light scattering;  polarization characteristics
分类号:
X932
DOI:
10.11731/j.issn.1673-193x.2026.05.015
文献标志码:
A
摘要:
为解决储能电站中光电式感烟探测器易受粉尘、水雾等非火灾气溶胶干扰而误报的问题，构建EC-DEC、EC-DMC和EC-DEC-DMC 3种锂离子电池电解液烟雾模型、正庚烷烟雾模型以及粉尘和水雾2种典型干扰气溶胶模型，模拟储能电站内可能出现的火灾与干扰场景。采用Mieplot和DDA 2种光散射模拟方法，计算并分析颗粒物的光散射矩阵，从光散射偏振特性出发，系统探究火灾烟雾与干扰气溶胶的识别特征。研究结果表明：在2种波长下，利用光散射矩阵元素F11/F11(30°)的前向散射峰值差异，均可有效区分干扰气溶胶、正庚烷烟雾与电解液烟雾，并给出相应的判定阈值；在0.633 μm波长下，利用特定散射角范围内的光散射矩阵元素-F12/F11特征参量，可以进一步辨识火灾烟雾与干扰气溶胶；基于此，提出1种具备高可靠性的双参数辨识方法，建议在储能电站单波长探测系统中优先采用0.633 μm波长，基于F11/F11(30°)与-F12/F11的双特征冗余判定体系来抑制误报。研究结果可为储能电站火灾烟雾探测的抗干扰设计提供理论与技术支持。
Abstract:
In order to solve the problem that the photoelectric smoke detector in the energy storage power station is susceptible to the interference of non-fire aerosols such as dust and water mist,this study constructed three lithium-ion battery electrolyte smoke models of EC-DEC,EC-DMC and EC-DEC-DMC,an n-heptane smoke model and two typical interference aerosol models of dust and water mist,simulating potential fire and interference scenarios within the station.Based on the two light scattering simulation methods of Mieplot and DDA,the light scattering matrix of the above particles was calculated and analyzed.Based on the polarization characteristics of light scattering,the identification characteristics of fire smoke and interfering aerosols were systematically explored.The results indicate that at both investigated wavelengths,the forward scattering peak differences of F11/F11(30°) can effectively distinguish interfering aerosols,n-heptane smoke,and electrolyte smoke,and the corresponding decision thresholds are provided.At the 0.633 μm wavelength,the characteristic parameter -F12/F11 within specific scattering angle ranges allows for the further identification of fire smoke and interfering aerosols.Based on these findings,this paper proposes a highly reliable dual-parameter identification method and suggests that the 0.633 μm wavelength be prioritized in single-wavelength detection systems for energy storage power stations,utilizing a dual-feature redundancy decision system based on F11/F11(30°) and -F12/F11 to suppress false alarms.These research results are expected to provide theoretical and technical support for the anti-interference design of fire smoke detection in energy storage power stations.

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备注/Memo

备注/Memo:
收稿日期： 2026-01-24；修回日期：2026-04-15
作者简介： 李平春，硕士研究生，主要研究方向为火灾烟雾探测。
通信作者： 周勇，博士，高级工程师，主要研究方向为火灾烟雾探测。
更新日期/Last Update: 2026-06-03