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光纤传感技术在电池荷电状态和健康状态监测中的应用研究

赵康 闫正义 王凯

发电技术2026,Vol.47Issue(4):807-817,11.
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发电技术2026,Vol.47Issue(4):807-817,11.DOI:10.12096/j.2096-4528.pgt.260412

光纤传感技术在电池荷电状态和健康状态监测中的应用研究

Application Research on Fiber-Optic Sensing Technology in Battery State of Charge and State of Health Monitoring

赵康 1闫正义 1王凯1

作者信息

  • 1. 青岛大学电气工程学院,山东省 青岛市 266071
  • 折叠

摘要

Abstract

[Objectives]With the widespread application of energy storage devices such as batteries and supercapacitors worldwide,real-time online monitoring of their performance has become increasingly critical,and the importance of battery sensing systems is also pronounced.Traditional sensors are susceptible to electromagnetic interference,while optical sensors have the advantages of reduced electromagnetic interference,small size,and light weight,which can significantly improve the accuracy of estimating state of charge(SOC)and state of health(SOH).Therefore,it is necessary to study the application of fiber-optic sensing technology in battery SOC and SOH monitoring.Therefore,it is necessary to analyze its research progress.[Methods]The working principles and application cases of fiber-optic evanescent wave sensors,fiber Bragg grating sensors,and fiber-optic localized surface plasmon resonance sensors are introduced in detail.In addition,it discusses how to use advanced data processing technologies and algorithms to extract valuable information from a large amount of raw data to further optimize battery performance,predict failures,and improve overall system efficiency.By applying advanced data analysis technologies,such as feature selection,pattern recognition,and predictive modeling,it is possible to effectively improve the understanding of battery performance and identify potential problems in advance,thereby enhancing the overall performance and safety of the system.[Conclusions].Future research should focus on further improving the performance of the sensor itself,including sensitivity,stability,and cost-effectiveness.Additionally,the development of data processing algorithms should be promoted to better adapt to the rapidly changing market needs.

关键词

电池/光纤传感技术/电池管理系统/荷电状态(SOC)/健康状态(SOH)/光纤布拉格光栅/数据处理技术

Key words

battery/fiber-optic sensing technology/battery management system/state of charge(SOC)/state of health(SOH)/fiber Bragg grating/data processing technology

分类

能源科技

引用本文复制引用

赵康,闫正义,王凯..光纤传感技术在电池荷电状态和健康状态监测中的应用研究[J].发电技术,2026,47(4):807-817,11.

基金项目

国家自然科学基金项目(12374088,51877113) (12374088,51877113)

山东省高等学校青年创新团队(2022KJ139). Project Supported by National Natural Science Foundation of China(12374088,51877113) (2022KJ139)

Youth Innovation Technology Project of Higher School in Shandong Province(2022KJ139). (2022KJ139)

发电技术

2096-4528

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