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OA

[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.