摘要： 【目的】隨著電池和超級電容器等儲(chǔ)能設(shè)備在全球范圍內(nèi)的廣泛應(yīng)用，對其性能進(jìn)行實(shí)時(shí)在線監(jiān)測變得愈發(fā)關(guān)鍵，電池傳感系統(tǒng)的重要性也在日益凸顯。傳統(tǒng)傳感器容易受到電磁干擾，而光學(xué)傳感器具有減少電磁干擾、體積小、重量輕等優(yōu)點(diǎn)，能明顯提高估算荷電狀態(tài)(state of charge，SOC)和健康狀態(tài)(state of health，SOH)的準(zhǔn)確性。【方法】詳細(xì)介紹了光纖倏逝波傳感器、光纖布拉格光柵傳感器、光纖局域表面等離子體共振傳感器的工作原理及其應(yīng)用實(shí)例。此外，還探討了如何利用先進(jìn)的數(shù)據(jù)處理技術(shù)和算法，從大量原始數(shù)據(jù)中提取有價(jià)值的信息，以進(jìn)一步優(yōu)化電池性能、預(yù)測故障并提升整體系統(tǒng)效率?！窘Y(jié)果】通過應(yīng)用先進(jìn)的數(shù)據(jù)分析技術(shù)，如特征選擇、模式識(shí)別和預(yù)測建模等，能夠有效提升對電池性能的理解，提前發(fā)現(xiàn)潛在問題，從而增強(qiáng)系統(tǒng)的整體性能和安全性。【結(jié)論】未來的研究應(yīng)集中在進(jìn)一步提高傳感器本身的性能，包括靈敏度、穩(wěn)定性和成本效益；同時(shí)也要加強(qiáng)數(shù)據(jù)處理算法的發(fā)展，以更好地適應(yīng)快速變化的市場需求。

關(guān)鍵詞: 光纖傳感技術(shù), 電池管理系統(tǒng), 荷電狀態(tài)(SOC), 健康狀態(tài)(SOH), 光纖布拉格光柵, 數(shù)據(jù)處理技術(shù)

Abstract: [Objectives] With the widespread application of energy storage devices such as batteries and super capacitors globally, real-time online monitoring of their performance has become increasingly critical, and the importance of battery sensing systems is also becoming more evident. Traditional sensors are easily affected by electromagnetic interference, while optical sensors have the advantages of reducing electromagnetic interference, small size, and light weight, which can significantly improve the accuracy of estimating SOC and SOH. [Methods] The working principles and application examples of fiber evanescent wave sensors, fiber Bragg grating sensors, and fiber local surface plasmon resonance sensors are introduced in detail. In addition, it also explores 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. [Results] 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; at the same time, it should also strengthen the development of data processing algorithms to better adapt to rapidly changing market needs. Key words: text-align:justify, ">batter, fiber sensing technology, battery management system, state of charge (SOC), state of health(SOH), fiber bragg grating, data processing technology

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