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用于电池管理系统和储能应用的光纤传感技术

Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications.

作者信息

Su Yang D, Preger Yuliya, Burroughs Hannah, Sun Chenhu, Ohodnicki Paul R

机构信息

Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15260, USA.

Sandia National Laboratories, Albuquerque, NM 87123, USA.

出版信息

Sensors (Basel). 2021 Feb 17;21(4):1397. doi: 10.3390/s21041397.

Abstract

Applications of fiber optic sensors to battery monitoring have been increasing due to the growing need of enhanced battery management systems with accurate state estimations. The goal of this review is to discuss the advancements enabling the practical implementation of battery internal parameter measurements including local temperature, strain, pressure, and refractive index for general operation, as well as the external measurements such as temperature gradients and vent gas sensing for thermal runaway imminent detection. A reasonable matching is discussed between fiber optic sensors of different range capabilities with battery systems of three levels of scales, namely electric vehicle and heavy-duty electric truck battery packs, and grid-scale battery systems. The advantages of fiber optic sensors over electrical sensors are discussed, while electrochemical stability issues of fiber-implanted batteries are critically assessed. This review also includes the estimated sensing system costs for typical fiber optic sensors and identifies the high interrogation cost as one of the limitations in their practical deployment into batteries. Finally, future perspectives are considered in the implementation of fiber optics into high-value battery applications such as grid-scale energy storage fault detection and prediction systems.

摘要

由于对具有精确状态估计的增强型电池管理系统的需求不断增长,光纤传感器在电池监测中的应用一直在增加。本综述的目的是讨论实现电池内部参数测量实际应用的进展,包括用于一般运行的局部温度、应变、压力和折射率测量,以及用于热失控即将发生检测的外部测量,如温度梯度和排气气体传感。讨论了不同量程能力的光纤传感器与三种规模的电池系统之间的合理匹配,这三种规模分别是电动汽车和重型电动卡车电池组,以及电网规模的电池系统。讨论了光纤传感器相对于电传感器的优势,同时对光纤植入电池的电化学稳定性问题进行了严格评估。本综述还包括典型光纤传感器的传感系统成本估算,并指出高询问成本是其实际应用于电池的限制之一。最后,考虑了将光纤应用于高价值电池应用(如电网规模储能故障检测和预测系统)的未来前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b4/7923102/e0cacc97ff9c/sensors-21-01397-g001.jpg

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