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

机译:用于电池管理系统和能量存储应用的光纤传感技术

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摘要

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.
机译:由于具有精确状态估计的增强电池管理系统的需求,光纤传感器对电池监测的应用一直在增加。本综述的目标是讨论能够实现电池内部参数测量的实际实施,包括局部温度,应变,压力和折射率进行一般操作的进展,以及用于热量的温度梯度和通风气体感应等外部测量失控即将到来的检测。在不同范围能力的光纤传感器之间讨论了合理的匹配,其中三个级别的电池系统,即电动汽车和重型电动车电池组,以及网格级电池系统。讨论了光纤传感器在电传感器上的优点,而纤维植入电池的电化学稳定性问题受到严重评估。该综述还包括典型光纤传感器的估计传感系统成本,并将高询问成本识别为其实际部署到电池中的一个限制。最后,将未来的观点考虑在将光纤的实施中的实现中,进入高价值电池应用,例如网格级能量存储故障检测和预测系统。

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