High-resolution thermal monitoring of lithium-ion batteries using Brillouin scattering based fiber optic sensor with flexible spatial arrangement of sensing points

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Wookjin Jeong , Sang-Ok Kim , Hyojun Lim , Kwanil Lee
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Abstract

To ensure the safety assessment and reliable lifespan prediction of energy storage systems, an effective battery temperature management system is essential. Traditional point sensors with limited measurement ranges are inadequate for comprehensive diagnostics. This paper presents the Brillouin optical correlation domain analysis system as an innovative solution for real-time temperature distribution monitoring during battery operation. Our proposed distributed fiber optic sensor leverages advanced optical techniques to achieve spatial resolution of 1.4 cm and measurement uncertainty of 0.38 °C. For precise temperature distribution measurement on the surface of polymer-based lithium-ion batteries, a single strand of optical fiber was arranged in a serpentine pattern. We compared the temperature variations on the battery surface during different C-rates of charging and discharging processes using a traditional thermistor and our fiber optic sensor. The results confirm that the fiber optic sensor effectively captures sudden temperature changes due to its rapid response time. Furthermore, we demonstrated comprehensive temperature distribution monitoring during a 1C charge and discharge process, showcasing the capability of system in tracking thermal anomalies and accurately assessing the state of battery. This advanced monitoring approach significantly enhances battery health diagnostics and ensures better management of energy storage systems.
利用基于布里渊散射的光纤传感器对锂离子电池进行高分辨率热监测,传感点空间布置灵活
为确保对储能系统进行安全评估和可靠的寿命预测,有效的电池温度管理系统至关重要。传统的点传感器测量范围有限,不足以进行全面诊断。本文提出了布里渊光学相关域分析系统,作为电池运行期间实时温度分布监测的创新解决方案。我们提出的分布式光纤传感器利用先进的光学技术实现了 1.4 厘米的空间分辨率和 0.38 °C的测量不确定性。为了精确测量聚合物锂离子电池表面的温度分布,我们将单股光纤排列成蛇形。我们使用传统热敏电阻和光纤传感器比较了电池表面在不同充电和放电 C 速率过程中的温度变化。结果证实,由于光纤传感器的快速响应时间,它能有效捕捉温度的突然变化。此外,我们还演示了在 1C 充放电过程中对温度分布的全面监测,展示了系统跟踪热异常和准确评估电池状态的能力。这种先进的监测方法极大地增强了电池健康诊断能力,确保更好地管理储能系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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