模拟基于EFPI的EC-PCF传感器,用于离子电池的多参数监测
Mohith Gaddipati1, Krishnamachar Prasad1, Jeff Kilby1
1School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
这项研究模拟了用于离子电池 (LIB) 的光学传感器. 该传感器使用碳酸乙烯填充的光子晶体纤维 (EC-PCF) 来监测电池健康状况,提高电动汽车和电网存储的安全性和效率.
科学领域:
- 材料科学 材料科学 材料科学
- 光学工程是指光学工程.
- 电化学 电化学 电化学
背景情况:
- 高能离子电池 (LIB) 需要先进的内部监控,以确保安全性和效率.
- 目前的监控解决方案缺乏实时电池管理所需的多功能传感能力.
研究的目的:
- 开发和模拟一个新的集成光学传感器,用于LIBs内的多功能传感.
- 评估传感器对关键电池参数实时监控的能力.
主要方法:
- 使用转移矩阵方法和Airy公式开发了一个模拟模型,用于填充乙烯碳酸盐的光子晶体纤维 (EC-PCF) 传感器.
- 该模型集成了一个状纤维布拉格格 (FBG) 和一个外部的Fabry-Pérot干扰仪 (EFPI) 进行多重传感.
- 蒙特卡洛模拟量化了对制造变化和环境噪声的强度.
主要成果:
- 模拟的传感器显示了对折射率 (RI) (∼1200 nm/RIU),温度 (∼12 pm/°C) 和应变 (∼1.10 pm/με) 的高灵敏度.
- 该设计最大限度地提高了光物质相互作用,通过使用乙烯碳酸盐将PCF覆盖RI与电解质相匹配.
- 模型预测与仪器电池的实验数据进行了验证.
结论:
- 开发的模拟模型为实时LIB监控提供了强大的计算基础.
- 这种集成光学传感器设计为增强电池管理系统 (BMS) 和确保电池安全提供了关键蓝图.
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