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现场直播红外感知用于离子电池热诊断

Luyu Tian¹, Chaoyu Dong², Huiqing Qi²

¹School of Electrical and Information Engineering, Tianjin University, Tianjin, China.

|January 7, 2026

概括

这项研究引入了一种新的方法,用于精确确定离子电池组中的热故障,即使视图受阻. 它使用旋转相机和先进的人工智能准确地定位故障细胞,提高安全性.

科学领域:

电气工程电气工程
材料科学材料科学材料科学
计算机视觉计算机视觉

背景情况:

在密集的离子电池中,由于细胞封闭,难以准确地定位热故障.
传统的单视角监测不足以有效地预防热失控.

研究的目的:

开发一种新的两阶段框架,用于多视角的热特性和离子电池组中故障的定位.
为了克服在热监测中相互细胞封闭的挑战.

主要方法:

使用实时摄像头旋转来捕获多视角表面热图像,绕过阻塞.
使用检测变压器 (DETR) 进行粗目标表征和视频实例跟踪 (第一阶段).
实施3D不连贯区域探测器,以点四树为基础的面具微调,以精确地定位细胞级故障 (第二阶段).

主要成果:

该框架在封闭下实现了强大而准确的端到端热故障电池定位.
性能指标包括0.78 mAP和0.75 mAR,使用4.5G参数模型推断速度为8.0 FPS.
该系统在不同的环境温度下在Ansys流动生成的电池模型上证明了它的有效性.

结论:

拟议的两阶段框架成功地解决了电池热故障定位中的封闭挑战.
精细的细分边界可以更清楚地识别出故障的电池,为基于热成像的电池故障检测建立了一个新的范式.

关键词:

能源系统能源系统能源工程能源工程是指能源工程.储能储能是指储能过程中的能量.

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