陈鑫,刘松,施文,李金鼎,袁帅,袁伟,苗飞,程东浩.锂离子电池运输包装:热失控监测与早期预警技术研究进展[J].包装工程,2025,46(13):48-58.
CHEN Xin,LIU Song,SHI Wen,LI Jinding,YUAN Shuai,YUAN Wei,MIAO Fei,CHENG Donghao.Research Progress on Thermal Runaway Monitoring and Early Warning Technologies for Lithium-ion Battery Transport Packaging[J].Packaging Engineering,2025,46(13):48-58. |
| 锂离子电池运输包装:热失控监测与早期预警技术研究进展 |
| Research Progress on Thermal Runaway Monitoring and Early Warning Technologies for Lithium-ion Battery Transport Packaging |
| 投稿时间：2025-06-01 |
| DOI：10.19554/j.cnki.1001-3563.2025.13.006 |
| 中文关键词: 锂离子电池 运输包装 热失控 监测 早期预警 |
| 英文关键词:lithium-ion battery transport packaging thermal runaway monitoring early warning |
| 基金项目:国家重点研发计划项目(2023YFC3009504) |
| 作者 | 单位 |
| 陈鑫 | 山东航空学院，山东 滨州 256603 |
| 刘松 | 山东航空学院，山东 滨州 256603 |
| 施文 | 中国民航科学技术研究院，北京 101399 |
| 李金鼎 | 中国民航科学技术研究院，北京 101399 |
| 袁帅 | 中国民航科学技术研究院，北京 101399 |
| 袁伟 | 山东航空学院，山东 滨州 256603 |
| 苗飞 | 山东航空学院，山东 滨州 256603 |
| 程东浩 | 中国民航科学技术研究院，北京 101399 |
|
| Author | Institution |
| CHEN Xin | Shandong University of Aeronautics, Shandong Binzhou 256603, China |
| LIU Song | Shandong University of Aeronautics, Shandong Binzhou 256603, China |
| SHI Wen | China Academy of Civil Aviation Science and Technology, Beijing 101399, China |
| LI Jinding | China Academy of Civil Aviation Science and Technology, Beijing 101399, China |
| YUAN Shuai | China Academy of Civil Aviation Science and Technology, Beijing 101399, China |
| YUAN Wei | Shandong University of Aeronautics, Shandong Binzhou 256603, China |
| MIAO Fei | Shandong University of Aeronautics, Shandong Binzhou 256603, China |
| CHENG Donghao | China Academy of Civil Aviation Science and Technology, Beijing 101399, China |
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| 中文摘要: |
| 目的 为应对锂离子电池在运输过程中日益突出的热失控安全风险，系统梳理当前锂电池热失控监测与预警领域的主要技术路径，并分析其在运输包装场景下的适应性问题。方法 本文围绕电学、热学、力学、气体、声学与光学6类预警方法，从其工作原理、技术优劣及适应性方面进行对比分析，并结合危化品运输、冷链物流以及AI赋能的预警技术路径，提出将多源感知与边缘处理集成于运输包装系统的技术框架设想。结论 当前监测手段在响应滞后、传感器布设受限及环境适应性等方面存在挑战。未来应加强多模态传感融合、轻量化数据处理与分级响应机制的研究，以推动构建高可靠性、高适配性的锂电池运输安全保障系统。 |
| 英文摘要: |
| To address the increasing safety risks of thermal runaway in lithium-ion batteries during transportation, the work aims to systematically review the major technological approaches in thermal runaway monitoring and early warning, and analyze their adaptability in transport packaging scenarios. By focusing on six types of early warning methods of electrical, thermal, mechanical, gas, acoustic, and optical fields, their working principles, technical advantages and disadvantages, and adaptability were compared. Additionally, combined with technological paths from dangerous goods transportation, cold chain logistics, and AI-enabled early warning systems, a conceptual framework integrating multi-source sensing and edge processing into the transportation packaging system was proposed. Existing monitoring methods face challenges such as delayed response, sensor deployment limitations, and poor environmental adaptability. Future work should focus on multimodal sensing fusion, lightweight data processing, and hierarchical response mechanisms to support the development of highly reliable and adaptable safety systems for lithium-ion transport. |
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