Liu Haodong, Zhang Hongjian, Ren Bing, Zheng Yapeng, Cao Wei, Lu Yufei, Nie Zhentao, Xu Feng, Huang Wei, Zhu Jixin
Frontiers Science Center for Flexible Electronics (FSCFE), Xi'an Institute of Flexible Electronics (IFE), Xi'an Institute of Biomedical Materials and Engineering, Northwestern Polytechnical University (NPU), 127 West Youyi Road, Xi'an 710072, China.
School of Flexible Electronics (SoFE) and Henan Institute of Flexible Electronics (HIFE), Henan University, 379 Mingli Road, Zhengzhou 450046, China.
Nano Lett. 2024 Feb 21;24(7):2315-2321. doi: 10.1021/acs.nanolett.3c04709. Epub 2024 Feb 11.
Commercial batteries have been largely applied in mobile electronics, electric vehicles, and scalable energy storage systems. However, thermal runaway of batteries still obstructs the reliability of electric equipment. Considering this, building upon recent investigations of energy thermal safety, commercially available organogel fiber-based implantable sensors have been developed through 3D printing technology for first operando implantable monitoring of cell temperature. The printed fibers present excellent reliability and superelasticity because of internal supramolecular cross-linking. High temperature sensitivity (-39.84% °C/-1.557% °C) within a wide range (-15 to 80 °C) is achieved, and the corresponding mechanism is clarified based on in situ temperature-dependent Raman technology. Furthermore, taking the pouch cell as an example, combined with finite element analysis, the real-time observation system of cell temperature is successfully demonstrated through an implanted sensor with wireless Bluetooth transmission. This enlightening approach paves the way for achieving safety monitoring and smart warnings for various electric equipment.
商用电池已广泛应用于移动电子产品、电动汽车和可扩展储能系统。然而,电池热失控仍然阻碍着电气设备的可靠性。考虑到这一点,基于近期对能量热安全性的研究,通过3D打印技术开发了市售的基于有机凝胶纤维的可植入传感器,用于首次对细胞温度进行术中可植入监测。由于内部超分子交联,打印出的纤维具有出色的可靠性和超弹性。在较宽的温度范围(-15至80°C)内实现了高温度灵敏度(-39.84% °C/-1.557% °C),并基于原位温度相关拉曼技术阐明了相应的机制。此外,以软包电池为例,结合有限元分析,通过具有无线蓝牙传输功能的植入式传感器成功展示了电池温度实时观测系统。这种具有启发性的方法为实现对各种电气设备的安全监测和智能预警铺平了道路。