Sensor based in-operando lithium-ion battery monitoring in dynamic service environment
发表时间:2021-02-22     阅读次数:     字体:【


摘要

In this work, a dynamic testing platform to analyze lithium-ion battery (LIB) performance degradation and safety during in-service vibration and impacts is presented. The LIBs are cycled until end of life (EOL) under various dynamic conditions, providing in-operando battery performance examination. A sensor network constructed consisting of a resistance temperature detector (RTD), an accelerometer, an eddy current sensor and a shunt resistor is incorporated into the setup. Mechanisms of LIB capacity fade, temperature rise, and deformation from cycling in representative dynamic environments are analyzed and compared with results from theoretical analyses as well as with electrode structure evaluation. The sensor network identifies critical periods with high heat generation and stress accumulation rates. By comparing single cell and battery pack performances, complex effects of examined boundary conditions on LIB heat generation are analyzed. Using the sensor network, an approach to identify critical cell(s) with the highest risk of safety hazards without the need for electrochemical modeling is presented. Raman spectroscopy analyses, SEM imaging, and electrochemical impedance spectroscopy (EIS) analyses are also applied to support the observations.


部分图片:

图1 In-operando testing platform for LIBs, (a): Setup for in-operando vibration test, and (b): Setup for in-operando impact test analysis.

引文信息

B. Li, C.M. Jones, T.E. Adams, V. Tomar, Sensor based in-operando lithium-ion battery monitoring in dynamic service environment, Journal of Power Sources. 486 (2021) 229349. https://doi.org/10.1016/j.jpowsour.2020.229349.(下载链接

其他相关论文


上一篇:A new method to explore thermal and venting behavior of lithium-ion battery thermal runaway
下一篇:Modular Equalization System Using Dual Phase-Shift-Controlled Capacitively Isolated Dual Active Bridge Converters to Equalize Cells and Modules in Series-Connected Lithium-Ion Batteries
0
联系地址:北京市海淀区中关村南大街5号北京理工大学   Copyright  ©  2020-   先进储能科学与应用联合实验室  All Rights Reserved.网站地图
友情链接: 新能源与智能载运期刊    北京理工大学    机械与车辆学院