Xiong Rui, Ma Suxiao, Li Hailong, Sun Fengchun, Li Ju
National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China; Department of Nuclear Science and Engineering and Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
iScience. 2020 Apr 24;23(4):101010. doi: 10.1016/j.isci.2020.101010. Epub 2020 Mar 25.
Lithium-ion batteries are commonly used as sources of power for electric vehicles (EVs). Battery safety is a major concern, due to a large number of accidents, for which short circuit has been considered as one of the main causes. Therefore, diagnosing and prognosticating short circuit are of great significance to improve EV safety. This work reviews the current state of the art about the diagnosis and prognosis of short circuit, covering the method and the key indicators. The findings provide important insights regarding how to improve the battery safety.
锂离子电池通常用作电动汽车(EV)的电源。由于大量事故的发生,电池安全成为一个主要问题,其中短路被认为是主要原因之一。因此,诊断和预测短路对于提高电动汽车安全性具有重要意义。这项工作回顾了关于短路诊断和预测的当前技术状态,涵盖了方法和关键指标。这些发现为如何提高电池安全性提供了重要见解。