Title :
Failure detection for over-discharged Li-ion batteries
Author :
Xiong, Jing ; Banvait, Harpreetsingh ; Li, Lingxi ; Chen, Yaobin ; Xie, Jian ; Liu, Yadong ; Wu, Meng ; Chen, Jie
Author_Institution :
Dept. of Electr. & Comput. Eng., Indiana Univ. Purdue Univ. Indianapolis, Indianapolis, IN, USA
Abstract :
Over-discharge is one of the most common electrical abuses a Li-ion battery suffers. This paper presents preliminary results for the failure signatures of over-discharged Li-ion batteries, and proposes a rule-based method and a probabilistic method for failure detection. The two methods are verified using experimental results for a Li-ion battery. The proposed methods were successfully implemented in a real-time system for failure detection and early warning.
Keywords :
fault diagnosis; secondary cells; early warning; failure detection; over-discharged secondary batteries; probabilistic method; rule-based method; Batteries; Discharges (electric); Probabilistic logic; Real time systems; Safety; Temperature distribution; Thermal stability; Li-ion batteries; failure detection; over-discharge;
Conference_Titel :
Electric Vehicle Conference (IEVC), 2012 IEEE International
Conference_Location :
Greenville, SC
Print_ISBN :
978-1-4673-1562-3
DOI :
10.1109/IEVC.2012.6183238
