Title :
Multiple cell lithium-ion battery system electric fault online diagnostics
Author :
Bing Xia ; Mi, Chris ; Zheng Chen ; Robert, Brian
Author_Institution :
Univ. of Michigan Dearborn, Dearborn, MI, USA
Abstract :
This paper introduces an integrated online electrical safety diagnostic algorithm for lithium-ion battery systems, which includes the detection of over charge, over discharge, external short circuit and internal short circuit faults. Experiments were conducted for each fault and the safety criteria, presented by a combination of voltage, current and temperature, were built according to empirical results. Based on the criteria, an integrated electrical fault diagnostic algorithm is proposed. Experimental results show that the proposed algorithm is effective and robust at detecting and distinguishing electric faults for multiple cell battery arrangements online.
Keywords :
electrical safety; fault currents; fault diagnosis; reliability; secondary cells; short-circuit currents; external short-circuit faults; integrated online electrical safety diagnostic algorithm; internal short-circuit faults; multiple cell lithium-ion battery system electric fault online diagnostics; over charge detection; over discharge detection; Discharges (electric); Levee; external short circuit; fault diagnostic; internal short circuit; over charge; over discharge;
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2015 IEEE
Conference_Location :
Dearborn, MI
DOI :
10.1109/ITEC.2015.7165777