A correlation based fault detection method for short circuits in battery packs

Xia, Bing; Shang, Yunlong; Nguyen, Truong; Mi, Chris

doi:10.1016/j.jpowsour.2016.11.007

A correlation based fault detection method for short circuits in battery packs

Journal Article · Wed Nov 09 00:00:00 EST 2016 · Journal of Power Sources

DOI:https://doi.org/10.1016/j.jpowsour.2016.11.007· OSTI ID:1534042

Xia, Bing ^[1]; Shang, Yunlong ^[2]; Nguyen, Truong ^[3]; ^[2]

San Diego State University, CA (United States); University of California San Diego, La Jolla, CA (United States); DOE/OSTI
San Diego State University, CA (United States)
University of California San Diego, La Jolla, CA (United States)

Here this paper presents a fault detection method for short circuits based on the correlation coefficient of voltage curves. The proposed method utilizes the direct voltage measurements from the battery cells, and does not require any additional hardware or effort in modeling during fault detection. Moreover, the inherent mathematical properties of the correlation coefficient ensure the robustness of this method as the battery pack ages or is imbalanced in real applications. In order to apply this method online, the recursive moving window correlation coefficient calculation is adopted to maintain the detection sensitivity to faults during operation. An additive square wave is designed to prevent false positive detections when the batteries are at rest. The fault isolation can be achieved by identifying the overlapped cell in the correlation coefficients with fault flags. Simulation and experimental results validated the feasibility and demonstrated the advantages of this method.

View Accepted Manuscript (DOE)

Research Organization:: San Diego State University, CA (United States); University of Michigan, Ann Arbor, MI (United States)

Sponsoring Organization:: Nanjing Golden Dragon Bus Co., Ltd; USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: EE0005565

OSTI ID:: 1534042

Alternate ID(s):: OSTI ID: 1410824

Journal Information:: Journal of Power Sources, Journal Name: Journal of Power Sources Journal Issue: C Vol. 337; ISSN 0378-7753

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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correlation coefficient
fault diagnosis
lithium-ion batteries
short circuit

A correlation based fault detection method for short circuits in battery packs

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