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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on as a courtesy and upon agreement with AVERE.
Open AccessArticle

Detection of Electric Arcs in Large Batteries

CEA LETI/LITEN, Minatec, Grenoble, France
Grenoble INP, GIPSA-lab, St Martin d’Hères, France
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2013, 6(3), 762-770;
Published: 27 September 2013
PDF [1742 KB, uploaded 18 May 2018]


This paper addresses the precocious detection of electric arcs in an electric vehicle battery generated by a connector fault. The detection principle is based on the acoustic emission of the arc. First, the identification of the electric arc acoustic signature as well as disturbances in the environment of detection has been realized. Subsequently, we have been focused on the propagation of acoustic waves emitted by the arc in the confined environment of the battery. We proposed a detection method based on correlation whose performance was evaluated. Finally, a localization system based on signal time-difference-of-arrival estimation and triangulation is described and assessed. A demonstrator has been developed and validates the detection performance.
Keywords: electric arc; battery monitoring; acoustic signal processing electric arc; battery monitoring; acoustic signal processing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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MDPI and ACS Style

Cattin, V.; Perichon, P.; Dahmani, J.; Schwartzmann, B.; Heiries, V. Detection of Electric Arcs in Large Batteries. World Electr. Veh. J. 2013, 6, 762-770.

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