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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 mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Supercapacitors State-of-Health Diagnosis for Electric Vehicle Applications

1
Laboratoire LUSAC, Université de Caen Normandie, Cherbourg, France
2
Equipe CP2S, ENSAM, Université Moulay Ismail, Meknès, Maroc
3
Electrical & Computer Engineering Tennessee Technology University, Cookeville, TN, USA
4
BP 78, rue Louis Aragon, 50130 Cherbourg-Octeville, France
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2016, 8(2), 379-387; https://doi.org/10.3390/wevj8020379
Published: 24 June 2016
PDF [2127 KB, uploaded 15 May 2018]

Abstract

(SoH) estimation is an important feature since aging introduces degradation in supercapacitors’ performance, which might eventually lead to their failure. The diagnosis model is based on a sliding mode observer as a well-known technique for its high nonlinear parameters estimation performance. The main objective of this paper is the online State-of-Health diagnosis based on supercapacitors’ aging indicators estimation. The effectiveness of the proposed online observer is shown through experimental results.
Keywords: diagnosis; EDLC (electric double!layer capacitor or supercapacitor); internal resistance; energy storage; prediction diagnosis; EDLC (electric double!layer capacitor or supercapacitor); internal resistance; energy storage; prediction
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

Mejdoubi, A.E.; Chaoui, H.; Gualous, H.; Oukaour, A.; Slamani, Y.; Sabor, J. Supercapacitors State-of-Health Diagnosis for Electric Vehicle Applications. World Electr. Veh. J. 2016, 8, 379-387.

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