Model-based sensor fault diagnostics of Double-Layer Capacitors

Satadru Dey, Sara Mohon, Simona Onori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Double-Layer Capacitors (DLC) are becoming popular energy storage elements in several systems such as automotive propulsion systems, renewable energy storage and auxiliary power units. Optimal energy management, estimation and control algorithms for such DLCs heavily depend on sensor measurements, namely voltage, current and temperature sensors. Any fault in such sensors may result in degraded operation of DLCs thereby increasing the risk of significant damage. In this paper, an equivalent circuit model in conjunction with a set of observers is employed to design a sensor fault diagnosis scheme for DLCs. The scheme consists of an electrical and a temperature observer, the output errors of which are used as residual signals for fault diagnosis. Further, to suppress the effects of modeling uncertainties, adaptive threshold generators are also designed. Simulation studies are presented to validate the effectiveness of the proposed approach.

Original languageEnglish (US)
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781467386821
StatePublished - Jul 28 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: Jul 6 2016Jul 8 2016

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2016 American Control Conference, ACC 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


Dive into the research topics of 'Model-based sensor fault diagnostics of Double-Layer Capacitors'. Together they form a unique fingerprint.

Cite this