Real-time state-of-energy estimation of supercapacitor-based energy storage

Noam Reichbach, Sergei Kolesnik, Alon Kuperman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper suggests utilizing a recursive-least-squares identification algorithm for online supercapacitor parameters estimation in order to calculate its state of energy (SOE). The SOE is used as a fuel gauge of the supercapacitor instead of the commonly adopted state of charge (SOC). The proposed method allows to precisely estimate the remaining energy capacity of a supercapacitor utilized e.g. as backup energy device or primary energy storage.

Original languageAmerican English
Title of host publicationProceedings of 2015 IEEE East-West Design and Test Symposium, EWDTS 2015
ISBN (Electronic)9781467377751
DOIs
StatePublished - 15 Jun 2016
Externally publishedYes
Event2015 IEEE East-West Design and Test Symposium, EWDTS 2015 - Batumi, Georgia
Duration: 26 Sep 201529 Sep 2015

Publication series

NameProceedings of 2015 IEEE East-West Design and Test Symposium, EWDTS 2015

Conference

Conference2015 IEEE East-West Design and Test Symposium, EWDTS 2015
Country/TerritoryGeorgia
CityBatumi
Period26/09/1529/09/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'Real-time state-of-energy estimation of supercapacitor-based energy storage'. Together they form a unique fingerprint.

Cite this