Recursive-Least-Squares-Based Real-Time Estimation of Supercapacitor Parameters

Noam Reichbach, Alon Kuperman

Research output: Contribution to journalArticlepeer-review

81 Scopus citations

Abstract

The letter suggests utilizing a recursive-least-squares identification algorithm for real-time estimation of supercapacitor equivalent capacitance and resistance. Estimation is required since both parameters are subject to age, temperature, and terminal-voltage-based variations in addition to typical 20% tolerance of manufacturer provided values. The proposed approach allows calculating the device instantaneous state of energy used as a fuel gauge instead of the commonly adopted state of charge. Experimental results are given to verify the feasibility of the proposed method.

Original languageEnglish
Article number7403949
Pages (from-to)810-812
Number of pages3
JournalIEEE Transactions on Energy Conversion
Volume31
Issue number2
DOIs
StatePublished - 1 Jun 2016
Externally publishedYes

Keywords

  • Recursive-least squares (RLS)
  • Supercapacitor
  • state of energy

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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