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

Noam Reichbach; Alon Kuperman

doi:10.1109/TEC.2016.2521324

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

Research output: Contribution to journal › Article › peer-review

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 language	American English
Article number	7403949
Pages (from-to)	810-812
Number of pages	3
Journal	IEEE Transactions on Energy Conversion
Volume	31
Issue number	2
DOIs	https://doi.org/10.1109/TEC.2016.2521324
State	Published - 1 Jun 2016
Externally published	Yes

Keywords

Recursive-least squares (RLS)
Supercapacitor
state of energy

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/TEC.2016.2521324

Cite this

@article{eb29b4aab8b8409d86d8c2ed29c13c2c,

title = "Recursive-Least-Squares-Based Real-Time Estimation of Supercapacitor Parameters",

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.",

keywords = "Recursive-least squares (RLS), Supercapacitor, state of energy",

author = "Noam Reichbach and Alon Kuperman",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

month = jun,

day = "1",

doi = "10.1109/TEC.2016.2521324",

language = "American English",

volume = "31",

pages = "810--812",

journal = "IEEE Transactions on Energy Conversion",

issn = "0885-8969",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

}

TY - JOUR

T1 - Recursive-Least-Squares-Based Real-Time Estimation of Supercapacitor Parameters

AU - Reichbach, Noam

AU - Kuperman, Alon

PY - 2016/6/1

Y1 - 2016/6/1

N2 - 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.

AB - 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.

KW - Recursive-least squares (RLS)

KW - Supercapacitor

KW - state of energy

UR - http://www.scopus.com/inward/record.url?scp=84958642182&partnerID=8YFLogxK

U2 - 10.1109/TEC.2016.2521324

DO - 10.1109/TEC.2016.2521324

M3 - Article

SN - 0885-8969

VL - 31

SP - 810

EP - 812

JO - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

IS - 2

M1 - 7403949

ER -

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

Abstract

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this