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

Noam Reichbach, Alon Kuperman

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

85 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 language	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

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/TEC.2016.2521324

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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.",

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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.

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KW - state of energy

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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