A Parameter Extraction Method for the Li-ion Batteries with Wide Range Temperature Compensation

Hossain, M., Saha, S., Arif, M.T, Oo, AMT, Mendis, N. and Haque, M.E 2020, A Parameter Extraction Method for the Li-ion Batteries with Wide Range Temperature Compensation, IEEE Transactions on Industry Applications, pp. 1-10, doi: 10.1109/tia.2020.3011385.

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Title A Parameter Extraction Method for the Li-ion Batteries with Wide Range Temperature Compensation
Author(s) Hossain, M.
Saha, S.ORCID iD for Saha, S. orcid.org/0000-0003-0584-4352
Arif, M.TORCID iD for Arif, M.T orcid.org/0000-0001-8071-3235
Oo, AMT
Mendis, N.ORCID iD for Mendis, N. orcid.org/0000-0002-8893-2181
Haque, M.E
Journal name IEEE Transactions on Industry Applications
Start page 1
End page 10
Total pages 10
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 0093-9994
1939-9367
Keyword(s) Li-ion battery
equivalent circuit battery model
first-order LTI system
temperature compensated parameter extraction
state of charge
Summary An accurate battery model is essential for precise estimation of battery performance indicators such as state of charge (SoC), state of health (SoH), etc. It helps in determining the optimum energy management and, therefore, optimum utilization of the battery capacity. Some of the battery model parameters may change with the variation of environmental conditions such as operating temperature, and, therefore, accurate temperature compensated model estimation is necessary to minimize the error in battery model and SoC estimation. This paper presents a novel parameters extraction method for the Thevenin equivalent circuit model (ECM) of Li-ion batteries considering their resiliency on temperature effect. The proposed approach represents each of the RC parallel circuits of the Thevenin based equivalent circuit battery model (ECBM) as a first-order linear time-invariant (LTI) system. The resistance and capacitance values for each of the RC circuits in the model have been identified as the parameters of a standard LTI system using the system identification theory and represented them as the temperature compensated model parameters. The proposed model can be applied to various applications such as SoC, SoH estimation, and battery energy management. In order to demonstrate the suitability of the proposed modeling approach, the model is augmented with the conventional extended Kalman filter (EKF) to enable accurate SoC estimation under varying operating temperatures. The accuracy and effectiveness of the proposed modeling approach and its suitability to enhance SoC estimation under a wide operating temperature range (-5C to 45C) have been validated through laboratory experiments in the LabVIEW platform.
Notes Early Access Article
Language eng
DOI 10.1109/tia.2020.3011385
Indigenous content off
Field of Research 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
08 Information and Computing Sciences
09 Engineering
Socio Economic Objective 850599 Renewable Energy not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30140974

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