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Open AccessArticle

Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery

School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China
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Energies 2019, 12(12), 2242; https://doi.org/10.3390/en12122242
Received: 30 April 2019 / Revised: 28 May 2019 / Accepted: 6 June 2019 / Published: 12 June 2019
(This article belongs to the Special Issue Energy Storage and Management for Electric Vehicles)
With the popularity of electric vehicles, lithium-ion batteries as a power source are an important part of electric vehicles, and online identification of equivalent circuit model parameters of a lithium-ion battery has gradually become a focus of research. A second-order RC equivalent circuit model of a lithium-ion battery cell is modeled and analyzed in this paper. An adaptive expression of the variable forgetting factor is constructed. An adaptive forgetting factor recursive least square (AFFRLS) method for online identification of equivalent circuit model parameters is proposed. The equivalent circuit model parameters are identified online on the basis of the dynamic stress testing (DST) experiment. The online voltage prediction of the lithium-ion battery is carried out by using the identified circuit parameters. Taking the measurable actual terminal voltage of a single battery cell as a reference, by comparing the predicted battery terminal voltage with the actual measured terminal voltage, it is shown that the proposed AFFRLS algorithm is superior to the existing forgetting factor recursive least square (FFRLS) and variable forgetting factor recursive least square (VFFRLS) algorithms in accuracy and rapidity, which proves the feasibility and correctness of the proposed parameter identification algorithm. View Full-Text
Keywords: lithium-ion battery; equivalent circuit model; recursive least square; adaptive forgetting factor; parameter identification lithium-ion battery; equivalent circuit model; recursive least square; adaptive forgetting factor; parameter identification
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MDPI and ACS Style

Sun, X.; Ji, J.; Ren, B.; Xie, C.; Yan, D. Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery. Energies 2019, 12, 2242. https://doi.org/10.3390/en12122242

AMA Style

Sun X, Ji J, Ren B, Xie C, Yan D. Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery. Energies. 2019; 12(12):2242. https://doi.org/10.3390/en12122242

Chicago/Turabian Style

Sun, Xiangdong; Ji, Jingrun; Ren, Biying; Xie, Chenxue; Yan, Dan. 2019. "Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery" Energies 12, no. 12: 2242. https://doi.org/10.3390/en12122242

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