Estimation of parameters and state of charge battery using adaptive robust square-root cubature filter

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HAVANGI RAMAZAN

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Journal Paper

Paper Information

Journal: ELECTRONIC INDUSTRIES Year:2021 | Volume:11 | Issue:4 Page(s): 25-37

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Information Journal Paper

Title

Estimation of parameters and state of charge battery using adaptive robust square-root cubature filter

Author(s)

HAVANGI RAMAZAN | Issue Writer Certificate

Keywords

Lithium-ion Battery

State of Charge estimation

Robust filter

square-root cubature Kalman filter

Abstract

In Battery Management Systems (BMS), State of charge of Battery (SOC) estimation is very important to ensure performance and to prevent overcharging and discharging. So far, various methods have been presented to estimate state of charge of Battery. In most of these methods, the statistical characteristics of process noise and measurement are assumed to be known. By choosing the wrong statistical characteristics of process noise and measurement, the performance of the filters is affected and the accuracy of the charging state estimation is reduced and may even lead to divergence. To solve this problem, in this paper, adaptive robust square-root cubature filter is used to estimate state of charge of battery and the least squares recursive algorithm is used to estimate the battery parameters. The proposed method, along with the benefits of reducing computational cost, has advantages such as increased compatibility leading to greater numerical stability and better performance. This is because in the proposed method, all variance matrices remain positive definite. In addition, the proposed method is robust to inaccurate noise information as well as non-Gaussian noise. To evaluate the performance of the proposed method, this method is compared with the classical methods. To evaluate the performance of the proposed method, this method has been compared with the classical method of estimating the state of charge of a battery. The results show the effective performance of the proposed method compared to the other methods.

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APA: Copy

HAVANGI, RAMAZAN. (2021). Estimation of parameters and state of charge battery using adaptive robust square-root cubature filter. ELECTRONIC INDUSTRIES, 11(4 ), 25-37. SID. https://sid.ir/paper/955172/en

Vancouver: Copy

HAVANGI RAMAZAN. Estimation of parameters and state of charge battery using adaptive robust square-root cubature filter. ELECTRONIC INDUSTRIES[Internet]. 2021;11(4 ):25-37. Available from: https://sid.ir/paper/955172/en

IEEE: Copy

RAMAZAN HAVANGI, “Estimation of parameters and state of charge battery using adaptive robust square-root cubature filter,” ELECTRONIC INDUSTRIES, vol. 11, no. 4 , pp. 25–37, 2021, [Online]. Available: https://sid.ir/paper/955172/en

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