State of Charge Estimation for Lithium-Ion Battery by Using Dual Square Root Cubature Kalman Filter

Joint Authors

Chen, Luping
Xu, Liangjun
Wang, Ruoyu

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-12-24

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

The state of charge (SOC) plays an important role in battery management systems (BMS).

However, SOC cannot be measured directly and an accurate state estimation is difficult to obtain due to the nonlinear battery characteristics.

In this paper, a method of SOC estimation with parameter updating by using the dual square root cubature Kalman filter (DSRCKF) is proposed.

The proposed method has been validated experimentally and the results are compared with dual extended Kalman filter (DEKF) and dual square root unscented Kalman filter (DSRUKF) methods.

Experimental results have shown that the proposed method has the most balance performance among them in terms of the SOC estimation accuracy, execution time, and convergence rate.

American Psychological Association (APA)

Chen, Luping& Xu, Liangjun& Wang, Ruoyu. 2017. State of Charge Estimation for Lithium-Ion Battery by Using Dual Square Root Cubature Kalman Filter. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190744

Modern Language Association (MLA)

Chen, Luping…[et al.]. State of Charge Estimation for Lithium-Ion Battery by Using Dual Square Root Cubature Kalman Filter. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1190744

American Medical Association (AMA)

Chen, Luping& Xu, Liangjun& Wang, Ruoyu. State of Charge Estimation for Lithium-Ion Battery by Using Dual Square Root Cubature Kalman Filter. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190744

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190744