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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
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