Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter
Joint Authors
Cheng, Ze
Lv, Jikao
Liu, Yanli
Yan, Zhihao
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
An accurate estimation of the state of charge (SOC) of the battery is of great significance for safe and efficient energy utilization of electric vehicles.
Given the nonlinear dynamic system of the lithium-ion battery, the parameters of the second-order RC equivalent circuit model were calibrated and optimized using a nonlinear least squares algorithm in the Simulink parameter estimation toolbox.
A comparison was made between this finite difference extended Kalman filter (FDEKF) and the standard extended Kalman filter in the SOC estimation.
The results show that the model can essentially predict the dynamic voltage behavior of the lithium-ion battery, and the FDEKF algorithm can maintain good accuracy in the estimation process and has strong robustness against modeling error.
American Psychological Association (APA)
Cheng, Ze& Lv, Jikao& Liu, Yanli& Yan, Zhihao. 2014. Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-464743
Modern Language Association (MLA)
Cheng, Ze…[et al.]. Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter. Journal of Applied Mathematics No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-464743
American Medical Association (AMA)
Cheng, Ze& Lv, Jikao& Liu, Yanli& Yan, Zhihao. Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-464743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464743