State Estimation of Lithium Batteries for Energy Storage Based on Dual Extended Kalman Filter
Joint Authors
Xu, Xinming
Wu, Di
Yang, Lei
Zhang, Huai
Liu, Guangjun
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In general, battery packs are monitored by the battery management system (BMS) to ensure the efficiency and reliability of the energy storage system.
SOC and SOH represent the battery’s energy and lifetime, respectively.
They are the core aspects of the battery BMS.
The traditional method assumes that the SOC is determined by the integral of the current input and output from the battery over time, which is an open-loop-based approach and often accompanies by poor estimation accuracy and the accumulation of sensor errors.
The contribution of this work is to establish a new equivalent circuit model based on the lithium battery external characteristic, and the battery parameters are identified by considering the influence of capacity fade, voltage rebound, and internal capacitance-resistance performance.
The correlation between the ohmic internal resistance and real capacity is obtained by degradation test.
Then, the dual extended Kalman filter (DEKF) is used to perform real-time prediction of the lithium battery state.
And through the simulation analysis and experiments, the feasibility and precision of the estimation method are well proved.
American Psychological Association (APA)
Xu, Xinming& Wu, Di& Yang, Lei& Zhang, Huai& Liu, Guangjun. 2020. State Estimation of Lithium Batteries for Energy Storage Based on Dual Extended Kalman Filter. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1196526
Modern Language Association (MLA)
Xu, Xinming…[et al.]. State Estimation of Lithium Batteries for Energy Storage Based on Dual Extended Kalman Filter. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1196526
American Medical Association (AMA)
Xu, Xinming& Wu, Di& Yang, Lei& Zhang, Huai& Liu, Guangjun. State Estimation of Lithium Batteries for Energy Storage Based on Dual Extended Kalman Filter. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1196526
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196526