An SOC estimation approach based on adaptive sliding mode observer and fractional order equivalent circuit model for lithium-ion batteries
•This paper proposes an SOC estimation method for lithium-ion battery.•A FO equivalent circuit model is employed to model the dynamics of a battery.•A novel adaptive sliding mode design method is proposed.•More accurate estimation is obtained with designed adaptive SMOs.•Multiple simulation experime...
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Published in: | Communications in nonlinear science & numerical simulation Vol. 24; no. 1-3; pp. 127 - 144 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Elsevier B.V
01-07-2015
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Subjects: | |
Online Access: | Get full text |
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Summary: | •This paper proposes an SOC estimation method for lithium-ion battery.•A FO equivalent circuit model is employed to model the dynamics of a battery.•A novel adaptive sliding mode design method is proposed.•More accurate estimation is obtained with designed adaptive SMOs.•Multiple simulation experiments show the effectiveness of the proposed method.
A state of charge (SOC) estimation approach based on an adaptive sliding mode observer (SMO) and a fractional order equivalent circuit model (FOECM) for lithium-ion batteries is proposed in this paper. In order to design the adaptive sliding mode observer (SMO) for the SOC estimation, the state equations based on a FOECM of battery are derived. A new self-adjusting strategy for the observer gains is presented to adjust the observer in the estimating process, which helps to reduce chattering and convergence time. Furthermore, a continuous and smooth function called hyperbolic tangent function is applied to balance the chattering affection and the disturbance. At last, a battery simulation model is established to test the SOC estimation performance of the designed SMOs, and the results show the proposed approach is feasible and effective. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1007-5704 1878-7274 |
DOI: | 10.1016/j.cnsns.2014.12.015 |