Estimating the state of charge of lithium batteries based on fractional-order sliding-mode observer

The study of the application of the sliding mode observer method that estimates the state of charge. Based on the state space model of battery established on the model of improved EMF equivalent circuit, a sliding mode state observer is designed to help improve the jitter problem. Considering the nonlinear terms in the model for the analysis of the stability of the observer and the characteristics of the industry under its derivative, and using Lagrange mean value theory to guarantee the convergence conditions of the observer, the design parameters of the observer can thus be determined .Then, this thesis compares the simulation of this method under Matlab environment with the extended Kalman filter method. The results show that the method has higher estimation accuracy in the case of the same battery modeling errors. Therefore, the SOC estimation of the sliding mode observer can effectively reduce the state of charge estimation error introduced by the model error.

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Adaptive gain sliding mode observer for state of charge estimation based on combined battery equivalent circuit model in electric vehicles

2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA) ◽

10.1109/iciea.2013.6566439 ◽

2013 ◽

Cited By ~ 3

Author(s):

Xiaopeng Chen ◽

Weixiang Shen ◽

Zhenwei Cao ◽

Ajay Kapoor ◽

Ismat Hijazin

Keyword(s):

Equivalent Circuit ◽

Electric Vehicles ◽

Sliding Mode ◽

Equivalent Circuit Model ◽

Circuit Model ◽

Sliding Mode Observer ◽

State Of Charge ◽

State Of Charge Estimation

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Estimation and Fault Diagnosis of Lithium-Ion Batteries: A Fractional-Order System Approach

Mathematical Problems in Engineering ◽

10.1155/2018/8705363 ◽

2018 ◽

Vol 2018 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Shulan Kong ◽

Mehrdad Saif ◽

Guozeng Cui

Keyword(s):

Fault Diagnosis ◽

Fault Detection ◽

Fractional Order ◽

Sliding Mode ◽

Estimation Error ◽

Lithium Ion ◽

Fault Isolation ◽

Sliding Mode Observer ◽

Fault Detection And Isolation ◽

Order System

This study investigates estimation and fault diagnosis of fractional-order Lithium-ion battery system. Two simple and common types of observers are designed to address the design of fault diagnosis and estimation for the fractional-order systems. Fractional-order Luenberger observers are employed to generate residuals which are then used to investigate the feasibility of model based fault detection and isolation. Once a fault is detected and isolated, a fractional-order sliding mode observer is constructed to provide an estimate of the isolated fault. The paper presents some theoretical results for designing stable observers and fault estimators. In particular, the notion of stability in the sense of Mittag-Leffler is first introduced to discuss the state estimation error dynamics. Overall, the design of the Luenberger observer as well as the sliding mode observer can accomplish fault detection, fault isolation, and estimation. The effectiveness of the proposed strategy on a three-cell battery string system is demonstrated.

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